Services

Audience intelligence services for teams building with AI.

Wick helps teams decide what audience intelligence to build, generate the data behind it, and connect trusted knowledge to the AI systems where work happens.

Talk to Wick Explore AI-Native Research

Operating model

Start with the audience asset that proves value fastest.

Services are organized around practical outcomes: clarify the audience data you already have, generate better audience data when the source is missing, and activate trusted intelligence inside AI tools and workflows.

What we provide

Three services, each with a clear output.

01Audience Data Strategy

Know what audience intelligence to build.

Inventory your sources, find the gaps, and choose the first high-value assets.

For teams with scattered research, CRM records, vendor data, campaign files, or historical reports that need a practical path to AI-ready intelligence.

InventoryAudience source map
QualityGaps, risks, and readiness review
PrioritiesUse-case and opportunity ranking
RoadmapFoundry / Workshop implementation plan

02AI-Native Research

Create the audience data you are missing.

Design research and acquired-source plans that produce structured, model-ready data from the start.

For teams that need new audience knowledge: surveys, market research, sourced panels, acquired data, control trials, or measurement systems that can feed models and AI workflows.

DesignSurvey, panel, or study plan
SourceAudience acquisition strategy
MeasureControl, lift, and validation framework
PackageAI-ready research dataset

03Intelligence Activation

Put audience intelligence into AI work.

Connect governed audience knowledge to agents, reports, workflows, and decision systems.

For teams ready to use Foundry assets, Workshop outputs, and Agent Dossiers inside the tools where strategy, analysis, and execution happen.

Use casesActivation priority map
ConnectGateway, tool, and workflow plan
BuildAgent, report, or decision workflow
EnableLaunch support and operating cadence

Engagement model

A practical path from assessment to operating system.

Assess

Map the terrain.

Sources, goals, gaps, workflows, and opportunities.

Design

Define the plan.

Data, research, measurement, and activation priorities.

Build

Create the assets.

Data Foundry outputs, Agent Workbooks, Agent Dossiers, reports, workflows, and agents.

Optimize

Improve the system.

New data, new use cases, better measurement, and operating cadence.

Build the audience intelligence layer your AI systems need.

Bring Wick into your data, research, and activation workflows to turn audience knowledge into reusable intelligence.

Talk to Wick