Marketing Analytics

Countif.AI

When your Google Analytics 4 looks like this:

GA4 UTM Tracking Report - gone wrong
That's a lot of revenue from direct traffic, isn't it?

... you might need an out-of-the box solution.

Marketing Campaign Organizer and Tracking Planner

Despite years of innovation in digital marketing, UTMs (urchin tracking module) have survived through all four iterations of Google Analytics. Yet, somehow, these simple tags at the end of URLs are widely misunderstood, and even further misused.

Even if you have a team of social media experts building your campaigns, managing the UTM tagging strategies becomes as elusive as managing content strategy. Similar to content strategy, different assets can be used in different ways, causing inconsistencies across branding. While inconsistent branding confuses the customer, inconsistent tagging confuses the team. So, why not treat UTM tags like content and allow for a universal repository that allows for grouping and ownership? That's why I created Countif.ai.

The UTM campaign manager has 3 main sections.

Current UTM Organizer Model populated with dummy data

Revenue Dashboard for Multi-Touch Attribution

Ultimate goal is to bridge the gap between Market Mix Modeling (MMM) and Multi-touch Attribution (MTA) by connecting website event data with ad spend and revenue. The working prototype utilizes managed data pipelines and templated data transformation workflows, populated and triggered via an intuitive Ul.

Sample Dashboard

The dashboard uses a time-decay attribution to assign revenue, visitors, and impressions to different channels. This shows you not only which channel brought in the revenue, but also which channels lead to that visit. The channel assignment is fully configurable in the Campaign Manager either through the top level UTM parameter, or via tags.

Next Steps

The third and final module connects to budget and revenue datasources via managed data pipelines. This translates the attribution of revenue according to GA4 tracking to channels and validates it with actual transactions that occurred on your platform. Then, it combines it with daily ad spend to get a full picture of your Return on Ad Spend (ROAS) and Customer Acquisition Cost.

All Recent Work