Stop retargeting on a noisy pixel guess. Zappush builds audiences from your own reconciled, deduplicated first-party events: cart-no-purchase, top-LTV VIPs, churn risks, recent buyers to suppress. It syncs them to Meta, Google, TikTok, and LinkedIn as live, hashed, consent-aware membership, so platforms retarget, suppress, and model on clean seeds.
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Sam Okafor
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Native audiences are built from the pixel, and the pixel only sees a fraction of what happens. Safari's ITP caps client-set cookies at 7 days, so browser-based membership decays before your retargeting window even opens. The pixel also typically misses 30-40% of conversions after iOS 14.5 and ad-blocker attrition, so your 'cart abandoner' and 'purchaser' lists include people who actually bought and miss people who actually abandoned. You cannot segment on order value, LTV, lifecycle stage, or offline events the pixel never saw. So you keep paying to retarget recent converters (15-30% of retargeting budget wasted), model lookalikes on a polluted seed, and let value-based bidding optimize toward cheap low-LTV buyers.
Build cohorts from reconciled server-side events and unified customer profiles: cart-no-purchase in the last 24 hours, top-20%-by-order-value VIPs, 90-day-inactive churn risks, disqualified leads, recent purchasers to suppress. Rules can reference order value, LTV, lifecycle stage, category, and offline/CRM fields the pixel never sees.
Zappush SHA-256 hashes email, phone, and name identifiers, normalizes them to each platform's spec, and pushes membership to Meta Custom Audiences, Google Customer Match / Data Manager, TikTok, and LinkedIn from one audience definition. Updates ship as live event-level adds and removals, not weekly CSV re-uploads.
Zappush removes members who age out or convert within minutes, and adds new qualifiers the moment they cross the threshold. Recent buyers flow into suppression audiences across every platform. High-LTV cohorts become clean, value-tagged lookalike seeds sized into Meta's documented 1,000-50,000 sweet spot, kept fresh 24/7.
Compose audiences from reconciled first-party events and profile traits: cart-no-purchase, browse-no-cart, repeat buyers, high-AOV VIPs, category purchasers, lapsed/churn-risk cohorts. Rules can use order value, LTV, lifecycle stage, and offline/CRM fields.
Zappush pushes recent purchasers, existing customers, and disqualified leads to Meta, Google, TikTok, and LinkedIn as exclusion audiences. A reconciled purchase removes them from retargeting within minutes, reclaiming spend wasted on people who already converted.
Attach per-member order value or predicted LTV so platforms build value-based lookalikes off your best customers. Percentile seeds (top-X% by LTV) keep the seed clean and sized in Meta's 1,000-50,000 sweet spot instead of a bloated 'all customers' dump.
Zappush hashes and normalizes email, phone, and name server-side for every destination. That lifts match rates and Event Match Quality, so platforms receive dense, matchable audiences instead of sparse pixel fragments.
Audiences auto-add qualifiers and auto-remove aged-out or converted members on a per-event basis. No manual exports, no scheduled CSV uploads, no stale lists decaying inside the platform.
SPEND RECOVERY
Retargeting keeps serving people who already bought, and 15-30% of the budget goes with them. A reconciled purchase removes that member from Meta, Google, TikTok, and LinkedIn audiences within minutes, not at the next weekly upload. Recent buyers move into suppression lists across every platform at once.
LIFECYCLE ADS
CSV lists are stale the day they land, and pixel-built membership decays under ITP's 7-day cookie cap. Audience rules run against reconciled server-side events instead, adding qualifiers and dropping aged-out members on a per-event basis. One definition pushes hashed identifiers to every destination.
VALUE SEEDS
Order value, LTV, lifecycle stage, and offline or CRM revenue never reach a browser pixel, so native audiences cannot segment on them. Cart-no-purchase in the last 24 hours or top-20%-by-order-value cohorts are built from unified profiles and hashed server-side. Platforms receive dense, matchable lists instead of sparse fragments.
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From $59/month · 14-day free trial · Cancel anytime
