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How to Report on your Tracker Stats

Here's a quick guide on interpreting and understanding your Tracker stats.

Measure What Matters

We get a little nerdy about platform analytics, but Tracker Stats are especially powerful—they reveal which channels actually drive sales so you know where to double down.

To get started, navigate to Trackers > Stats from your Tradable Bits Homepage.


Understanding Tracker Types

Before reviewing your reports or stats, here is a quick overview of how Trackers work:

  • Landing Trackers: Track multi-channel ROI across your marketing touchpoints using custom shortened links.
  • Sales Pixels / Trackers: Match clicks on your ads, emails, and posts directly to final ticket and merch sales.

How to Set Up Trackers

 

How to report on your stats

Use the various options presented to filter your results.  You can currently filter based on date, the tracker groups, networks that were used or use a specific tracker key. Click "Search" after entering the relevant filters, and if you would like to remove all filters, click "Reset". By default, the system presents stats for the last week across all trackers.

Sales Pixel Stats

  • Overall Pixel Purchases: Number of purchases triggered attributed to Sales Pixels.

  • Overall Purchase Value: Purchase value attributed attributed to Sales Pixels.

Tracker Stats 

  • Trackers Clicked: Total number of trackers clicked.
  • Attributed Entries: Total number of entries attributed to tracker clicks. 
  • Total Tracker Clicks: Total number of tracker clicks. 

  •  Attributed Purchases: Total number of purchases triggered by users who clicked on any of the trackers.

     

  • Attributed Purchase Quantity: Total number of purchases triggered by users who clicked on any of the trackers. 
  • Attributed Purchase Value: Total number of purchases triggered by users who clicked on any of the trackers.

 

Visual Reporting

  • Clicks and/or Attributed Purchases by Date: Compare your clicks and total attributed purchases over time.

  • Clicks—Top 10 Metro Area Breakdown: A breakdown of the locations that triggered the most clicks on the trackers.

  • Purchases—Top 10 Metro Area Breakdown: A breakdown of the locations that triggered the most number of clicks from the trackers. 
  • Device Breakdown: A breakdown of the devices that triggered the most number of purchases from the trackers.
  • Top 10 Click Domain Breakdown: A breakdown of the top 10 domains that recorded the greatest number of clicks. 

  • Click "Load Domain Stats" to produce a table of data displaying the domains that triggered the most number of clicks and purchases.


Tracker Comparison Model

  • Click "Load Tracker Comparison Model" to display a chart comparing how much purchase credit each tracker receives under the selected attribution models.
  • Attribution Models
    • Last Click: 100% credit goes to the final link clicked right before the purchase. Best for identifying which direct call-to-action or promotional link ultimately closed the deal.
    • Linear: Equal credit is split evenly across every link clicked. Best for understanding full multi-touch journeys and giving credit to top-of-funnel discovery links.
    • Time Decay: Graded credit goes to all clicks, but newer clicks get significantly more credit than older ones. Best for longer decision-making campaigns where urgency builds as the deadline or game day approaches.

Tip: Select an attribution model to compare it against another and see how your trackers perform under different metrics.

Tracker Group Breakdown

Shows a detailed breakdown of the performance of each tracker group. 

  • Clicks: Number of clicks generated by the tracker group.

  • Pixel Purchases: Number of purchases triggered by the tracker group.

  • Purchase Value: Amount of sales generated by the tracker group.

  • Purchases Matched: Number of purchases that were specifically matched to fans in the CRM.

     

Best Practices for Reporting

Now that you know about the different filters, it's important to understand the best ways to utilize them.

First, let's look into some common issues that can arise when trying to pull data from tracker stats to analyze.

Common mistakes to watch out for:

  • Overlapping Filters: It is extremely important that when using multiple filters, we are careful that the filters we have selected don't negate each other. If you do have overlapping filters, you may pull a misrepresentative sample; overlapping filters can result in the exclusion of specific data that you may want to analyze. For example, if you have a tracker group for organic social, but you only have one network selected, you will only pull the data from the tracker group that corresponds to that network.

  • Incorrect Date Ranges: When analyzing between different tracker groups, domains, and networks, it can be quite easy to accidentally forget to change the date range. If we think the sample may be wrong, we usually check the date range first.

  • Improper Tracker Set-Up: Another common mistake happens when a tracker is set up incorrectly. For example, let's say a Landing Tracker was set up for all organic Facebook posts. If the "Source Network" wasn't selected when the tracker group was created, then when you filter by the network, this data will not be pulled for analysis.

 

 

Still need assistance? Please reach out to your Customer Success Team or contact support@tradablebits.com