Audience Insight · LatAm
Audience Insight
What do enterprise and scale-up marketers expect in order to understand their audiences better?
Brazil, Mexico, Argentina, Colombia, Chile, Peru. Updated 25 Sep 2026.
Confidence reflects how broadly independent marketers and sources across all regions support a demand.
Short list: few demands in this region have both voice and an external signal yet; see Not ranked and Early signals.
Where each demand sits: emerging to mainstream
Left to right, how far each marketing technology has spread among businesses; higher up, how strongly marketers in this list ask for it.
The chart is wider than this screen and scrolls sideways; it opens on the plotted demands.
Not plotted: early signals
Early signals (tracked, not yet scored): Synthetic research and AI panels (early adopters), AI-moderated qualitative research (early adopters), Agile consumer survey and concept testing (early majority), Voice-of-customer mining (early majority), Audience research platform (early majority), Brand visibility in AI assistants (early majority), Customer research repository (late majority), Competitor audience and switching intelligence (late majority), Converting-audience visibility (late majority), Buyer persona builder (late majority), First-party data unification and customer segmentation (late majority), Social listening (late majority). Maturity still to be measured for: Audience overlap and media consumption, Brand health tracking, Consumer trend research, Path-to-purchase and decision journey research, Reddit and community research, Zero-party data and post-purchase 'why did you buy' surveys.
How to read
Horizontal: how far a marketing technology has spread among businesses, from external research only (independent studies and research run by large brands), never from the score. Innovators = under 2.5% of businesses use it, early adopters 2.5-16%, early majority 16-50%, late majority over 50%; a measured usage rate sits inside its band, a stage without a rate at the band centre. Left of the divide is an early market.
Vertical: Demand Strength score. In demand = scoring above the median of this list (ranked and not ranked demands; the dashed line).
Areas in this list, including demands not plotted: Mature & quiet · Early & quiet · No maturity data yet. The cards use the same area names.
Ranked demands
No demand is ranked in LatAm yet: none has both voice and an external signal here. See Early signals below.
Early signals
Demands marketers are starting to raise in this region. They are tracked from quarter to quarter and are scored once enough independent marketers raise them.
| Demand | Status |
|---|---|
| First-party data unification and customer segmentation Brings the brand's own customer data (orders, CRM, email, ads) into one view and cuts it into segments marketers can brief and target from, without an enterprise CDP. | early signal |
| Brand health tracking Continuous awareness, consideration and preference tracking that a marketing lead can read weekly and act on, not a quarterly scorecard. | early signal |
| Synthetic research and AI panels Lets marketers ask an AI panel that mimics the brand's target segment to pre-test concepts, messages and creative in hours instead of weeks. | early signal |
| Agile consumer survey and concept testing Runs a quantitative consumer survey or concept test with a real panel in 48 hours, self-serve, without an agency. | early signal |
| Zero-party data and post-purchase 'why did you buy' surveys | early signal |
| Competitor audience and switching intelligence | early signal |
| Brand visibility in AI assistants (AEO / LLM visibility) Shows whether ChatGPT, Gemini, Perplexity or Google AI Overviews name the brand when buyers ask, and what they say, before that invisible discovery channel shows up in sales. | early signal |
| Audience research platform | early signal |
| Buyer persona builder Turns customer data and research into usable buyer personas or an ICP that the whole team briefs from. | early signal |
| Social listening Tracks what people say about the brand, its category and competitors across social and forums, and turns it into decisions. | early signal |
| Voice-of-customer mining (reviews, ad comments, support) Reads thousands of reviews, ad comments and support tickets at once to find the words, objections and angles customers actually use. | early signal |
| Reddit and community research | early signal |
| Consumer trend research Spots rising consumer topics, formats and category shifts early enough to plan content and product around them. | early signal |
| Converting-audience visibility (post-automation, post-cookie) Shows who actually converted and who the platform is now reaching, after Advantage+ style automation and cookie loss removed the old audience reports. | early signal |
| Audience overlap and media consumption | early signal |
| AI-moderated qualitative research Runs 50 customer qualitative sessions in a day with an AI moderator and returns themes, instead of six manual calls. | early signal |
| Customer research repository (insight memory) | early signal |
| Path-to-purchase and decision journey research | early signal |