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Suppression and exclusion logic

Validated·Capability·12 recipes composing

Description

The pattern that defines who not to contact, based on conversion state, opt-out, fatigue, recent contact, or campaign-specific exclusions. Distinct from positive targeting because the failure mode is invisible: suppression failures show up as customer complaints, not as data quality issues. Foundational to recipes like post-conversion suppression, re-engagement gating, and consent-aware activation.

Common failure modes

Tools for this pattern

The capability a stack needs to run this pattern, and the vendors that provide it, on Martech Stack Builder.

Recipes composing this pattern

ABM account activation across channels

Medium-high readiness

Activate the target account list with one identity resolution and one exclusion list across paid display, paid social, direct mail, and BDR outreach, so the same account stops getting contradictory treatment

Months·Acquisition·B2B SaaS·None· stack·3 patterns

Audience overlap reduction across paid platforms

Medium-high readiness

Stop bidding against yourself for the same person across Meta, Google, TikTok, and the rest, by maintaining a single live audience exclusion the platforms read

Months·Efficiency·Cross vertical·None· stack·3 patterns

Bid floor management via first-party signal

Medium-high readiness

Push first-party signals (predicted value, churn flag, recent conversion) to ad platforms as bid modifiers so the platforms stop paying premium for impressions that will not convert

Weeks·Efficiency·Cross vertical·None· stack·4 patterns

Cross-channel message deduplication

Medium-low readiness

Stop sending the same offer through email, push, and SMS in the same hour, so the customer experiences one message about one thing rather than three timed competitions for their attention

Weeks·Efficiency·Cross vertical·None· stack·3 patterns

First-party audience activation across paid destinations

Medium-high readiness

Push the segments you own to the ad platforms, as seeds and as targeting, instead of renting the platforms' own decaying interest signals

Months·Acquisition·Cross vertical·None· stack·4 patterns

Frequency capping across channels

Medium-high readiness

Cap contact at the person, not per channel, so the customer stops getting hit five times a day by systems that do not talk to each other

Months·Efficiency·Cross vertical·None· stack·3 patterns

Audience suppression for legal-hold and vulnerable customers

Medium-high readiness

Keep customers in legal hold, dispute, or vulnerability status out of every marketing channel, with the audit trail a regulator will ask for

Months·Governance·Financial services·None· stack·4 patterns

Negative audience exclusion across ad platforms

Medium-low readiness

Push one unified do-not-target list to every paid platform, so spend stops chasing existing customers, recent buyers, and known unfits

Weeks·Acquisition·Cross vertical·None· stack·3 patterns

Post-conversion suppression

Medium-low readiness

Stop showing ads to people who already bought

Weeks·Efficiency·Cross vertical·None· stack·3 patterns

Cross-platform, consent-aware post-conversion suppression

High readiness

Cross-platform suppression with consent propagation

Months·Efficiency·Cross vertical·None· stack·6 patterns

Right-to-be-forgotten propagation

Medium-high readiness

Carry the deletion request from the source system to every downstream destination holding the customer's data, including active campaigns, queued sends, and cleanroom audiences

Months·Governance·Cross vertical·None· stack·4 patterns

Lapsed customer reactivation across email and paid

Medium-low readiness

Orchestrating email-first, paid-second reactivation with consistent suppression

Weeks·Retention·Cross vertical·None· stack·4 patterns

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