Skip to main content

Data Collection Best Practices

Let’s face it, figuring out what events to track in Intilery can feel overwhelming. Fortunately, we’ve helped 100s of customers through this process and have amassed a ton of resources to help you get started. Whether you’re a small team just getting your app off the ground, or a highly complex enterprise with 100s of stakeholders, these resources can help!

That being said, be prepared to invest time defining how you want to track data. Any investment in improving data quality will reap massive rewards, and compound over time by allowing your analytics teams to produce better insights, your marketing teams to run better campaigns and so much more.

Data Tracking Philosophy#

Tracking is about learning and taking action. Think about what you want to know about your product or customers. Think about what assumptions need to be tested or invalidated. Think about the unknowns. Here are some helpful questions to get started:

  • What kind of events or data will shed light on the how your customers use your product?
  • How do people discover, start using, and paying for your product?
  • What are the most important steps in a customers journey?

Define Business Objectives#

While it may seem obvious, we highly recommend documenting your high level business objectives. More specifically, what are the measurable business outcomes you want to achieve this year. Are you looking to acquire new customers, activate new signups, drive incremental revenues among your current customer base, etc? Answering this question is best done by interviewing stakeholders who would consume the data in your organization.

With your business goals documented, you now need to map user actions to those business goals. For example, if one of your goals is to activate new signups, you want to think about which activities are related to a signup. Ask yourself, what actions do people take before signing up? Are there specific actions that can predict a user signing up?

As an example, you may end up with a list like the following:

  • Ad Campaign Clicked
  • Link Clicked
  • Article Completed
  • Campaign Opened
  • Form Initiated
  • Form Submitted
  • User Signed Up

While the above represents a small portion of the total user actions you will track, focusing on business objectives helps break up the overwhelmingness of data collection into smaller chunks.

Formalize Your Naming and Collection Standards#

With your business objectives documented, it’s time to build a set of standards that you and your team will use when determining what to track. Our most successful customers limit their tracking plan to a minimal number of core events with rich properties to provide context. While we’ve generally seen more success with the “less is more” philosophy of tracking data, we’ve had plenty of customers take a more liberal “track more and analyze later” approach. Like everything, each alternative has pros and cons that are important to consider especially as it relates to your company’s needs.

Regardless of approach, here are some important notes to keep in mind:

  • Pick a casing convention: We recommend Title Case for event names and snake_case for property names. Make sure you pick a casing standard and enforce it across your events and properties.
  • Pick an event name structure: As you may have noticed from our schemas, we’re big fans of the Object (Blog Post) + Action (Read) framework for event names. Pick a convention and stick to it!
  • Don’t create event names dynamically: Avoid creating events that pull a dynamic value into the event name (ex. User Signed Up (11-01-2019))
  • Don’t create events to track properties: Avoid adding values to event names that could be a property. Instead, add values a property (ex. "blog_post_title":"Best Tracking Plans Ever")
  • Don’t create property keys dynamically: Avoid creating property names like "feature_1":"true","feature_2":"false" as these are ambiguous and very difficult to analyze

Good and Bad

Create a Tracking Plan#

A tracking plan clarifies what events to track, where those events live in the code base, and why those events are necessary from a business perspective. The tracking plan served as a project management tool to align an entire organization around data as the basis on which to make decisions. The tracking plan helps marketers, product managers, engineers, analysts, etc. get on the same page. It represents the single source of truth for what data to collect and why.

The tracking plan has been so instrumental in helping organizations reclaim their own data efforts that we invested years of product development to create Protocols.

In the following, we share how to build a tracking plan from the ground up using a Google Sheet template. Note that you can use any tool to create the tracking plan!

Tracking Plan Google Sheets Template#

To help you get started, we developed a Tracking Plan template in Google Sheets . The template includes all of our semantic schemas including eCommerce, B2B SaaS, Mobile and Video, and a collection of common properties.

We highly recommend you start by defining your business objectives, and have included a template in the Goals tab to guide that process.

With your business goals defined, start by defining how you want to track Page/Screen, Identify and Group events. Most customers use default page tracking and skip over that tab. The identify tab is where you specify which user traits you intend to collect like first_name, last_name, email, etc. Read more about the identify call below.

From there, we recommend you specify Track events in the Track (Custom) tab. Note that we pre-created events with varying numbers of grouped properties (1 Prop Event, 2 Prop Event, etc). While more challenging to manage at first, this structure allows you to use the Minimize Rows button at the top to organize and view all events.

Once completed, the Google Sheet tracking plan can be shared with your stakeholders to either review, comment, edit or simply reference for implementation.

Identify your users#

The .identify() call is important, because it updates all records of the user with a set of traits. But how do you choose which traits to include?

Here is a sample .identify() call (with analytics.js) for Intilery:

analytics.identify({  name: 'Kanye West',  email: '',  login: 'kanyew',  type: 'user',  created: '2016-11-07T16:40:52.238Z',});

The traits represent dimensions in your data that you can group or pivot on. For example, in the above, you can easily create cohorts of all types that are users or accounts created within a time window of your choosing.

Define your Track events#

After you’ve documented your event naming and collection standards it’s time to add events to your tracking plan. We recommend starting with fewer events that are directly tied to one of your business objectives. This focused effort helps avoid a situation where you become overwhelmed by endless number of possible actions to track. As you get more comfortable, you can add more events to your tracking plan that can answer peripheral questions.

At Intilery, we started out tracking these events:

  • User Signed Up
  • Data Collected
  • Asset Created

Then we added some peripheral events to to better understand how we’re performing, for the following reasons:

  • User Added When users invite more people to their organization, it’s a good indicator that they’re engaged and serious about using the product. This helps us measure growth in organizations.
  • Audience Created Creating audiences is a key value driver for our customers.
  • Event Validated When we see that a certain customer has used the live event stream feature a number of times, we can contact them to see if we can help them debug.

For an ecommerce company, however, the main events might be something like:

  • Account Created
  • Product Added
  • Order Completed

Note that Intilery has a set of “reserved” event names specifically for ecommerce, called our ecommerce schema. Check it out to see which events we cover and how they are used in our downstream destinations.

For a community, on the other hand, there is an entirely different set of actions that indicate engagement, listed in the below pyramid. For example, a community like GrowthHackers may want to track actions like:

  • Content Viewed
  • Content Shared
  • Comment Submitted
  • Content Produced
  • Content Curated

With this, they’re able to measure key metrics around engagement and understand how users are moving towards their ultimate conversion event: curation content for others.

Define your Track event properties#

Each .track() call can accept an optional dictionary of properties, which can contain any key-value pair you want. These properties act as dimensions that allow Intilery to group, filter, and analyze the events. They give you additional detail on broader events.

As mentioned earlier, events should be generic and high level, whereas properties are specific and detailed. For example, at Intilery, Business Tier Asset Created is a horrible event name. Instead, we used Asset Created with apropertyofaccount_tierand value ofbusiness` :

analytics.track('Workspace Created', {  account_tier: 'business'})

Similar to the traits in the .identify() call, the properties provide you a column that you can pivot against or filter on in your analytics tools or allow you to create a cohort of users in email tools.

There also shouldn’t be any dynamically generated key’s in the properties dictionary, as each key will create a new column in your downstream tools. Dynamically generated key’s will clutter your tools with tons of data that will make it difficult and confusing to use later.

Here is Intilery'’s Lead Captured .track() call:

analytics.track(userId, 'Lead Captured', {  email: 'email',  location: 'header navbar'  url: ''});

The high level event is Lead Captured and all of the details are tucked into the properties dictionary. In our downstream tools, we’ll be able to easily look at how many leads were captured in different locations on our site.