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When analytics is built on the same data and attribution you control, it stops being a question mark. Validate what’s working, understand why, and act with clarity.
Different teams rely on analytics in different ways. Here’s what consistent, decision-ready data enables for each.
RedTrack analytics are powered by the first-party conversion data and attribution you already configured. That means your numbers reflect what actually happened — not modeled approximations or platform self-reports.
Go beyond surface-level metrics. RedTrack connects cost, conversion, and revenue data across your entire paid media operation — so you can evaluate campaign and channel performance from one consistent view.
Beyond understanding which campaigns and sources perform, RedTrack connects performance back to the creatives that generated it. Using the same attribution and conversion data, you can see which creatives actually lead to conversions — not just impressions or clicks.
For ecommerce and DTC brands, understanding what happens after the first purchase matters as much as understanding what caused it. RedTrack lets you create customer lists, segment behavior, compare groups, and track how value develops across cohorts.
When conversion data is incomplete or fragmented, every report becomes unreliable. And unreliable reports lead to budget misallocation, missed opportunities, and scaling decisions based on guesswork.
Ad platforms, analytics tools, and tracking systems each measure from a different point of view. Without a unified data layer, performance numbers never quite align — and teams spend more time reconciling reports than acting on them.
Each ad platform naturally credits itself. When you rely on their reporting as your source of truth, you’re optimizing based on each platform’s version of success — not your own.
Without connecting creatives to conversions, customer behavior to ad spend, and short-term results to long-term value, decisions stay surface-level. Scaling becomes a risk instead of a strategy.
A closer look at the report categories available inside the platform — each one built on the same first-party data and attribution logic.
Evaluate campaigns, traffic sources, and individual ads using consistent attribution and cost data synced from your ad platforms. Break down results by any combination of source, campaign, geo, device, offer, and more — all from one dataset.
Validating what’s working before scaling or pausing spend.
See how individual creatives contribute to conversion outcomes. Reports connect images, videos, and ad copy to revenue-level results using the same attribution applied across all your campaigns.
Informing creative iteration and production decisions with conversion data.
Build and compare lists of customers by acquisition source, behavior, purchase patterns, or custom criteria. Understand how different buyer groups behave and what distinguishes high-value segments from others.
Ecommerce and DTC brands connecting ad spend to customer-level outcomes.
Track how groups of customers acquired in the same period develop over time. Compare lifetime value trends, repeat purchase rates, and long-term revenue contribution across cohorts and segments.
Deciding which acquisition channels and campaigns deliver lasting profitability.
View the full sequence of touchpoints leading to each conversion at the granularity you choose, using the attribution model you select. Conversion path reports don’t redefine your baseline numbers — they help you explore and explain them.
Understanding why your numbers look the way they do and validating assumptions.
