Part 1 of 4: How Verified Purchase Targeting Drives Measurable Outcomes
By Luca Ledonne, Vice President, Agency and Platform Sales
Marketing has a data problem. Most audiences are built on what consumers might do (what they searched, browsed, watched and looked like), not what they actually did. The data is indirect, inferred and often delayed. Proxy metrics can be useful, but it’s not the same as proof. Every campaign built on it pays a tax: impressions spent on people who were thinking, but not buying. Relevance fades fast. Competition never slows. Guesses don’t cut it.
There is one data metric in the entire marketing stack that doesn’t infer. It confirms. The purchase. And there is one capability that takes that signal and points it forward instead of backward: predictive modeling built on real transactions to identify who is most likely to buy next.
Audiences That Buy is the playbook brands need to activate with precision to drive optimized outcomes.
Why Proxies Underperform
Proxies underperform because they substitute correlation for confirmation. A search query suggests interest. A browse session suggests consideration. A lookalike score suggests similarity to someone who once bought. None of them confirms a purchase.
The industry has spent a decade trying to close that gap with bigger lookalike models, AI-driven targeting, and identity graphs that knit together more behavioral data. Each layer adds sophistication. None changes what’s underneath: they are still inferences about what consumers might do, dressed up with better math.
Why Consumer Purchase Audiences Outperform
Affinity Solutions’ Consumer Purchase Audiences (CPA) are built on verified, permissioned purchase data spanning 95 million U.S. consumers and 150 million U.S. credit and debit cards, representing more than 86 billion transactions.
Rather than reaching consumers based on what they search, watch, or resemble demographically, CPA enables targeting based on what consumers have actually purchased while prioritizing those most likely to convert next.
Our proprietary AI technology, Comet™, analyzes recency, frequency, and spend patterns at scale and applies advanced statistical and machine-learning models to score each consumer’s likelihood of purchasing within a category, brand, or subcategory over the next 12 months.
The result is dynamic, predictive intelligence that adapts to changes in consumer behavior, enabling the identification of high-propensity, in-market buyers in near real time.
CPA can be activated four ways:
- Syndicated audiences: 1,500+ pre-built segments across brands, categories, and lifestyles, available via LiveRamp, The Trade Desk, and all major DSPs.
- Premium seasonal segments: Exclusive to Affinity, built on prior-year seasonal windows, ranked by predictive likelihood to reach buyers when intent is proven, not just probable.
- Custom audiences: Custom-built audiences based on a brand’s specific objectives which may include recent purchasers, frequent buyers, competitive switchers, high-value spenders, lapsed customers, with spend thresholds, frequency criteria, and demographic and geographic overlays applied as needed.
- Propensity Scores: Purchase likelihood scores at the brand, category, and lifestyle levels to power your own audience segments and optimize personalization, decisioning, and targeting strategies.
Five Reasons CPA Sets the Performance Standard
- Deterministic, not modeled. Every segment is built on real, verified transactions — not panels, surveys, app data, or inferred signals.
- Daily refresh. Audiences reflect what consumers are buying now, not last month’s or last quarter’s behavior.
- Privacy-first. 100% permissioned and consented, fully compliant and activation-ready across major platforms.
- Predictive, powered by AI technology. We don’t just identify past buyers. We score the consumers most likely to convert next, turning historical data into future purchase insights.
- Closed-loop measurement. Media exposure can be tied directly to real purchase outcomes to make marketing performance measurable, not just modelable.
The Plays in This Playbook
The rest of this playbook walks through three plays Affinity Solutions has run with brands across categories detailing what each play does, when to run it, what it requires, and what it has delivered.
Each part includes a structured “Run This Play” callout you can lift directly into a brief or planning conversation.
- The Audience Quality Reset (Part 2): Replace intent-based targeting with verified purchasers, ranked by our proprietary predictive modeling for likelihood to convert. Run it when cost per acquisition is climbing on behavioral or keyword channels, and the underlying signal is the bottleneck.
- The Multi-Segment Map (Part 3): Build distinct custom audiences across multiple markets and customer states (Core, At-Risk, High-Potential, Prospects), all from a single deterministic source. Run it when your brief spans multiple segments and markets, and a one-size-fits-all approach falls short.
- The Attention That Converts Play (Part 4): Layer precise Propensity Scores on a category audience to prioritize the highest-likelihood viewers. Run it when video completion rates have plateaued and audience quality is the constraint.
Up next — Part 2: When Proof Beats Proxy
