How to get the most out of your ad spend this Black Friday and Cyber Monday.

How to get the most out of your ad spend this Black Friday and Cyber Monday.

We’re down to the wire when it comes to Black Friday and Cyber Monday 2019. Because of the way that Thanksgiving fell this year, the holiday sales cycle is compressed and shortened. This compression has already had tremendous impacts on ecommerce businesses this month. Ecommerce companies across the spectrum are struggling to get traffic and conversions out of their standard ad spends.

In this post, we’ll walk through ways that you can leverage data to help you maximize your ROI and ROAS. While we’re focusing on Black Friday and Cyber Monday, these tips and this information is applicable year-round.

How to make sure that you maximize your ROI this Black Friday-

The first step to maximizing your returns is making sure that you have data.

That means getting your tracking in order. Lots of business owners and marketers put tracking off. It’s a common impulse.

Tracking takes time and it feels tedious to set up triggers and events for everything on your site; but no one can make up historical data. If you don’t set up your tracking until you’ve already been in business for 5 years, you will miss out on 5 years of data and insights.

Even waiting to start until after the holidays will cause you to miss out on potential insights into how you can better capture and serve your customers.

We recommend that everyone do a quick audit of their tracking systems to establish where they are now. Some of the things to check in this audit are:

  • Do your UTMs all track properly across your customer journey?
  • Are your UTMs organized in a way that makes sense and actually helps you better understand your customers?
  • Can you see right now where your traffic is coming from, and which traffic converts the best?

If you can’t answer yes to all of those questions, then you won’t be able to get nearly as much out of your Black Friday data.

As we talked about earlier, you can’t analyze what you don’t have. So if you don’t have your tracking set up before Black Friday and Cyber Monday, you won’t be able to know what you can do to improve your results next year.

Moving into UTMs, you NEED to make sure to track all of your marketing efforts with UTMs. They can help you track variations on ads, help with split testing, and give you clarity into what marketing efforts actually drive results for your business.

Step two to maximizing your returns is reviewing your data.

If you already have UTMs in place and feel confident in your tracking, then you can take the next few weeks to review your data. Look at what has worked for you in the past: analyze which emails have the best open and click-through rates, check which ads yield the highest ROAS, what buttons drive the highest cart values, etc.

Too often we get caught up in our plans for the future. We get locked in a cycle of what we want to test next, and we forget to look at what we’ve done in the past that worked. Those that fail to learn from the past are doomed to repeat it. If you don’t go back and review your data, you could potentially miss out on huge, easy wins for your business.

As we talked about earlier, Black Friday being pushed back a week has changed the face of the buying season. Many ecommerce companies are in full-blown panic mode right now because their year-over-year revenues are way down from last year.

We suggest that rather than making month-to-month or day-to-day comparisons, look at your data through the lense of days before Black Friday. So, if today was 5 days before Black Friday, you could compare it to 5 days before Black Friday last year. Then you can start to analyze what your marketing efforts looked like on that day last year, what worked, what KPI’s you saw success in, and how those impacted sales on Black Friday.

We recommend focusing on driving traffic to your site, and getting them browsing your products. Then you can leverage retargeting to reach them during your Black Friday sale and focus on driving them to purchase.

What metrics you can use to get a leg up this Black Friday and Cyber Monday

Now, we want to switch gears and talk about what metrics specifically you should analyze and track to make sure that you have the best Black Friday and Cyber Monday possible.

Average Order Value (AOV)-

This one seems basic, and it is, but we see ecommerce companies forget about this frequently during this time of the year.

Most companies focus on their profitability and the discount rates around this time of the year. That should be a top priority, but you also need to make sure that you have your upsell flows, recommended products, and bundles in order to make sure that your AOV doesn’t tank. While you may want to focus on client acquisition, you still need to make sure that these new customers provide value to your business.

This is one of the primary metrics that you should review from last year. Explore what bundles drove higher cart values, what products drove cross-sales, and what upsell flows performed best for your business.

Promo Code effectiveness-

This seems like a no-brainer, and hopefully you already have examined this data. Looking back at what discounts you ran last year and seeing what worked, what failed, and what fizzled will help inform you as to what you should do this year.

In addition to just looking at the surface-level of this metric, we recommend that you deep-dive into when your customers used your different codes, what time of day they purchased, what the AOV was based off discount code, and what was the average discount per code.

Inventory-

Black Friday and Cyber Monday are some of the worst possible times to run out of inventory. Obviously you can’t perfectly predict this year based off last year, but by examining your historical data and comparing that with this year’s demand, you can get a better feel for how much you need to order.

Staffing-

Many ecommerce companies neglect to factor staffing into their costs. During this time of increased demand, lots of businesses need to bring on extra help; but they fail to account for this increased cost in their cost of goods sold.

Not accounting for this can easily turn your sale from an asset to a liability. Typically, as you increase sales, you also increase the amount of customer service tickets that you receive. If you don’t have the bandwidth in place for that you may need to bring on additional support, but they may not get fully trained in time. Additionally, the increased wait time to have issues resolved can cost you sales.

If you don’t have a solid plan in place, issues can sneak up and turn your holiday into a nightmare.

Lifetime Value of Customers (LTV)-

One of the biggest dangers that businesses face during this holiday season is acquiring unprofitable customers. Many businesses run loss-leader deals in order to acquire new customers and think that they’ll make up the loss sometime down the line.

Without tracking the lifetime value of those customers over time, you’re stuck guessing about their profitability. We have dealt with clients who offered discounts in order to acquire new customers, believing that they would make it back over time, only to discover later that they had overestimated the value of those customers. They thought that these new customers drove their profitability, but as it turned out, they dragged down profitability.

In order to maximize the effectiveness of your Black Friday and Cyber Monday marketing efforts, you need to understand what these clients purchase initially, what they come back to purchase, and when they come back to purchase. If you understand those three things, you can tailor your marketing efforts to their natural buying tendencies and dramatically increase your effectiveness.

Going through last year’s data and then looking at this year’s plan and making sure that they align is the key to a successful Black Friday.

How to leverage pre-Black Friday sales to your advantage-

We have found that if you can give your clients a juicy enough discount code, you can entice them to spend their money with you even if they know that they’ll likely get a better discount later. Some of the larger retailers have decided to just launch their official Black Friday deals before the official holiday.

You could also promote your pre-Black Friday sale exclusively to your email list. This provides value to those who have signed up for the list, and could entice others to sign up.

We have also tested the tactic of offering a sale before the holiday by pitching it as a way for the customer to make sure that they got their orders on time. If they took advantage of this sale before the holiday rush, they could get a good deal, and also avoid the hassle of holiday shipping issues.

How real-time reporting can increase your ROI this Black Friday-

Tracking and reviewing your data make up the first two pillars of your data temple. The third pillar is automation.

In today’s world, every system tracks one specific thing, and it refuses to share that information with any other platform. Because nothing communicates, it falls to humans to aggregate and gather all of the data together. It can take days or even weeks for people to pull together the data, get it placed in the right location for analysis, and then take action from it.

Praxis Metrics specializes in automating the process of gathering the data from all of the different systems where it lives, cleaning it so that all of the metrics align properly, and then visualizing it in real-time.

This real-time reporting allows you to adjust and tweak your efforts much faster than if you relied on manual reporting. This decreased time to insights allows you to experiment and improve your marketing much faster, allowing you to drive immediate results, rather than having to wait a full year to improve your strategy.

The goal this Black Friday and Cyber Monday-

The goal of this entire process is to help you have the best Black Friday and Cyber Monday possible. If you have set up your tracking properly, you should know where your best customers come from and what efforts drove those customers to your ecommerce site. These insights will allow you to double down on the things that actually drive results, and cut the things that didn’t work for you. You can reallocate your budget from the things that didn’t drive results to the things that do drive results, allowing you to increase your ROI, and bringing in more money that you can then reinvest into the marketing efforts that are actually working.

How can you assess your data maturity to understand next steps?

We always start with an audit of where you stand. In order to understand your next step, you need to understand where you are.

Even if you have set up your tracking previously, we recommend an audit. As your website grows and you make additions and changes to it, you can easily break your tracking, or miss out on tracking valuable insights.

Praxis Metrics Data Maturity Spectrum

Stage 1-

If you fall into stage one, your entire goal is to gather as much information as possible. You can do this through Google Analytics, UTMs, defining your Key Performance Indicators (KPIs), and above all else, create Standard Operating Procedures (SOPs). If you can standardize your naming conventions for UTMs, SKUs, etc., you can save yourself hours of cleanup down the line.

Stage 2-

If you fall into stage two, your focus is on automation. What compound interest is to your money, automation is to your time. We have had clients cut the number of man-hours required to complete a data project from 10 hours per month to 1. Automation allows you to scale your efficiency and effectiveness across the board.

Stage 3-

The focus of stage three is optimization. Everything before this point deals with historical data. Optimization leverages the wisdom and knowledge gained from the previous stages and applies it to your future endeavors. This allows you to predict outcomes from your actions. This stage is where the magic truly happens. Your efforts yield predictable, exponential results, allowing you to rapidly scale your business.

Stage 4-

Stage four is the buzzword stage. This stage focuses on leveraging AI, machine learning, etc. These technologies allow you to improve your business at scale through incremental adjustments.

In conclusion-

No matter where you fall on the data maturity spectrum, Praxis Metrics is here to help. We offer free data roadmaps and coaching, analytics audits, dashboarding solutions, etc. If you want to learn more about Praxis Metris, visit praxismetrics.com or drop a line here.

How to take advantage of your data as a small business

How to take advantage of your data as a small business

Meaghan was recently interviewed on Lena Elkin’s podcast, Unfiltered.

Check out the full episode below along with our insights on the most important points.

How did Meaghan get her start?

Meaghan grew up in a home that was not entrepreneurial at all. No one in her family had ever gone to college, so she was taught that management was the goal. If you could reach management, you had arrived.

She had her first taste of entrepreneurship in college selling encyclopedias door to door. This experience allowed her to become her own boss and manager her own “company”. This opened her eyes to how her own individual contributions affected her income. Through this experience, she learned the value of being 100% responsible for herself and her outcomes.

After that, she became a sales consultant, but still under an organization. During this time, she met AJ.  AJ is an entrepreneur through and through. He started creating companies at age 10, so he opened her eyes to the possibilities of entrepreneurship.

One of the biggest transitions that she had to make was to shift her mindset from individual contributor to growing a company.

Luckily, her journey with data started much earlier.

Meaghan was the math nerd from an early age. She jokes that she had more math books than friends. Meaghan loved math and numbers because everything had a correct response. Everything was either right or wrong, and it was clear why.

She had planned to become a math teacher, but upon discovering her gift for sales, she decided to focus on hustling while she could and teach later in life.

The sales bottleneck

In all of Meaghan’s sales experience, she relied on her inputs to create outputs. She either knocked doors to get sales, or she cold-called businesses to get sales. Enter AJ.

AJ worked in marketing, and Meaghan wanted to learn more about what that meant. So she shadowed him working on a client. The client had set up a course that he wanted to sell, so AJ set up a sales funnel and landing pages, and then sent out an email to his list. They had 500,000 on that list, so they sat back and waited to see the responses. Within 8 hours, the campaign had cleared $1.2 million.

Upon seeing this, Meaghan knew that she needed to make the jump from sales to marketing. Because of her background in sales, she helped with copy and closing clients. Upon spending some time in the agency, she began to notice patterns in the data.

In her time working in sales, she would split test approaches and different scripts. Over time, she perfected her sales pitch. Upon making the switch to marketing, she realized that they did the exact same thing, just on a larger scale, and with more automation.

The marketing bottleneck

While running the agency with AJ, they had to report back to their clients on the progress of their campaigns. So they had a marketer who had to run reports for clients all day, every day. He wasn’t able to do anything else because they had to get this data to their clients.

So Meaghan started researching ways to automate their reporting. She found the solution in the world of data analytics and business intelligence. She found that many of these programs could automatically do what they had someone doing by hand. The programs could extract the data from all of the different sources, aggregate it, and even display it in an easy to interpret format.

Once they rolled out these reporting solutions to their clients, they naturally wanted more. They wanted more information on their business and wanted that same powerful reporting for everything. Ultimately, everything that Meaghan worked on led her down the path to Praxis.

AJ and Meaghan pivoted their marketing agency into a data analytics agency, and now help business owners and marketers understand their businesses better through data.

How to take advantage of your data

The first thing that you need to do to truly take advantage of your data is set your ego and emotions aside. As Meaghan talked about earlier, numbers allow you to see in black and white. Rather than focusing on how they make you feel, you can use that information to help you grow forward and progress.

ETL

The next thing that you need to do in order to truly take advantage of your data is a process called “ETL”. ETL stands for Extract, Transform, and Load. Essentially, you need to extract raw data from the back ends of your systems, then transform it to make sure that it accurately reflects what you want to measure, and then load it into a business intelligence or visualization tool.

Get help

Lots of solopreneurs and early stage entrepreneurs end up needing to learn sales and marketing in order to get their company off the ground. Learning data as well would likely push anyone over the edge.

That’s a big reason why Praxis shifted down-market. We used to work with larger companies, but we found that they needed answers to the same questions that the little guys did. Everyone wanted to know what worked, what didn’t work, where to spend more money, and where to cut spending in order to better optimize.

The best time to start thinking about integrating a BI or dashboarding tool is after you’ve already hit $250,000 in revenue. For businesses pre-$250,000 it’s best to focus on tracking. Too many businesses wait until they get big in order to worry about their data; but you can’t leverage data that you don’t have. Every business needs to set up tracking, and the earlier you set it up, the better.

Most businesses spend all of their time worrying about their copy and their look and feel, but they neglect their tracking. Google Analytics is one of the most underutilized and error-prone tools on the market.

We see lots of big companies that come to us with very little or no data available to them, looking for answers to their business questions, but they don’t have any data. We have to take them back to the beginning and help them set up their tracking, and then we can help them analyze the data as it comes in.

Data is sexy.

Lots of people view data as something that happened in the past, and therefore not something that can help them in their current situation; however, the true power of data is that it can help you see the patterns in the past, and then predict and shape the future.

As we covered earlier, it’s very important to get started as early as possible with this process. So now we want to cover how you can get started:

UTMs

UTMs are a free tool that every business can and should use for all of their marketing. UTMs allow you to pass information through URLs in order to better track where your traffic comes from. Adding UTMs to your external links allows you to understand how your customers found you and what content they interacted with.

UTMs allow you to see much cleaner, more granular data about the performance of your marketing efforts. This allows you to get better insights, allowing you to decrease waste and double down on what works.

If you want to learn more about UTMs, we have a course that walks through how to build them and gives you tools to help you automate the creation of your UTMs. Here is the link to that course.

If you need help with more of the advanced data issues that they discussed, check out our business intelligence tools and dashboards.

Praxis Metrics- How to set yourself apart with data

How to use your data to set yourself apart

In today’s market, businesses are a dime a dozen. Virtually anyone can start a business from a laptop in a coffee shop. The question is, how do you break through that noise, get in front of your customers and get them to purchase from you?

We’ll cover those questions and more in this podcast episode from the A-Game Advantage.

Don’t work in your business; instead, work on your business

As an entrepreneur, it’s easy to get caught up in all of the things that you need to do. Everyone has a to-do list that could last a lifetime. The problem is that entrepreneurs often get too caught up in their to-do lists.

We often hear from business owners that “someone needs to do it”, so they do it themselves. They often get stuck in the mindset of when they started the business; if they didn’t do it, no one would.

While it’s extremely important to continue to hustle and set an example of hard work, you need to make sure that your time is being utilized effectively. Too many small business leaders don’t make time to leverage their superpowers for the business.

This was the exact problem that our friend AJ Vaden struggled with in her business. She used to spend hours working with her accountant to figure out the commissions for her employees, contractors and affiliates every month.

She knew that she wasn’t properly utilizing her time by looking through reports, exporting information into spreadsheets, and analyzing it; but she felt like if she didn’t, no one would. Every hour she spent on manual reports took her away from her true value in the business, and carried a HUGE opportunity cost.

Unfortunately, many owners, marketers, and managers feel this same way. They force themselves to do redundant tasks like report generation because they NEED the insights from the reports they create. Valuable information lies cross-platform, so they build manual excel sheets in order to pull fragmented pieces of information together so that they can make better business decisions.

How do you escape the cycle?

There are two simple options when it comes to making the switch from working in your business to on your business: automate or delegate.

Both of those options have their pros and cons. Automation tends to cost more in up-front investment, but pays off handsomely over time. Delegation has a lower introductory cost, and can help you find new talent for your business; but you’re still relying on humans to do the work. Humans tend to cost more than machines over time, and they make more errors. So, by now you may be wondering what our friend AJ decided to do.

She decided that in order to scale, they needed to automate out their reporting. She decided that she wanted a long-term solution that would scale with her business. So, we helped them create custom dashboards that automatically calculated commissions, and took care of specific, one-off scenarios that used to take hours to figure out. They went from 10 hours down to one hour of manual work per month; saving them tens of thousands per month in costs.

You can read more about the solution that Praxis Metrics built, and how it impacted their business here: Praxis Metrics Case Study – Brand Builders Group

Don’t discount your data

Big businesses would like for SMBs to believe that somehow they have more knowledge and information than them. While large companies may have more historical data, SMBs now have access to treasure troves of information. Between tags, pixels, and cookies, you can get an unbelievable amount of data on how your customers interact with your brand.

There are several reasons that businesses may struggle with their data:

1- They’re overwhelmed

As we talked about earlier, there is a ton of data out there. It’s hard to determine what is useful information and what is just noise.

If you struggle with this, don’t worry, that’s a common issue to have. We have helped hundreds of companies through this issue with a process called “Metrics Mapping”. Metrics Mapping helps you find the metrics that you need to measure and cut out the vanity metrics.

The process for Metrics Mapping is very simple. Start with your high-level business objectives and goals. From there, determine what questions you need answered in order to hit that goal. In the example below, we want to double our revenue over the next year. We then need to ask, “How do we increase conversions off the site?”.

From there, we need to look for the metrics that will answer this question for us. We decided that the most important numbers for website conversions were conversion rates, customer lifetime value, acquisition costs, and profitability.

Praxis Metrics- Metrics Mapping

By simplifying the metrics that you need to measure down to the bare essentials, you can eliminate a lot of the confusion and fear that accompanies dealing with data analysis.

2- Fear of what the data will tell you

Another thing that can help reduce the stress of dealing with data is viewing it as a story. All data tells a story, but sometimes we don’t want to hear that story. If you never look at your numbers, it’s very easy to deceive yourself into thinking that things are one way, when they’re really very different.

It’s important to be able to step back, remove emotion from the equation, and analyze your data with fresh eyes.

Those who ask the important questions, such as what’s working and what’s not working, are the ones who are able to set themselves apart from the competition.

If you’re not looking at your data, your competitors are

What drove Blockbuster and Barnes and Nobles out of business? Failure to adapt to a changing landscape. Right now the landscape is shifting beneath our feet. Data just surpassed oil as the most valuable commodity in the world, and several high-level acquisitions for data companies have been announced by Google and Salesforce, totaling $18.3 billion dollars.

Your data is extremely valuable, whether or not you choose to use it. Some businesses get lucky and manage to grow their business without leveraging their data; but that’s generally because they have a great product or service and just stumble into success. They succeed in spite of themselves. If they actually leveraged their data, they could be at the top of their respective markets.

The 80/20 rule

80% of your results are driven by 20% of your efforts. Your data can tell you which 20% is driving the results, allowing you to double down on the things that create real value for your business, rather than chasing vanity metrics that do nothing for your business. Businesses that capitalize on this can double or quadruple the results that they see, not because they increase their efforts, and not because the increase their budget; but because they increase their understanding and knowledge.

This divide between the data-driven and the non-data-driven is separating the market drastically. Those capitalizing on their data are quickly becoming the 20% collecting 80% of the revenue.

How to begin taking advantage of  your data

Your output is only as good as your input.

Everything starts with your tracking. If you don’t have accurate tracking in order, then you can’t make good decisions off of your data. The most important place to start is with your revenue metrics. We recommend that companies get their tracking in order for marketing and sales so that they can see an accurate picture of the financial health of their company.

The question you need to be able to answer is “What are you doing in your business right now that is working?”. So you need to start tracking where your conversions come from. Do you convert referrals better than direct traffic, Google ads better than Facebook ads, email better than social?

For most companies, this information is already being collected for you by various software tools. The trick is finding where it’s tracking, making sure that it’s accurate, and then analyzing it for insights.

The mistake that most small businesses make is ignoring their tracking. They either think that they’re too small to worry about it, or they think that it’ll be ok if they just implement it later. The problem with this is that when you finally get to the point where you want to utilize the data, you won’t have any data.

Tracking is the foundation for data.

Even if you’re not ready for “big data”, or even to analyze it, it’s important that you start to track your data. Even if you’re not using it now, a few years down the line, you’ll be very grateful that you gathered that data so that you can glean important insights from it.

What tools should you use?

On the marketing side, you need to have Google Analytics set up on your site. Google Analytics provides answers to some of the most important tracking questions that you can have. The only downside to this tool is that it’s notoriously difficult to set up properly, and it can be difficult to find the data that you’re looking for if you’ve never used it before.

We recommend having an expert help you install and set up your Google Analytics. We offer that service if you are interested.

In addition to Google Analytics, Google Tag Manager is a free tool that will help you manage all of the other tracking codes that you want to apply to your website. From Facebook pixels to LinkedIn advertising, every platform has their own proprietary tracking, and all of that can get messy on the back end of your website. Google Tag manager helps to keep the code that you have to install on your site minimal, and keeps your tracking organized.

On the sales side, you need to have a CRM set up that allows you to track your sales, clients, how they found you, and your sales cycles.

What changes when a business starts really tracking their data?

Growth

When a business starts focusing on their data, they speed up their time to value and their scalability. If there are two businesses that sell the same products, the one that understands what does and doesn’t work for their business will be able to eliminate waste from their organization much faster, and therefore bring in higher returns from every investment that they make.

We have seen companies that were planning to reach $50 million in revenue in 5 years scale that number down to 12 months because they started to double down on the things that work and eliminating the things that didn’t. By understanding their customers and what resonates with them, they were able to rapidly scale their business simply by doubling down on the things that are already yielding results.

We had one client who wanted to know one specific question: what was the lifetime value of their customers. They came to us for help with this question, and we helped them discover that they had greatly underestimated the value of their customers over time. So they decided to increase their allowable cost per acquisition by just $5. This decision helped them increase the number of sales from 15 sales per day to over 300 in less than a month. From there, their numbers kept rising, and now that one funnel brings in more than a million dollars per year in revenue.

Praxis Metrics- Danette May LTV Revenue

This client was able to see that level of transformation off of just one metric, and one simple question.

Relief

So many entrepreneurs come to us at their wits end. They push themselves to the brink trying to grow and scale their business; but once they understand the things that they don’t work, they’re able to stop worrying about that and stop dedicating time to it. This allows them to focus in on the things that provide value to their business, and it rapidly simplifies their lives.

One of the primary goals of this process is eliminating waste. Eliminate the 80% of things that eat up your time and energy, and focus in on the 20% of things that are providing real value to your organization. Doing this helps you reclaim your time, and allows you to increase the value of your output dramatically.

How to use data to stand out to investors

We work with a lot of VC firms who talk about how helpful this data is when analyzing their companies. The data helps them understand the story of the company. Having data helps these investment firms understand the true potential of these companies, and helps them apply the 80/20 rule in the businesses that they invest in. They can focus on the 20% of their companies that produce the highest results for them, and then stop investing in the 80% that underperform.

Having all of your data in order also helps when trying to pitch investors. Many investment firms have teams that they use in order to validate your data, but if you can show them exactly where the data comes from and how it’s validated already, it will put you head and shoulders above your competition.

How to use data to help you in your daily life

Health and fitness are an easy way to start leveraging data in your life. There are an infinite number of metrics that you can use to measure your health: from weight to pant size, the number of reps that you perform at the gym to your cholesterol levels.

One of the more obscure ways to leverage data in your everyday life though is in your relationships. By leveraging data in your relationship, you can start to track where your points of conflicts are, then you can start to drill down into why that conflict is occurring, and finally learn how to prevent it from happening again.

The goal of data is to leverage it into changing human behavior; both in business and in relationships.

If you look at your calendar and your checkbook, you’ll quickly see where your priorities truly lie.

Visit us here to see how you can leverage your data into growth.

Praxis Metrics- Are you getting the most out of your ecommerce data?

Are you getting the most out of your ecommerce analytics?

What can your data do for you?

Your data may be the most valuable asset in your organization. The question that you need to answer is, “Are you getting the value out of it?”

In our guest appearance on the JetRails podcast, we cover everything from what metrics are actually important to growing ecommerce businesses, to how to make sure that you’re prepared against the upcoming data privacy changes. Check out the episode and our insights below:

What does Praxis Metrics do?

Praxis is an outsourced data team. We specialize in helping businesses gather, store, validate, and visualize their data. As data becomes more and more valuable, we help remove the strain of having to extract that value. Our goal is to help you understand your data in a way that makes it actionable, scalable, and valuable.

Many businesses think that they can’t compete with the big businesses with their “big data”, but as with all things, data intelligence has funneled down to the SMB market. This shift allows any business to take control of their data from inception and use it to rapidly scale.

Why did Praxis start?

Prior to starting Praxis, AJ and Meaghan created a digital marketing agency. They quickly found though that reporting on their marketing efforts was taking more time that actually implementing their strategies. Because of this, they began researching automated solutions to the reporting problem. Once they finally created a solution, they found that more people needed that solution than needed marketing help.

They decided to pivot and become an outsourced data agency, and Praxis Metrics was born.

What is the solution they created?

In creating their automated reporting system, Meaghan and AJ found ways to pull in data from all of the platforms and data silos of a business, allowing businesses to see all of their data gathered and aggregated in one place. A “command center” of sorts. This “command center” helps solve many common issues that ecommerce companies regularly face.

Where does the name “Praxis Metrics” come from?

The term “Praxis” comes from Aristotle’s foundational truths. He believed that there were three main constructs of man: Theory- which is thinking about things, Theoria- which takes the information that you thought about in theory and combining them together to create knowledge, and then there is Praxis- which is the practical application of the knowledge and wisdom that you gained by combining your theories and knowledge together.

Praxis Metrics- Data Maturity Scale

The process of Praxis is simple: data leads to information. Information can be turned into knowledge. Knowledge then transitions into wisdom. And taking action from that wisdom is praxis.

Data never solves a company’s problems. Data simply points out facts. You need to interpret those facts and find the driving force. Once you understand the driving forces, you can take action to impact those forces. Your actions are the only thing that will change your business. The practical application (praxis) of your wisdom will help you scale your business; not your data.

The goal of Praxis Metrics is to give businesses data that they can take action from. We want for everyone to leverage their data into action that helps them grow their business.

Every metric should have an action tied to it. Metrics without action tied to them are just vanity metrics.

How can I take strategic action from my data?

We start every client journey with a process called “metrics mapping”. Metrics mapping allows us to figure out what data you actually need to gather in order to reach praxis.

Pictured below is an example of the process of metrics mapping:

Praxis Metrics- Metrics Mapping

Metrics mapping starts with the goals that your business wants to achieve. In this example, this company wanted to double their revenue year over year. Once you have your goals in mind, you need to start asking the questions that will lead you to that goal. In this case, they need to increase conversions on their website in order to reach their goal. The question that they need to answer is, “how?”.

Once we know the questions that we need answers to, we know the metrics that we need to pull. We’ll begin pulling the metrics that help us answer the question: conversion rates, customer LTV, acquisition costs, and profitability.

From there, we need to find the “source of truth” for each of these metrics. The source of truth is the place where we can find the most accurate data. For financial data, this can be your bank account, Stripe, or Paypal. For traffic data, it could be Google Analytics, or the back end of your website. The point of this stage is to find the most accurate data source to pull from.

The rest of the steps would be carried out with the help of the Praxis team as we help you build out your dashboards.

How do I justify spending money on data?

It’s important to remember that data is an investment, not a cost center. Data recently surpassed oil as the most valuable resource on the planet, so any investment that you make into harvesting, leveraging, and improving your data should return massive dividends if implemented properly.

There’s a reason that data is now recognized as “king”. It has the power to create and destroy massive corporations, swing elections, and generate untold wealth for those who leverage it properly. If you know why something happened and your competitor doesn’t, you can pivot and adjust in order to take advantage of their ignorance.

Taking action from data is the new competitive advantage.

Companies that capitalize on data will scale, those who do not will fail. Speaking about the hurricanes, they mentioned that Walmart and Target were receiving huge shipments of Pop-Tarts, as they know that they are a staple during hurricanes.

Many businesses think that big data is reserved for enterprise-level companies; but tools have gotten cheaper, talent has gotten more affordable, and data has become more plentiful. One of the goals of Praxis is to bring those big, enterprise-level insights down to the SMB market and help them see hockey-stick growth.

Before you begin investing in your data though, it’s important that you know where you should invest your money. That is where the data maturity spectrum comes into play.

What is the data maturity spectrum?

The data maturity spectrum helps you identify where you are, and what your current data priorities should be.

The Foundation Stage-

In the foundation stage, everything revolves around tracking. You can’t analyze data if you don’t have data; so you need to make sure that you gather the data that you need in this stage.

Praxis Metrics- Data maturity stage one

Many companies ignore this step until they’re looking to move to the next stage. Unfortunately, by that time they’ve lost out on all of their historical data. We see many businesses come to us that want to build out amazing dashboards, but we discover that they haven’t tracked the data until this point. That means that they have lost out on years of data that could provide crucial context to the data that they gather from here forward.

Too many businesses want to get started, and push to start selling before they set up their tracking; but they need to realize that you cannot retroactively track. Any changes that you make to your tracking only adds data moving forward, and any data that you missed out on previously is lost.

Revenues do not determine your place on the data maturity scale, the only thing that matters on this scale is how well you handle your data.

What are the questions that you will have in the future?

You need to think on what things you may want to know in the future, and start tracking those things today. It may seem tedious right now, but in the future, it may drive your success.

Typically, the cost of marketing far outweighs the cost of taking the time to track these things. Tracking can inform and optimize your marketing budget, allowing greater success than previously imaginable.

What are the metrics and behaviors that allow for rapid scaling?

Automation-

Phase two of the data maturity spectrum is automation. What compound interest is to your money, automation is to your time.

Automation increases efficiency, accuracy, and profitability of organizations. Automation is one of the primary drivers of rapid scaling and growth.

Customer Lifetime Value-

Understanding the lifetime value of your customers is one of the keys to rapidly scaling. The business that can afford to spend more on their customers will win every time. Understanding the value of your customers over time allows you to predict break-even points and therefore allows you to determine higher acceptable acquisition costs than those who base their spend exclusively off initial order value.

Why do averages suck?

By definition, averages pull in all of your data, the highs and the lows, and gives you one number. You don’t want to base your decisions off just one number though. The 80/20 rule applies to almost everything in life, and business is no exception. An average will hide the 80% of things that do nothing for your business behind the 20% of things that actually drive your results. We want to know what falls into the 20% category so that we can eliminate the 80% scale the 20% that works! Averages keep you growing at a steady pace; we want to deliver explosive, hockey-stick growth.

Too many businesses treat all of their customers the same way; whether they came in and spent a dollar, or a thousand. In order to scale though, you need to invest time and effort into your customers in proportion to the value that they bring to your organization.

Once you know where your most valuable customers come from, and how to properly target them, you can essentially print money for your business.

What should ecommerce companies know about their business?

Ecommerce companies should know what technology stacks they use in their business, and how those technologies handle data.

Amazon is a wonderful example of this. In the last couple of months, they have completely changed their terms of service (ToS) to restrict the data that merchants can access. Amazon collects a vast amount of data on the customers that come to your store and purchase, but they will now only allow you to see certain parts of that data. The worst part is that this is not unique to Amazon. Platforms across the web and world are cracking down on the data that they share with third parties. Because of this, you NEED to know how the companies that you work with handle data.

What should you do to protect against data loss?

You need to make sure that you either own the data completely, or that you have a backup of the data stored off of these platforms. In the podcast, we discuss how these platforms are your “frenemy”. They may seem nice, but the relationship can turn on a dime; so you need a backup plan.

As data becomes more and more scarce and consolidated within platforms, the value of that data will increase dramatically. For that reason, it’s imperative that you take ownership over your data and protect it from outside sources that would limit your access to it.

What sort of subscription metrics should ecommerce companies look at?

We see so many companies come to us and ask what their average subscription length is. As we already discussed, averages are evil.

Instead, we build a chart that shows how many cancellations they have per day. If you have an average, it will tell you that your average subscription length is 60 days; this chart will show you that 30% of your cancellations occurred between day 3 and 7, so you can take action during that time period to reduce that churn.

Everyone wants to increase the average, but the average in and of itself doesn’t help with that. You need granular detail in order to actually make an impact.

What are the next steps?

The first step is to start investing in your data. No matter where you fall on the data maturity spectrum, it’s important to start investing time, energy, or money into advancing your data.

If you need help diagnosing where you fall on the data maturity spectrum, or how to get to the next level, we can help you discover where you fall on the data maturity spectrum, and build a custom data roadmap for your business. Schedule a free appointment with a Praxis Metrix data expert.

Praxis Metrics- How to win in the attribution war

How to win in the attribution war

One plus one equals one and a half?

One of the most frustrating aspects of marketing right now is over-attribution when comparing Facebook reports to Google reports.

This occurs when you log into Facebook and it tells you it earned you $100,000 in a period, then Google says it earned you $100,000 in that same period, but you only received $125,000 worth of orders during that same time period.

This, unfortunately, is the new norm in the attribution war. Both Facebook and Google want your advertising money to go to them, so when it comes to tracking and reporting, there are a few things you have to understand:

  • Even though the two platforms integrate with each other, each is entirely separate. They have different goals, definitions, standards, and abilities for tracking.
  • Each platform only owns their own data. That means, when you go into the reporting aspects of Google Ads or Facebook, you will have mathematically biased information. Each platform only sees one variable (their ads) as an impact on your sales. However, there are always multiple variables involved—multi-channel marketing, public relations, organic posts… even the weather and political climate can impact your sales.

So, when you log in and see varying information, they’re not trying to lie, they’re just presenting their side of the story.

Everyone knows that there are three sides to any story. Each person has their version, and then there’s the truth, which is somewhere in the middle. So, when it comes to Facebook and Google reporting, neither is lying, but also neither is showing you the entire picture because they both are inherently biased. Facebook, for example, counts any conversion that has seen an ad on their platform and then converts as a “view-through” conversion; and Google uses last-click attribution by default in their reporting because that favors them.

Then how do I get data that I can trust?

There are two steps to get accurate reporting on your marketing efforts in your systems.

#1: Tracking

Get as much information as possible. Information is simply multiple points of data brought together to allow you to see patterns and gain answers to questions, like:

  • How much overlap do we have in reporting?
  • Are there clients that have been exposed to multiple marketing efforts?
    • If so, are we tying together their customer journey with accurate tracking efforts?
  • What are all the possible impacts on our sales?
    • How have they impacted sales before?
  • Are there correlations?

How are you going to answer these questions to get the insights you desire? You must have the data in order to be able to analyze the data to get insight.

That means, tracking is the first and primary component of accuracy in your reporting:

Are you tracking your client’s journey?

As we discussed earlier, Google uses last-touch attribution to assign credit to conversions. This slants credit towards Google, as by the end of a customer’s journey they tend to be aware of your brand, and therefore more likely to search for your name and click on a search ad or organic search result.

Google Analytics has many attribution models that you can try out to see which one works best for you. From position based (Which assigns 40% of the conversion value to the first and last touch, and then distributes the remaining 20% across all other touch points) to time decay (which assigns credit based off how close to the conversion date it was), it’s important to make a conscious choice of which attribution model you want to use. Each attribution model has its pro’s and con’s, but by staying aware of how the model affects your reporting, you can reduce bias in your reports.

Are you using pixels?

Tracking pixels have exploded in popularity. Many popular advertising platforms now use tracking pixels in order to track conversions and user interactions with the ads. Pixels provide amazing reporting because you can install them almost anywhere, from emails to landing pages, and, as of now, they can’t be disabled by a browser.

Pixels can help you gain greater understanding over how users interact with your advertisements and your website. Providing granular data about user’s behavior based off the platforms that they visit your site from.

Do you have unique identifiers for your clients that allow you to see their customer journey?

Specifically, you need a way to assign a user-id to your clients so that you can track their behaviors across devices. If you don’t have this set up, then when a user changes devices, you will lose all of the data from their initial visit. This can lead to incomplete customer journey’s and skew your attribution data.

Do you have organized UTMs setup?

The very best solution for the attribution problem is to utilize UTMs in all of your marketing efforts. UTMs allow you to tell Google Analytics exactly how you would like to categorize your traffic. Every external link that directs to your site should have UTM parameters appended to them in order to help assign credit to the proper source.  You can even add in campaign data in order to track which of your campaigns drives the best traffic to your site.

UTMs can be one of the most powerful tools available to marketers, or they can be their downfall. UTMs need to be standardized and utilized consistently, or they will make the data even more convoluted and confusing. You need to implement standardized rules for your UTM usage across the organization in order to make sure that your data remains as accurate and clean as possible.

If you don’t already have these things in place, that is your top priority.

By organizing your tracking efforts, you can start gathering the data you will need in the future. If you need help with your tracking, visit the Praxis Metrics – Google Analytics Audit service page to read about how we can help you get your tracking in order.

#2: Reporting

Once you have tracking in place, you can typically manually create Excel reports that give you a much more accurate depiction of your marketing efforts (including lift effects and other variables). However, over time, that becomes tedious and time consuming and allows for too much human error.

The next logical step is to automate via ETL (extracting, transforming, and loading the information from these systems into a singular place) and then to visualize the combined, clean data with a dashboard.

This enables you to eliminate wasted time, effort, and give you insights in a quick and digestible manner. This process can be very intense and require the help of a data scientist.

Fortunately, we specialize in exactly this type of process and can help you revolutionize your data reporting. If you’d like to learn more about how we can help you with ETL and visualization, visit us here.

Bonus #3: Democratize your data

This one may seem out of the blue, but it can change the way that your entire organization interacts with data.

Democratizing data means providing access to data to everyone in your company. Not just information that pertains to their specific corner of the business, but the business as a whole. We have clients who have walls of TVs dedicated to displaying their data for the entire company. Everyone from entry-level employees to C-suite officers has access to the same data.

You may be asking yourself, “How on earth would that help my business?” Everyone has different backgrounds and experience, so when one person looks at a metric they will see one thing and come up with an action item based off their experience; but if you bring in another set of eyes, that person may see something totally different and come to a different conclusion. Democratizing data and making it accessible to more people will lead to greater insights and more options for ways to proceed.

Accountants can be creative, and marketing people can help solve operational issues. Democratizing your data can help you gain a myriad of insights and give you an edge over your competition.

You have tons of data; but data alone will not grow your business. It’s the insights from the data that will inform your team on how to grow. Companies that focus on causation will scale. Those that don’t, will fail.

Praxis Metrics- Biggest Dashboard Mistakes (And how to avoid them)

The biggest mistakes when it comes to dashboards and how to avoid them

Why does everyone seem to be pushing dashboards right now?

Dashboards seem like the new “it” thing right now in business. Everyone seems to want them if they don’t already have them. But what are the benefits to having dashboards, and what are the most common drawbacks?

We answer these questions, and more, in our guest appearance on the Less Doing Podcast with Ari Meisel, featured here:

What is the biggest mistake that people make with dashboards?

The biggest mistake that people make with dashboards is making the assumption that visualizing the data through a dashboard will magically give them insights. Dashboards help you visualize your data, which can help you to understand your data better, but it’s not going to help you track something new. Many people see beautiful dashboards and they assume that it must be a good dashboard, but the underlying data is much more important than how it’s displayed.

What most people are looking for is not just a data visualization tool, but a business intelligence tool. A business intelligence tool allows you to pull all of your data together in one place, and allows you to see the relationships between what may seem like disparate metrics and systems. By utilizing a business intelligence tool, you can gain new insights from your data and decide how to take action from those new insights.

A lot of businesses use their dashboards only to display what we call “vanity metrics”. They can easily find these metrics elsewhere, and they don’t necessarily deliver insights. Businesses need to use their dashboards to visualize the relationships between different data. Sometimes, it doesn’t even have to be visualized… We have lots of clients that just want to see their numbers all aggregated together in one place. The most important thing is that you can take action from the data that you see. These systems need to give you new, unique insights into your data, or they have wasted your money.

What is your plan?

Your dashboards need to give you insights. The question that people ask next is “What do I do with those insights?”. You need to have a plan in place so that you know exactly what will happen when something changes, or you realize something new. At Praxis, we don’t build a metric unless there is an action tied to that metric. The visual part of the dashboard doesn’t actually matter that much, what matters is that the person who is in charge of that metric can understand what is happening with that metric, and what needs to happen.

We have had clients come to us asking for metrics, and once we have built it out, the client then asked “What now?”. They had no idea why they needed to track that metric, or what actions they needed to take off it, they had just heard other people talking about it and wanted to be ‘in the know’.

Before you start tracking something, you need to have a plan in place as to what you hope to accomplish with that metric. You need to know exactly who takes responsibility for that metric, and what action steps you will take based off that metric. Once you have a plan in place, you will actually see value delivered from your dashboards and analytics.

What are the core metrics that almost every business should track?

LTV-

Every business NEEDS to know the lifetime value of their customers. But they need to know more than just the LTV, they need to know what impacts it as well. It’s important for every business to break out their LTV as much as possible and make it as granular as possible. Your LTV can vary based off the first product they purchased, what platform referred them to you, and even what ad they clicked on. The aggregate LTV isn’t enough, you need to know the granular specifics of the things that impact it.

By understanding the specifics of what impacts your LTV, you can fine-tune how you interact with your customers and drive that number higher. The goal of this metric is not to know it, but to drive it higher.

ROAS/ROI-

Most businesses know this number, but they also need to know their acquisition cost by channel. This will allow you to see how each channel performs individually and see which channel is worthy of your ad spend.

In order to unlock the full potential of this metric though, you need to overlay your acquisition costs with your cost of goods sold, and customer lifetime value. When you put these metrics side-by-side, that will give you the formula for your allowable acquisition cost. This formula becomes one of the most powerful assets that a business can have if utilized properly. We have had clients grow more than 3000% once they have these numbers figured out.

Month over month/ year over year revenues-

While most businesses track this, few businesses take the time to analyze the effects of seasonality on their customers. Even fewer businesses look at their revenue by source. One of the best things that you can do as a business is figure out which platforms perform the best during different seasonal shifts. Should you spend more on Instagram advertising during the summer, or the winter? These insights can help businesses rapidly scale, and can make the difference between breaking out into success and dying off.

At what point does a business have enough data to start tracking these things?

Everyone thinks that only enterprise-level companies can leverage ‘big data’, or that they haven’t reached a level of sophistication to need that type of granularity; but in today’s marketplace, everyone has ‘big data’. Our phones alone contain unbelievable amounts of data about us, every website tracks a multitude of variables on their visitors. The main difference between an enterprise level company and a start-up is that the enterprise level company recognizes that they need to capitalize on their data in order to succeed, while many start-ups fail to recognize it’s importance.

Small businesses use, on average, 8 different technology platforms. Each of those platforms has their own way of tracking data and keeps a small portion of your data hidden away within their platform. The trick is to get all of those disparate systems to talk to one another, or at very least pass all of that data in to your dashboard so that you can analyze the relationships between them and gain greater insights.

Honestly, the best time to start tracking is as soon as you begin operating as a business. The next best time is right now. Tracking your data properly can transform your business in ways that you would not believe.

No business suffers from a lack of data, generally they just don’t know what data to focus on, and what will actually make a difference for their business.

How can I maximize the net benefit from tracking and dashboards?

The most important lesson that you can gain here is that your output is only as good as your input. The first thing that you can do in order to maximize your results is make sure that you have standard operating procedures (SOPs) in place. Because of the tedious nature of this work, many businesses overlook it or neglect it; but the best businesses don’t.

Many employees drag their feet when it comes to SOPs, they think that it doesn’t add enough value to be worth their time. One of the best ways to help them get past this thinking is to show them what’s possible when they utilize them vs what they lose by not utilizing them properly.

Lots of businesses ask, whether they should start with their tracking and make sure that they have done a good job with their tracking, or if they should start with dashboards and visualization. Either one works. If you start with visualization, that can help you to see exactly where you need to improve your tracking. If you start with tracking, then when you move on to visualization, you can have confidence in your data, knowing that it’s accurate.

What can companies do to prepare themselves to work with dashboards or data analysis?

Every company should know what questions they want answered before they ever start working with dashboards and data analysis. Go beyond buzzwords and jargon and really figure out what questions you have that you need answers to in order to progress your business. So start with your company’s goals, and then ask yourself what you need to know in order to achieve those goals. From there, you can drill down and begin to look at the metrics and numbers that contain the answers to those questions.

Once you know the numbers that you need to be pulling, you need to validate your data and make sure that everything tracks properly. Most companies struggle with their Google Analytics reporting, and their use of UTMs. If you struggle with either of these, we can help. For Google Analytics issues, we have an Analytics audit that will run through your entire Google Analytics account and pinpoint issues for you. You can find more on that service here: https://praxismetrics.com/google-analytics-audit/

If you’re struggling with the use of UTMs, or have no idea what they even are, we can also help. We have a course that will take you from UTM zero to hero in less than a day. You can find more information on that here: https://praxismetrics.com/utm-foundations-course/

Once you have your tracking in order, and you know what questions you’re answering with that tracking, it’s time to organize your objectives by feasibility and value. We like to map the objectives across quadrants: high feasibility, high value; high feasibility, low value; low feasibility, high value; low feasibility, low value. Obviously, we want to work through these from highest feasibility and value to lowest feasibility and value.

How can we better track and prevent customer churn?

The first thing that you want to track with customer churn is by source. You need to know which of your traffic sources produces the lowest value customers (those with the highest churn), so that you can pinpoint the issue. Do you need to better explain your offerings on that platform, do you need better qualifications on clients that come from that source?

We also want to analyze retention rates over time, and by cohort. This allows us to see trends over time that increased or decreased churn rates. This helps tremendously in measuring the effectiveness of marketing campaigns and the actual impact that they have on your overall business.

For subscription based businesses, most of them already track the days to cancellation; but they primarily track the average. The problem is that averages are inherently evil. Averages tell us a line from a story, but we need to know the entire story in order to truly understand. In order to know truly when you need to act, you need to know a lot more than an average. You need to know the days that people are most likely to cancel, so that you can update your nurturing sequences in order to reach those people before they leave.

How can I be more effective?

Collaboration-

Too many people isolate departments, data, and communication in their organizations. By democratizing data and decision-making processes, you can take full advantage of the expertise of all of the unique people on your team. The more eyes that you can have on a problem, the more unique perspectives you can gain, and the more solutions you can come up with.

Tracking-

In order to progress your business, you need to be able to pinpoint what worked and didn’t work. If you’re not tracking everything you do, it’s infinitely harder to replicate success and eliminate waste.

Automation-

Too many people spend too much time doing menial tasks. We’ve seen executives spending all of their time pulling reports and data together, rather than analyzing it for insights. Automation may have a high up-front investment, but it pays massively over time. It saves companies thousands of dollars in man-hours, plus all of the human error that goes into the reporting.

If you find yourself struggling with any of those issues, we can help!

We have a myriad of resources here on the blog, but if you’d like more help with your tracking and getting that set up, visit Praxis Metrics – Google Analytics Setup to read more.

If you need help with automation or visualization, please visit us here: https://praxismetrics.com/dashboards/ltv-dashboards/

And lastly, if you just want to talk to someone about your needs, drop us a line here: https://praxismetrics.com/talk-to-a-data-expert/

Praxis Metrics- Chatbot KPI's

4 Fantastic KPI’s that you should be using in your chatbot marketing

How do I measure the effectiveness of my chatbot marketing?

We decided to have a “chat” with the king of Facebook marketing, Curt Maly, to get his thoughts.

Curt is a social marketing expert, owner of multiple online marketing businesses, consultant and national speaker joins us today with his vast knowledge of all things marketing data related.

What are the benefits of chatbots?

People generally react faster to the notifications from a Facebook message than to notifications about an email. Not every customer responds positively though, most people tend to the extremes in their feelings towards these messages: they either love them or they hate them.

Another benefit of using chatbots in marketing is that they help to automate out customer service. Chatbots essentially create auto-responders within an AI platform, allowing you to dedicate your time and resources elsewhere.

Chatbots also help decrease the necessity of traditional funnels. You can utilize chatbots to move your clients from one point of the traditional funnel to the next without needing to set up traditional stages. Rather than segmenting people into phases like a traditional funnel, chatbots allow you to just have a conversation with the client and naturally progress them through their journey.

How hard is it to set up chatbots?

Just like funnels, you can make chatbots as simple or as complex as you would like. Creating a basic chatbot requires minimal knowledge, and only needs a few options for auto-response. Essentially you just need to think through a standard conversation that happens on a sales call or customer service call, and input the different variables into the chatbot.

KPI #1- Cost per Acquisition

This is the amount of money that it takes for someone to engage with your message. You can find this information by dividing your ad spend across the total number of new messages that you get. Facebook will try to conflate this data with Cost per Reply, but that will give you an inaccurate picture of your actual cost per acquisition.

KPI #2- Cost per Reply

Facebook will track this metric automatically for you. It’s a very important metric to keep top of mind, because it can help you understand the cost of re-engaging a lead that you fell out of contact with.

KPI #3- Cost per Open

This metric matches up nicely to open rates on email, with one difference: most people see at least an 80% “open rate” on Facebook messages. This happens because if someone browses Facebook on their browser, the message will automatically open, inflating the open rate.

KPI #4- Click Through Rate

Click through rates on Facebook messenger generally align very closely with email click through rates. Most people will see between 6-10% click through rates on Facebook messages. Many people mistakenly claim that they get better click through rates through Facebook messenger. In reality, they are generally getting more leads than from email, due to the increased open rate of Facebook messages.

Praxis Metrics- Data driven marketing

Data-Driven Marketing for the Entrepreneur Who Failed Math Class

Data doesn’t have to be a scary thing.

In this video, we will simplify data, as well as talk about how to use data in your marketing, and how to use it in your life.

Going from a stable job at a power company to starting your own educational company teaching people beer brewing and beer tasting online doesn’t seem like a common career trajectory, but that is exactly what this entrepreneur did. Why? Because the data told him that he could.

What does being data driven mean?

Being data driven begins with knowing the numbers that are important to your business, and knowing what will drive growth in your business. There are only three ways to grow your existing business: you either need to get more customers, get larger order values from those customers, or you sell more things to existing customers. Every action that you take needs to tie back to one of those metrics.

It’s very easy to get lost in the weeds with data, but if you always tie each of the metrics back to those three objectives, then you will always be in good shape.

How can you think about your data to make it more manageable?

Start by asking yourself questions. Don’t start by looking at tools that you think that you might need, start by figuring out what drives your business forward.

One question that every business needs to figure out early on is: how much can I afford to pay to acquire a new customer? Once you figure out the questions like that, the questions that will drive your business forward, then you can start looking for platforms that will allow you to track the information that will drive you to those answers.

Once you have the platforms chosen, you will need to verify the data that they are passing back to you. You will need to determine a platform that you trust and make that the final word on what data you trust; we call this the single source of truth. You need to have one place that has the final say when it comes to important data points for your business: for your money, it can be your stripe account, for your leads, it can be your CRM. Find that one place that you can turn to and trust whatever it says for each of the important KPI’s that impact those key questions.

You will find as you progress in your data journey that there are redundancies in your data tracking, and sometimes the data will not line up between platforms; that is why it is important to figure out for each one of your most important KPI’s what is going to be your final source of truth.

It’s not about how many metrics you have, it’s about having the right ones and then having an action tied to it.

Whenever there is a data anomaly, you need to figure out what happened to cause it. If it was a good anomaly, you want to figure out how you can replicate it; if it was a bad one, you want to figure out how to avoid it in the future.

The key to finding those anomalies is to be in your data, or to have alerts set up so that you are aware when something changes in your business.

You can’t manage what you don’t measure.

Your output is only as good as your input, so if your data is inaccurate or if you are tracking the wrong things, then you may end up making decisions that will impact the success of your business off faulty information.

If you’re not tracking your data properly from the bottom up, you are not going to be able to have the data that you need.

From relationships to health, data is everywhere.

Data surrounds us in every aspect of our lives, it’s like the Matrix. And like the Matrix, once we learn how to see and understand that data, we can do remarkable things with it.

People and data together can do anything.

My name is AJ Yager at PraxisMetrics.com and thank you for investing your time here with me today. Please connect with Praxis on Linkedin and Facebook for more resources to help you scale. We love to help companies like yours grow and achieve their goals faster, so please reach out to me at my email as well if you have any specific questions.

Good luck on your journey!