Read the market conversation, act on it before your competitors.
AMi listens to how people talk about your category at scale, joins those themes to the audience data you already have, and surfaces the segment worth activating — with the message angles to test attached.
Reads the room
Themes are read across public conversation at scale, never tied to an individual.
Signal plus data
Conversation themes joined to geography, demographics, behavior, and your first-party data.
Radar, not reports
Emerging opportunities surface as an audience you can activate the same day.
A loop that learns
Every outcome sharpens the next read of the market.
Your market is already telling you what it wants.
People discuss their problems, costs, and comparisons in public every day. AMi reads those conversations at scale to find the questions, complaints, and desires that keep repeating — the shift that shows up long before it shows up in your pipeline.
- Public communities, forums, reviews, and search behavior read in aggregate
- Questions, complaints, desires, objections, and comparisons grouped into themes
- Group sentiment only — individuals are never identified or tracked
Listening at scale
Coming soon“Is it worth replacing yet?”
Cost keeps climbing
Wants it handled fast
“Too expensive right now”
Brand A vs Brand B
Rising cost sensitivity paired with replacement talk
Themes are read across conversations at scale. The people in them are never identified or tracked.
Themes become an audience you can actually reach.
A theme on its own is trivia. AMi joins it to the audience data already in the platform — geography, demographics, behavior, and your own first-party records — to define who is likely feeling it and what would move them.
- Conversation themes matched to real, addressable audience attributes
- Likely objective, motivation, and barrier spelled out for each segment
- Your first-party data layered in and never resold
Signal + what we already know
Coming soonConversation signal
Rising cost sensitivity paired with replacement talk
Available audience data
- Likely objective
- Replace rather than keep repairing
- Motivation
- Predictable cost, less hassle
- Barrier
- Timing and upfront price
- Messaging theme
- Value now vs. cost of waiting
The opportunity, sized and staged, with the next move attached.
Radar surfaces the segment worth acting on now, places it on the awareness ladder from exploring to opportunity, and recommends the audience to activate along with the message angles worth testing.
- Emerging demand flagged with the audience definition and estimated size
- Awareness ladder shows how close the segment is to being ready
- Recommended message angles ready to launch as a campaign
Opportunity Radar
Coming soonDetected
Growing conversation about rising costs and whether to replace or keep repairing.
Awareness ladder
Repeat deep visits, comparison, campaign engagement
Recommended audience
18,400 householdsHouseholds in your market showing category shopping signals
AMi recommends
Activate the replacement audience and test cost-of-waiting messaging against upgrade-benefit messaging.
Every campaign teaches the next one.
Signal becomes audience, audience becomes campaign, campaign becomes engagement and identified people, and outcomes feed straight back into how AMi reads the market next time.
- Outcomes tie back to the conversation theme that started them
- Winning message angles are promoted, weak ones retired
- Feeds the Opportunities Center and Follow-Up Workflows you already use
The intelligence loop
Coming soon- 1
Conversation signals
Themes read at scale
- 2
Audience intelligence
Signal joined to data
- 3
Opportunity Radar
Segment surfaced
- 4
Recommendation
Audience + message angles
- 5
Campaign
Activated across channels
- 6
Engagement
Creative and message tested
- 7
Identified shopper
Resolved to a real record
- 8
Opportunity
Routed with the next action
- 9
Outcome
Won, lost, or still working
Learning feeds back in
Every outcome sharpens the next read of the market — which conversations mattered, which audiences converted, and which message angle actually moved a shopper.