Audience Intelligence

AI turns survey, interview, and interaction data into audience insights for marketing, sales, and campaign planning.

Business impact

• Interview volume — Tunnl says it conducts several hundred thousand interviews every year, and General Mills’ platform conducts hundreds of interviews overnight.
• Attach rate for value-added services — Verizon reported a 2X improvement in attach rate.
• Win rate — Verizon reported a 15% improvement in win rate.
• Handling time — Verizon reported a 10-20% reduction in handling time.
• Platform users — Tunnl reports more than 450 platform users.
• Active clients — Tunnl reports over 80 active clients.
• Advertising integration partnerships — Tunnl reports 14 direct advertising integration partnerships.

Data requirements

• Survey responses (text) — Used to build predictive audience models.
• Interview transcripts (text) — Collected through AI-moderated research and chatbot interviewing.
• Historical research (text) — Used to ground and train synthetic and predictive models.
• Customer account and contract information (tabular) — Used in the customer-success copilot example.
• Audience variables (tabular) — Tunnl says it holds more than 25,000 variables on each U.S. person.

AI methods and techniques

• Machine learning — Used to turn survey responses into predictive audience models.
• AI-moderated research — Used to run interview workflows that gather consumer insight at scale.
• Chatbot interviewing — Used for always-on interviews in research collection.
• Real-time decisioning — Used to guide customer engagement across digital and assisted interactions.
• Synthetic research — Explored as a conversational way to probe how audiences may respond to messages.

Industries

Real-world evidence

4 documented case studies on record.

Companies using this: General Mills, Schneider Electric, Verizon, Tunnl.