Important: AdReactiv does not collect, process, or analyze data from Meta or other advertising platforms.
We process only first-party data provided by clients and act solely under client instructions.
Step 1 — Connect first-party data
Clients connect their CRM and website events using API or Google Tag Manager. Typical inputs include CRM records, website interactions, and conversion signals.
Step 2 — Predictive modeling
AdReactiv applies machine-learning models to estimate conversion likelihood, churn risk, and other outcomes based on client-provided data.
Step 3 — Audience aggregation
Model outputs are used to group users into aggregated predictive segments (e.g., “high conversion probability”).
Step 4 — Activation (client-controlled)
At the client’s request, aggregated segments may be uploaded to advertising platforms (such as Meta Ads, Google Ads, etc.) for targeting and optimization. The client remains in control of activation and can stop processing at any time.
Data flow summary
- Client provides first-party data (CRM + website events).
- AdReactiv processes data as a Data Processor, on behalf of the client.
- AdReactiv generates predictive scores and aggregated segments.
- Client decides whether to activate segments in Ads and can terminate processing any time.
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