Financial Marketing Summit Keynote Speech

Data is a lot like teenage sex-

Everyone talks about it, but nobody really knows how to do it. Everyone thinks that everybody else is doing it though, so they pretend that they are doing it too.

– Dan Ariely

 

Now that we have your attention, we can get into the meat of the content. This lecture was initially presented to a group of financial marketers, but it’s applicable to businesses in any sector.

Why do I need to know the lifetime value of my customers?

Lifetime Value (LTV) may be one of the most important metrics that a business can measure. Everything from cash-flow to ad spend relies almost exclusively on this number. If you know the lifetime value of your customers by source, and you know the amount of margin that you need to make off that customer, then finding the maximum acceptable Cost per Acquisition (CPA) is a simple equation. Likewise, with cash-flow calculations. If you know when customers who purchase item A will likely return to purchase item B, then you can forecast your revenues pretty accurately.

Our client Danette May has the perfect example of these pieces coming together. They had a funnel that wasn’t converting to the level that they needed it to, and they were about to cut it. They came to Praxis Metrics to find out what their average LTV was for customers who came through the funnel. We supplied them with that data, and armed with that new information, they found that they could afford to spend more on acquiring those customers than they previously thought.

By increasing their acceptable CPA by just $5, they increased from 15 sales per day to 350 sales per day within two weeks. The trend continued upward to hit 615 units per day off this single funnel. With an average value per order of roughly $97, they now make more than $30,000 per day in sales. Across the year this funnel alone accounts for more than $10,000,000. If you would like to hear more about their story, you can see more of what they have to say here: https://praxismetrics.com/success-stories/danette-may/

How can you get a leg up in your business?

There is more noise and competition for clients than ever before. Anyone with a laptop and an internet connection can now start a business and possibly disrupt entire industries. How do you compete in a landscape like this? Information.

Information is at the heart of most of the problems faced by businesses today. Either you wander around blindly because you have too little information; or you have too much information stored in information silos. These silos may contain valuable insights, but since they don’t communicate with the other systems, you have to rely on humans to extract the valuable information and make it usable.

Taking action from data is the new competitive advantage.

The only difference between a successful online marketer and a failure is that the successful marketer knows why they were successful and can replicate that success.

Data does not solve problems.

Data is never the solution to a problem. Data merely guides you to information. Information leads to knowledge. Knowledge transforms into wisdom, and wisdom when applied to your actions, creates Praxis.

The major dividing line in this system is the transition from knowledge to wisdom. Everything that comes before wisdom is based off past observations, and makes no statements on the future. Wisdom allows you to make predictions about things to come. Praxis requires taking those predictions and then doing something about it to better your life.

Not taking action from data is like owning a race car, but then never putting fuel into it.

Data contains the what. Information tells you the when or the where. Knowledge teaches you how. Wisdom guides you to why. Praxis is the actions that you take based off the data, information, knowledge, and wisdom that you gain.

Where do I begin?

Your outputs are only as good as your inputs.

Therefore, you need to begin by tracking your data. This forms the base of everything that you build later, so you need to make sure that your tracking is in order.

Meaghan and AJ provide a personal example of taking data all the way through Praxis beginning at 19:10 if you are interested in hearing more about that.

The initial phase of your journey is all about getting clean, accurate data. The number one mistake that small to medium businesses make is that they are not using UTM’s in all of their marketing efforts, and they don’t have their Google Analytics set up properly.

What the devil is a UTM, and why does it matter?

You can track your marketing campaigns uniformly across most analytics tools utilizing UTM parameters. UTMs work with Google Analytics and many other tracking tools.

UTM is an abbreviation for “Urchin Tracking Module”. “Urchin” came from one of the very best website analytics tools that used on-page scripts to collect visitor data.

Like a lot of great web software, Google eventually acquired Urchin.

A UTM has five variants of URL parameters used by marketers to track the effectiveness of online marketing campaigns across traffic sources and publishing media. UTMs contain an encoded suffix that you append to a URL (A URL being a website link). The suffix is generally quite long and is made up of various ‘parameters.’

Each parameter provides specific information about the link in question. And by stringing parameters together, you can track your online marketing campaigns with a tremendous amount of detail and granularity.

UTM’s are one of the most powerful tools that you have in your analytics arsenal, but they can also be very daunting to get started with. We have written several blog posts on the subject matter, which can help you understand them much better. You can read more of those here: How to increase revenue with one simple tweak, and here: Why UTM’s are so important, and we even set up a course that will teach you from start to finish how to create UTM’s and even has a spreadsheet that will automatically create them for you here: https://datarich.thinkific.com/

After UTM’s, what’s next?

Once you have control of your UTM parameters, you need to start a process called Metrics Mapping. Metrics Mapping allows you to gain clarity on what metrics you should track, and what those metrics do for your business.

Metrics Mapping starts with your business goals. You need to know where you want to go before you can create a map to get there.

From there, you need to figure out what questions you have to answer in order to accomplish that goal. You could ask questions like, “Where do my sales come from?”, or “How many sales have I averaged over the last 30 days?”.

Once you have the questions that you need to answer, you need to find the metrics that answer those questions for you. You need to hunt down where the most accurate information on the topic lives, and then work to connect all of the most accurate data sources together.

Once we have pulled all of the data together, you have to validate the data to make sure that it is accurate.

After you have all of your accurate data in one place, you can apply formulas and filters to make sure that it’s showing you just what you’re looking for, and then it’s time to plug that data into a data-visualization tool.

OK, I am done with tracking, everything looks good. What now?

Congratulations on making it through the tracking stage! You’re now ready to move into the fun stage: automation.

What compound interest is to your money, automation is to your time.

Automation takes your business to the next level, it allows you to scale your business in ways that most people don’t even imagine. By removing manual reporting and human errors, you not only save your company money, but time. Automation allows you to free up some of the smartest people in your organization to do what they do best rather than fetching data and compiling reports.

The automation stage allows your team to no longer have to look at raw data, but now they can look at actionable KPI’s that they can easily glean insights from. The automation stage rapidly progresses people out of the information and knowledge stages and allows you to begin to focus on the wisdom and Praxis stages exclusively. That is one of the primary reasons that companies who get to this point are able to rapidly scale and expand their business.

Businesses that reach automation can focus on what they do best and let machines do the rest.

That covers the first two steps of data maturity.

The action steps that you need to take in order to get past these stages are:

  1. Start tracking now
  2. Organize your tracking
  3. Map out your most valuable KPI’s
  4. Begin to track those KPI’s
  5. Automate as much as possible.

If you would like to see more of the path of data maturity, be sure to check out our presentation of the entire process of data maturity here: https://praxismetrics.com/blog/data-rich/how-to-scale-in-the-modern-business-landscape/

How to make sure your data is trustworthy

How can I make sure my data is trustworthy?

How much do you trust your data?

When you see information displayed, are you skeptical of it, or do you believe that it is telling you the truth?

Today we wanted to go over why most businesses don’t trust their data, and how to increase your confidence in your data.

Assume nothing

One of the top 5 mistakes that businesses make is assuming that everything is tracking properly. Your output is only as good as your input. If your tracking software isn’t set up properly, then all of the insights that you get from that data are tainted.

Google Analytics is a very powerful, robust tool that helps businesses gain insights into their customers and their behaviors. It is also the number one most underutilized and error-prone tool used by small and medium businesses.

Analytics tools are notoriously difficult to set up properly, and unless you have an expert come in to set it up for you, or you invest the time to truly understand how to set it up properly, it can quickly turn from a bucket full of data to a bucket full of holes. Many businesses know that their tracking is not correct, but they don’t know how to fix it; so they take the incomplete or inaccurate data that they have and they do their best with what they have.

If you take anything away from this, do not assume that everything is set up properly, or tracking properly. Make sure that you have an expert set up and validate as much as possible.

People also make the mistake of assuming that once they have Google Analytics set up properly that they can leave it and it will track everything perfectly. Your business is constantly evolving, and your website also is going through constant tweaks, updates, and changes. You need to make sure that everything that you do is tracked in Google Analytics properly, from your goals to your ecommerce, you need to make sure that any changes that you make are reflected in your tracking.

Set up a Data Dictionary

Another big thing that you can do to help increase your trust in your data is to set up a data dictionary for yourself. A data dictionary is a place where you have a source of truth for all of your systems. This will act as a reference point and a description for where that data is generated (Like a phone book for your data). Having a data dictionary helps you know exactly where all of your numbers come from, and it also helps you keep your naming conventions consistent across the board.

Data dictionaries are awesome, but in order to get the most out of them, you need to keep them constantly updated and make them accessible to everyone. Data works best when it is democratized across an organization, rather than in one person’s head or computer. By democratizing the data, you can gain insights and perspectives from everyone across the organization, helping propel your entire company to be more data driven.

Track your data over time

If you want to increase your trust in your data, you need to track it over time. Tracking your data over time lets you pinpoint what works and what doesn’t work with your measurements and reporting. Having a finger on the pulse of your data lets you know when something seems wrong or out of place. This can protect you from making decisions based off bad data.

Do you have a hard time trusting your data? Would you like to have someone check up on your Google Analytics? We perform a 64 point Google Analytics audit to make sure that everything is set up and tracking properly. Contact us here and we can help you trust in your data again.

How dashboards can double your revenue

Could you be one smart data-driven decision away from doubling or tripling revenue?

How can data visualization help my business?

Most companies have tried out some sort of data visualization or dashboarding solution. And lots of those companies feel like they have not gotten their money’s worth.

In this video, we sat down with Alex Brown to talk about how to: grow your eCommerce revenue now, increase lifetime customer value, and have accurate data you can trust.

As we discussed in the video, we came up with a refined list of KPIs that every eCommerce company SHOULD have insights into, but most don’t.

We built this “command center” that combines your top of funnel marketing efforts with your entire customer purchasing journey, so that you can see patterns and anomalies otherwise unknown to you, like:

Which marketing efforts are yielding the highest 30, 60 or 90 day LTV?
Which affiliates are bringing you customers who come back and purchase again and again?
What funnels are yielding the highest or lowest customer retention rates?

Knowing the accurate LTV of your customers is crucial for exponentially growing your eCommerce business.

Once you know how much you make per customer and how long it takes you to collect that money from each customer, you can adjust your budget to acquire them.

We had a client that grew from 15 leads per day to 350 leads per day using just this one metric. Check out their story here: https://bit.ly/2DpkdKd

Knowing the LTV of your customers allows you to answer a litany of business questions.

This dashboard gives you the EXACT insights into what your customer is worth at 30, 60, and 90-days. In addition to this, it also answers several other business questions you are probably already asking; but aren’t getting instant answers to, such as:

What variables in my business and my marketing efforts yield higher LTVs?
Does customer LTV change when customers based off their traffic source? Does it change based off what product they purchased first?
Are my marketing efforts increasing my LTVs, or making them worse?
What products are people coming back to purchase after their initial sale?
How many customers are repurchasing from us, and when can I expect that revenue?
Am I speeding up my customer’s journey to purchase? Is it somehow slowing down over time?

Who are my best customers? Where did they come from and what are their purchasing behaviors?
How much revenue am I getting from different products?
How’s this month’s revenue compare to the same month last year, or last month?

This is just one of several pre-built dashboards that we have ready for your business. Our platform integrates with thousands of analytics tools to help you get the most out of your data.

Do you want to learn more about this pre-built LTV revenue and subscription dashboard?
Be sure to watch our more in-depth video and apply to see if you qualify for this awesome dashboard then schedule a call with one of our data experts! https://bit.ly/2Zpwx6o

How to scale in the modern business landscape

How to Scale in the Modern Business Landscape

All that it takes to scale your business is the proper data. In the following video and blog post, we’ll take you through how to take advantage of the information that you already have and use it to scale your business, no matter the industry.

 

Data, Information, Knowledge, Wisdom, and Praxis

Let’s simplify and redefine your views and definition of data. Data is simply the path to information. And information is your road map to knowledge, knowledge guides you to wisdom, which ultimately leads you PRAXIS, which is the ACTION you should take based on the knowledge and wisdom you have.

Data is simply events or outcomes, information is when you understand the relationships between those isolated events, knowledge is understanding the patterns- looking at trends over time and correlations in what is and is not working over time, wisdom is understanding the underlying principles and CAUSES, while PRAXIS is the action you take once you have that wisdom.

Data is an event or outcome without any context or true value by itself. Something like: IT IS RAINING. In and of itself, that would not be a revolutionary.

Information, however, is being able to connected multiple pieces of data together to see correlations and relationships: “the temperature dropped 15° and then it started raining”

Knowledge is then understanding the patterns between the variables: “Knowing that when humidity is high and temperature drops, the atmosphere is often not able to hold the pressure and so it rains”

Then wisdom is where we able to stop looking at the past, and we are now able to extrapolate and forecast what WILL happen rather than what HAS ALREADY happened:  “UNDERSTANDING ALL INTERACTIONS BETWEEN EVAPORATION, TEMPERATURE CHANGES, AIR CURRENTS, AND BEING ABLE TO PREDICT RAIN NEXT WEEK”

Lastly, Praxis is the practical application of all this wisdom in order to get positive results: It’s being able to predict that it will rain on your vacation next week, and that you need to pack boots and an umbrella to prepare for your trip.

The ultimate goal and outcome we are looking for is a result of the actions we take based on the wisdom we extrapolated from the raw data.

So here is a quick side note for you:
“Not taking action from data is like owning a race car and never putting fuel in it”
There is a ton of data available to you, but data itself will not grow your business.
Data itself will not give you the results that you want,
The knowledge you gain from data will help guide you and your team to make the best informed decisions on what actions they should and should not take throughout the day.

So let’s simplify this one last time before moving on to your action steps and road map to scaling.

Data is WHAT HAPPENED in your business, information is understanding the relationship between WHAT happened and WHERE and WHEN it happened, knowledge is understanding the patterns that tell you HOW that happened, wisdom is understanding the principles and mechanics of WHY that happened, which leads you to be able to predict when it might happen again in the future, and at each stage in this journey, Praxis is taking ACTION based on the data, information, knowledge and wisdom you’ve gathered.

Becoming Data Rich

By taking those actions, you are getting NEW valuable data. This is the path that the leaders in your industry are taking, this is what helps them grow and scale, it tells them exactly what is and isn’t working, and how to increase their revenues and profits… this is THE PATH ….. To becoming DATA RICH

Now you understand the road map on how to use data to scale. Up to this point in history, BIG DATA was only accessible to enterprise mega giants because collecting data and hiring data scientists for extracting and analyzing data could cost millions in Technology and Human Resources.

However, nowadays millions of rows of DATA can be found in our cell phones, in the back end of our email systems, and tracking on our websites, so raw data is now accessible to any small business owner.

So the question is, how can you take the raw data that is already available to you and use it gain knowledge and insight to scale your revenues and increase your profits?

That’s what we will be covering in the next part of this blog, what ACTIONS TO TAKE, no matter WHERE YOU ARE on the spectrum, to move to the next stage of data maturity.

Becoming Data Mature

So let’s start at the beginning: your outputs are only as good as your inputs. The foundation for growth is first HAVING data.
When small companies come to us and ask us how to scale, they typically do not have a foundation for success.

Data Foundation Stage

Here are some quick questions to ask yourself to see if your company is in the data foundation stage:

Do you have tracking in place at all stages of your customer’s journey? Including a basic Google Analytics set up?
Are you not using advanced tracking like UTMs, Custom Conversions, event tracking or pixels?

Do you know what KPIs your team should be monitoring?
Do you have standard operating procedures that everyone follows for naming conventions in your systems?

Are you or your team members MANUALLY creating excel or google sheets for your reporting because it’s all stored in a bunch of different technologies and is disparate?
Or are you simply logging into each of your systems to look at the native reports?

If you answered YES to most of these questions, then you are in the FOUNDATION stage.

Data maturity stage one

Your main action step in order to become more mature is to focus on TRACKING and MONITORING.

Remember, your outputs are only as good as your inputs, so we need you to HAVE data first. That’s the foundation for you to be able to scale.
In order to progress, you need to:

  • Implement tracking procedures in GA and UTMs
  • Define what metrics are important for you and your team to know
  • Implement SOPs to make sure the data is clean and consistent

Even if you don’t have the resources right now to do anything with this data, you need to start GATHERING it so that later, when you can afford to look back for patterns and hidden areas of opportunity, you have something to review… you can’t RETROACTIVELY pull data if the data wasn’t being tracked… so PLEASE, make sure you do this now… you will thank yourself later.

Automation Stage

Once that foundation of data collection exists, you can move on to the next phase: Automation

You’ll know if you are in this stage if you have all the complex tracking in place, but you or your team is spending a ton of time gathering valuable insights from a bunch of different systems and compiling them together into google sheets or into excel and pivot tables.

Let’s chat about this for a second:

What compound interest is to your money, automation is to your time

It’s exponential leverage to scale
It’s reduction in overhead, it’s focus on what’s important – the ANALYSIS of the information, rather than the collection of data.

Data maturity stage two

To advance higher and to scale, the focus is on integrating your systems together so that they automatically transform the raw data into the insights you need to take action. This allows your team to focus on valuable actions rather than mundane data entry. In technical terms, this is called ETL (automatically extracting, transforming and loading your data into one place).

In addition, setting up this automation lays the foundation for visualized reports or DASHBOARDS. Dashboards allow you to quickly see the highs and lows of your business, and let you quickly see patterns and anomalies of success, as well as those areas of wasted time, money and valuable resources.

Finally, it also allows you to share this information with all the people on your team. You wouldn’t believe the value that democratizing your data can have on your organization… sharing this data allows your team to bring valuable insights to the table and different perspectives that you might not have seen. We call this the LIFT EFFECT.

Optimization Stage

So once you have the foundation of all your data tracking, and after that data has been gathered to one place, and you have automated reporting in dashboards,

THEN you can focus on optimization and analyzing really fun CAUSATIONS between your internal data and EXTERNAL factors…

For those of you who aren’t TOTAL nerds like I am, let’s define this because there is an extremely important principle in statistics that states: CORRELATION does not imply CAUSATION.

As a simple example: Polio rates and Ice Cream sales from 1949. Although they are CORRELATED, that does NOT mean that Ice Cream is the CAUSE of polio. It is very simple to see here, but how many of you make these assumptions in your business when you see trends or relationships like this?

The more data you have, the more accurate picture you can paint among it’s relationships. The more data points you have, the better you can tell which one is most accurate.

You have a ton of INTERNAL data, but there is ALSO a ton of incredible PUBLIC data that you can integrate with in order to gain a more robust understanding of your business, your ideal customers, and their purchasing behaviors.

 

Imagine knowing that when temperatures rise above 75º, your return on ad spend for your Sunscreen company increases by 15%…
or imagine KNOWING that your customers with the highest lifetime values have certain demographics or political affiliations?
Or that you have the best sales when certain economic factors align?

Data maturity stage three

Here at Praxis, we have found:

COMPANIES THAT CAPITALIZE ON CAUSATION
WILL SCALE:

THOSE THAT DON’T
WILL FAIL

Here is a real life example of this in use: Walmart sees a 7x increase in strawberry pop-tart sales when hurricanes are reported off the coast of Florida or Texas. Imagine being a competitive grocery store and not having enough pop-tarts in stock. You would suffer an incredible opportunity cost of potentially millions of dollars.

Can you imagine how many small to mid sized companies are put out of business because they don’t see these patterns? Because they don’t capitalize on these hidden insights that their competitors DO.

What causations are you missing out on in your business?

Mastery Stage

The final stage of data Mastery is for companies that are innovating and modernizing.

At Praxis, we help clients with the most cutting edge resources to help them understand their business better, including natural language processing, machine learning and Artificial Intelligence in order to innovate.

Data maturity stage five

To summarize, here are the recommended steps you can take to advance through each stage on your road to data mastery:

  • Data foundation- Tracking
  • Automation- Integrating
  • Optimization- Analyzing
  • Mastery- Innovating

No matter where your company is currently on this spectrum, these are action steps you should take to move you closer towards information optimization.

That is the definition of PRAXIS – the application of the knowledge you gain from your data.

Taking action from data, is the new competitive advantage. Here is your list of action steps for progressing:

  • Share this with your team
  • Collaborate to see where your business is right now
  • Follow the checklist for how to advance from each stage to the next
  • Assign appropriate team members each action step with a due date
  • Reach out to Praxismetrics.com if you need more information or help.

So, to recap the big rules of scaling:

  • Not taking action from data is like owning a race car and never putting fuel in it.
  • Your outputs are only as good as your inputs.
  • What compound interest is to your money, automation is to your time.
  • Companies that capitalize on causation will scale, those that don’t will fail.
  • Taking action from data, is the new competitive advantage

I’m Meaghan at Praxis Metrics, 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 if you have any specific questions about your unique business.

Good luck on your journey, We are looking forward to helping you scale!

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!

Encompass Health Data

How Encompass Health became data rich

What does data have to do with medicine?

Obviously a lot. Just in practicing medicine, doctors need to examine a multitude of data points; but then they also have to run a business on top of that. Every business has their own set of metrics and KPI’s that they have to track, but compounding that with the difficulty of running a medical practice can be too much. That’s where Encompass Health steps in. They help the doctor’s offload some of the office work so that they can focus on practicing medicine, and we help them in that quest.

How did Encompass Health get involved with Praxis Metrics?

Encompass Health was initially just using Domo for their data visualization, but they wanted to get more training on how to best utilize the program. Seeing as Encompass Health is still a small company, they couldn’t afford to dedicate an employee to learning the platform. Contracting with Praxis allowed them to have an outsourced data team available whenever they need, but at a fraction of the cost of an employee. This also allows them to take control of the platform and learn at their own pace, and then whenever they need help, Praxis can step in to help.

How did Praxis Metrics help?

Praxis helped them with the visualization of their data as well as the ETL (Extract, Transform, Load). The process of ETL is to take data that is formatted, reported, and measured differently in disparate systems and standardizing it so that it can be visualized together.

The team at Encompass knew what they wanted their data to look like, and then the team at Praxis was able to execute on that vision. We set up their data as an executive view, with the option to drill down into specifics. In the healthcare industry, most people focus on the executive level summary. From there, individuals may want to drill down into the details; so we set up their dashboards with that option. The Encompass team could set up the executive view, but the Praxis team also created a drill down path for them as well.

What benefits has Encompass Health seen?

Encompass Health knew that they wanted customization first and foremost. The dashboards that we built allowed them to do just that.

Another benefit was the outsourced data team; as they stated, Austin is a powerhouse of an employee. Austin knows data extremely well, and can create almost anything that the mind can conjure.

Being able to take their data on the go, and view it wherever they need to has also helped them tremendously.

What’s next?

Encompass Health has become data-rich, and now they will help their doctor’s become data rich as well. They plan to start rolling out more advanced features for their clinicians, helping them to make even smarter business decisions.

If you’d like to learn more about the dashboards discussed in this video, visit us here: https://bit.ly/2VYgKZq

Becoming Data-driven

4 vital steps to becoming a data-driven company

Step 1- Remove emotion from the equation.

Your data will always tell you a story; it just sometimes tells a story that you don’t want to hear. Often we find that people stop listening to their data when it gets hard, or right when the details are becoming the most important; but those are the times when you need to listen to the story that it’s telling you even more.

You need to take emotion out of your decision making process if you really want to become a data-driven company. Often the climate of the business has a huge impact on our lives, so it’s often difficult to separate your emotions from the decisions that you make, especially during the hard times. When the times are the toughest are generally when you need to be the most data-driven, and those are the hardest times to take emotion out of the equation; but if you do, it will help you to trust your decision-making process much more.

How do you remove emotion from the equation? The simplest way to remove emotion from the equation is to just let the numbers speak for themselves. No matter how hard things get, they will always get harder if you make the wrong decision.

It’s one thing to make the wrong decision because you went with a knee-jerk reaction; it’s a whole other beast to make the wrong decision because you had bad data. That’s why our next step is:

Step 2- Get your tracking in order.

You can’t make good decisions off of bad data. If your tracking is off, all of the insights that you get from that data are tainted.

One of the top 5 mistakes that businesses make is assuming that everything is tracking properly. Google Analytics is a very powerful, robust tool that helps businesses gain insights into their customers and their behaviors. It is also the number one most underutilized and error-prone tool used by small and medium businesses.

Analytics tools are notoriously difficult to set up properly, and unless you have an expert come in to set it up for you, or you invest the time to truly understand how to set it up properly, it can quickly turn from a bucket full of data to a bucket full of holes.

Many businesses know that their tracking is not correct, but they don’t know how to fix it; so they take the incomplete or inaccurate data that they have and they do their best with what they have.

The end goal of this step is to get you to the point where you have:

  • Organized UTM’s
  • Advanced Pixels
  • Custom Conversions
  • Event Tracking

We’ll go through each of these goals individually:

Organized UTM’s:

UTM’s are one of the most powerful tools that you have in your analytics arsenal, but they can also be very daunting to get started with. That is why we have written several blog posts on the subject matter, which you can find here: How to increase revenue with one simple tweak, Why UTM’s are so important, and we even set up a course that will teach you from start to finish how to create UTM’s and even has a spreadsheet that will automatically create them for you here: https://datarich.thinkific.com/

Advanced Pixels:

Tracking pixels generally have a similar functionalities to cookies. However, as more and more users are blocking cookies using browser functions, cookies provide incomplete data, and are often blocked completely.

Tracking pixels area good alternative to cookies as they cannot be blocked by a normal browser currently. Pixels gather a vast array of user data and pass it along to analytics tools. Some of the most popular advertising platforms use pixels to track user behavior and conversions. In addition to the basic tracking functions, pixels can also track custom events, such as video plays, button clicks, or time spent on a page.

Custom Conversions/ Event Tracking:

As we discussed in advanced pixel tracking, you can track so much more than simply page views and conversions. There is no end to the number of behaviors that you can track on a page. We recommend setting up custom goals, conversions and events within your analytics properties and assigning values to each of these items. While someone may not have purchased through your site, they may have filled out a contact form, or given their email address. If you know the average conversion rate for clients on your email list, and the average order value for them, you can assign a value to each email signup.

It’s just like we always say, your output is only as good as your input. If you can get your tracking in order, you are more than halfway through the journey to become a data driven company.

Step 3- Automate your reporting

Once you have your tracking in order, and you know that you have accurate data; you can move on to the next step: automation

You’ll know you’re ready for this step if you have all the complex tracking in place, but you or your team spends a ton of time gathering valuable insights from different systems and compiling them together into google sheets or into excel and pivot tables.

What compound interest is to your money, automation is to your time.

Businesses that we work with get most excited by this step, because it’s where we begin to focus on scaling the business. Automation leads to a reduction in overhead, increase in productivity, and allows you and your team to focus on the analysis of the information, rather than the collection of data. Automation eliminates the human error component of reporting, further allowing you to have complete confidence in the data that you receive.

To scale your business and progress even more, the focus shifts to integrating your systems together so that they automatically transform the raw data into the insights you need to take action. This allows your team to focus on valuable actions rather than mundane data entry. In technical terms, this is called ETL (automatically extracting, transforming and loading your data into one place). For more information on this process, and how we use it with the companies that we work with, be sure to check out our post on data-driven mistakes even good ecommerce business owners make (and how to avoid them).

Step 4- Democratize the data

The final step that you need to take is to share this information with all the people on your team. You wouldn’t believe the value that democratizing your data can have on your organization. Sharing data allows people to bring their diverse backgrounds and viewpoints to the data to help interpret it.

By allowing your team to access the data, they can bring valuable insights to the table and different perspectives that you might not have seen. We call this the lift effect, and we have seen it happen many times across multiple companies and industries. We recently talked to one of our clients about the value that democratizing data has had for them. Be sure to check out our full interview with Organifi here.

Everyone has their own ideas about what it means to have a data-driven culture. We don’t believe that this list is exhaustive by any stretch of the imagination; but we do believe that if you follow these steps, your business will transform into a data-driven organization. If you follow the steps that we outlined here, we guarantee that you will see a change in your business.

If you have questions on any of these steps, or need help with implementation; we are here to help. We provide comprehensive analytics audits to help see where you may have issues with your data. If you struggle with automation, we have a series of pre-built dashboards that can automate your data for you. If none of those interest you, we can also build out custom dashboards to measure unique metrics for your business.

The importance of knowing the lifetime value of your customers

Data-Driven Conversations: The Importance of Knowing The Lifetime Value of Your Customers

What is the lifetime value of a customer? How does that affect the way that you market your products and scale your business?

These are some of the questions that we had in mind when we went into our conversation with Jeremy Reeves on the Data Rich Podcast. Below is the video of the entire conversation, as well as a transcript of the highlights:

What does it mean to be data driven as it relates to customer LTV?

Being data driven boils down to being aware of the choices that you are making, and making the right choices by utilizing data.

An example of this would be if you are looking to roll out a new product, you need to know exactly how much you can spend to acquire a new customer. If you don’t have data to tell you that information, you are essentially guessing, and that can cause you to be limiting yourself in terms of growth if you’re not paying enough for new customers, or it can be driving you out of business if you’re spending too much to acquire those customers.

If you don’t know the metrics, you don’t know what decisions to make.

How soon in a business should you worry about LTV?

This varies from business to business, but comes down to how quickly you want to scale your business. If you are looking for explosive growth, then LTV is THE metric that you need to worry about. This will help you determine the cost per acquisition that you are willing to pay. In the example above, they realized that if they set their break-even point per customer at 3 months rather than immediate, they were able to pay 30% more per acquisition, which allowed them to jump from making 15 sales per day to making 300-400 sales per day.

By drilling into the numbers and truly understanding the value of their customers over time, their sales were able to increase by 2500%! When you view the true value of a customer over time, you can make decisions like this that help you to experience explosive growth as a company.

How do you maximize returns based off customer LTV?

The best way to maximize your returns is to get extremely granular with your data. Go beyond just looking at the generic LTV of all customers, and see the LTV of customers based off of their referral source, or check to see what other products they purchase after the initial purchase. The more that you can break down the data and individualize your targeting, the more you can glean insights into your consumers, and in turn maximize your returns.

What is the best way to track LTV?

This is the question that you really need to answer for your business. You need to determine how you want to define and track the value of your customers over time. This will be contingent on the systems that you are using, the types of products that you sell, and how you want to think about your products.

Going back to the previous point about getting as granular as possible, you can break down the LTV of your clients based off what their initial purchase was, by referrer,

When should you make changes to your budget based off the LTV calculation?

Unfortunately, just like the last question, this depends on your business. If your company has a long buying cycle, you should probably wait to increase your budget until you see the results from your efforts. If you are able to make back your budget based off the initial purchase, you can increase your budget immediately. By understanding when people are able to hit that break-even point in your business, you can know exactly when you should increase your spend.

How can I set up tracking to make sure that I am getting good data?

You need to make sure that your attributions are set up properly in Google Analytics, so that you can break out customer behavior by traffic source in order to see exactly what your spend should be for each source. Past that, it is highly recommended that you break them out into funnels or campaigns that you are using so that you can properly attribute the LTV to each of the campaigns that you run, as well as the sources.

This requires a great deal of work up front, but once you lay the foundation of good data it is much easier to continue down that path, and you know that you can trust your data.

What is the number one thing that all marketers should know about the LTV of their customers?

The obvious first thing that you need is to know the number. If you are not conscious of the LTV of your customers, you need to find out what that is. After you are aware of the average LTV across the company, you need to get more granular with it, and drill down into the LTV per product.

Once you have those numbers, you need to determine your business goals. If you are in a growth stage of your business, where you are trying to scale, don’t be afraid to break even up front. Be aware of how long it will take for you to start profiting, and make sure that you are comfortable with waiting for that; but once you have determined that, you need to move forward. The business that can afford to spend the most to acquire the customer wins every time.

If you have any questions about dashboards, tracking, analytics, or if you want custom dashboards built for your business then talk to one of our data experts.

Organifi dashboard data team

How Organifi became data rich

Want to see what’s possible when you turn your data into growth?

We sat down with one of our long-time clients, Organifi, to talk about how their business has changed and grown since they became data rich. Below is the full video of our conversation, as well as some of the highlights:

Your output is only as good as your input.

There is a reason that we say this all of the time; as Louie described, Organifi was using dashboards before they became our client, but their dashboards were just linked to spreadsheets. People updated the spreadsheets on a daily basis (or at least they were supposed to), but their dashboard data relied on human input. We automated out their dashboards, eliminating the possibility of human error, and also guaranteeing the most up-to-date information.

This data has helped them to rapidly scale their business.

How has this data changed the way that they do business?

Organifi can now see the lifetime value of their customers broken out by the channel that they come from, or what they purchased when they became customers of Organifi. This allows the team to determine and adjust their ad spends across different platforms, and better determine which products to push. The best part of all of this? They know that their data is accurate. Since we removed the human element of their tracking, they now have complete confidence in their reporting.

The team at Organifi has daily huddles where they can review the key performance indicators for each of their departments. This reporting in front of the whole company allows for greater transparency across the company. This also increases the accountability of each individual department. As Louie describes in the video, this increased accountability has also led to an increase in friendly competition between the departments, creating a “lift-effect” for the company.

Louie also talked about how the democratization of data allows everyone in the company to feel like their efforts make a difference. Everyone from the C-suite to the entry-level employees sees the same data, and can see how every department contributes.

What data is fun to look at?

Louie’s favorite metric to look at is E-commerce spend vs revenue. This is his favorite because it allows him to see their ROAS in a visual way (as he puts it, the big spike with the little one beneath it).

Everyone has a metric that they love to look at, and a reason that they love it. For most, it generally has to do with revenue, since that impacts everyone in the company; but we want to know, do you have a favorite metric, and why?