How does BIGDBM measure campaign impact?

BIGDBM connects ad exposure data back to the identity graph to measure deterministic lift — tracking which individuals were reached, converted, or influenced by a campaign across channels.

What activation channels does BIGDBM support?

BIGDBM supports activation across programmatic DSPs, social platforms, CRM systems, email ESPs, and direct mail through identity-based audience export and real-time API integrations.

Can BIGDBM help with audience suppression and lookalike modeling?

Yes. BIGDBM enables precise suppression of existing customers and creates lookalike segments based on your best converters using the full identity graph as a seed population.

Activation + Measurable Impact

Activate audiences and prove outcomes using identity you can trust—scored, governed, and consistent across channels.

Key Features

Audience Activation Workflows

Create high-quality segments from resolved identity and approved attributes for consistent publishing.

Suppression and Exclusion Rules

Reduce waste by excluding customers, converters, and restricted groups before activation.

Measurement-Ready Identity Layer

Improve attribution, lift studies, and reporting by using consistent entities and deduplicated identity.

Omnichannel Publishing Controls

Deliver to CDP, warehouse, and partners with thresholds and governance applied end-to-end.

What Makes It Different

Activation improves when identity is consistent and confidence is measurable. Scored connections let teams choose the right threshold per workflow—without guessing what quality means.

Publishing and measurement stay aligned because the same identity logic powers audiences and reporting. That reduces inconsistencies across channels and makes performance easier to prove.

How it works

Our proven process for identity-driven activation and measurement

01 Define

02 Build

03 Activate

04 Measure

Set the objective and threshold

Choose the goal—acquisition, retention, win-back, measurement—and set the confidence standard for the workflow.

Create consistent audiences

Build segments from resolved identity so the same person/household is represented consistently across channels.

Publish with controls applied

Send audiences to destinations with suppression, policy rules, and confidence thresholds enforced.

Prove impact with cleaner identity

Evaluate performance with consistent entities and reduced duplication so reporting reflects real outcomes.

Use Cases

1. Prospecting with better match quality

Best for: Media teams Outcome: Improve reach and relevance using a cleaner identity and thresholds.

2. Retention and win-back orchestration

Best for: Lifecycle teams Outcome: Coordinate messaging across channels using a consistent identity.

3. Cross-device frequency management

Best for: Media teams Outcome: Reduce fatigue and improve incremental reach by deduplicating identity.

4. Incrementality and lift measurement

Best for: Partnerships / Data teams Outcome: Share and measure with controls that reduce risk and improve consistency.

5. Partner activation workflows

Best for: Partnerships teams Outcome: Activate and measure with controls that maintain consistency.

6. Vertical-ready campaign execution

Best for: Growth teams Outcome: Apply identity-driven activation across retail, auto, real estate, sports, and financial services.

Results and Impact

Deliver measurable business outcomes with trusted identity data

Schedule meeting

Ad Spend Efficiency

Reduce waste by deduplicating identity and applying suppression and thresholds before publishing.

Conversion Lift

Improve outcomes by targeting and personalizing using higher-confidence identity connections.

CAC Reduction

Lower acquisition costs by improving match quality and limiting wasted exposure.

Reach Quality Lift

Increase usable reach by expanding responsibly while maintaining confidence and governance.