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Product · Audience & Customer Intelligence

Know the people behind the numbers.

An audience is not a cookie pool or another anonymous segment. It is a permissioned base of real people whose interests, participation, feedback and relationship with the business get clearer over time.

Who

Permissioned profile
identity, contact preference, consent state

What they care about

interests, categories, stated preferences, product questions

What they did

missions, streaks, referrals, UGC, reward history, visits

What they might want next

launch interest, pricing feedback, product intent, channel preference

Audience Bank

A relationship view built from permissioned participation.

Keep customer relationships, interests and useful signals together instead of relying on a rented follower list.

FiltersExport
PersonRelationshipInterestSignalsStatus
PPriya M.Customer · testerCustomerLinen3 participationsHigh intent
RRahul K.Repeat customerRepeat customerMenswearUGC contributorHigh intent
MMaya R.Early-access participantEarly accessHome2 reviewsMedium
AArjun S.CreatorCreatorFitness4 contributionsHigh intent
NNeha T.Local visitorLocal visitorFoodTasting RSVPNew

Names and values are synthetic and illustrative.

Audience ≠ retargeting

The value is the growing relationship memory.

Retargeting can help you reach people again inside an ad platform. Marketacer’s audience thesis is broader: understand real customers through permissioned interactions and use that learning to improve content, products, offers and future Activations.

PROFILEIdentity with permission

Know who chose to identify and how they want the relationship to continue.

INTERESTWhat matters to them

Capture declared preferences and interest signals instead of inferring everything from ad targeting.

HISTORYWhat they repeatedly do

See participation patterns, returns, referrals, reward relationships and contribution.

FEEDBACKWhat they tell you

Use polls, surveys, product tests and UGC to learn before the next decision.

INTENTWhat they may want next

Build segments around launch interest, product categories and channel preference where supported.

OUTCOMEWhat happened next

Connect downstream conversion signals where Bridge or commerce integrations are available.

Customer research built into growth

Stop guessing what to build, post or launch.

?

What product next?

Ask current participants what problem they want solved or what category they want next.

Which variant?

Compare colours, sizes, features or concepts before committing the full launch.

What price feels right?

Collect stated pricing feedback as research—not as proof of actual purchase behavior.

What do they think?

Collect feedback, review prompts and UGC with clear rights and moderation.

Who wants early access?

Create a launch-intent segment from real participants.

Who keeps coming back?

Understand repeat participation and relationship depth rather than follower count alone.

Privacy boundary: customer intelligence must remain permissioned, purpose-limited and Workspace-isolated. “Real customer details” means governed first-party profile context—not unrestricted PII collection or cross-client data pooling.
Where this fits

This capability is stronger when it connects to the rest of the loop.

Marketacer product areas are designed to share the customer journey instead of becoming isolated tools. The useful output from one stage becomes context for the next.

CreateActivateUnderstandRewardMeasure
Build with customers, not assumptions

The more useful the relationship becomes, the smarter the next decision can be.

Use customer intelligence to guide content, launches, community and commerce—not to create surveillance profiles.