AUDIENCE INTELLIGENCE
Your customers' own words.
Adscalr searches the places your market talks shop (Reddit, Amazon, the App Store, Google Play and the forums you name) and pulls real quotes, each one tagged by awareness stage, emotion and the exact words people type. Out comes evidence-bound personas, a pain map ranked by how much it hurts, and a full audience report. Copy written in your customer's language, not yours.
How it works
Five sources, each one searched
Reddit, Amazon reviews, the App Store, Google Play and the custom forums you point it at, seeded with your own store URLs and your competitors'. It searches your sources, not the whole internet, so every quote is from someone who lives in your market.
Every quote, thirteen fields deep
A quote isn't just text. Each one is captured with its awareness stage, the emotion behind it, the language register it's written in, and two to four real vocabulary markers: the exact phrases your audience types. That's the raw material your hooks get built from.
Five awareness stages, not four
Every quote is sorted into Unaware, Problem-Aware, Solution-Aware, Product-Aware or Most-Aware: Eugene Schwartz's full ladder. Your copy meets each reader exactly where they sit in the funnel, instead of pitching the most-aware line to someone who doesn't know they have the problem yet.
Personas built from evidence, never invented
Four to six personas per project, each backed by at least three linked quotes you can read for yourself. Demographics are clearly labeled as AI estimates; the pains, desires and language are pulled straight from what real people wrote.
App-store intelligence, mined for angles
Review analysis splits what users love from what they hate, shows the weaknesses you can exploit, and reads competitor screenshots for the claims they lead with, plus the complaints your audience repeats that nobody is answering yet.
A full audience report, written for you
Adscalr's most capable model reads roughly eighty of the strongest quotes and writes a deep report: SWOT, the objections to reframe, the angles with least resistance and charts, delivered as a DOCX you can hand to anyone on the team.
THE DIFFERENTIATOR
Not just what they say, the words they use.
Most audience tools give you a topic: "people care about pricing." Adscalr extracts the vocabulary, the actual phrases your customers type, the register they write in, the emotion underneath. Your hook gets built from their words, so it reads like it came from inside the conversation, not from a marketer looking in.
Language register
Casual, technical, frustrated, aspirational. Each quote is classified by how it's written, so your copy matches the room instead of talking down to it or over its head.
Vocabulary markers
Two to four real phrases per quote: the literal words people use for the problem and the win. Drop them into hooks verbatim and the ad stops sounding like an ad.
Emotion and tone
The feeling behind the words (relief, dread, skepticism, excitement), captured per quote, so you know not just what to say but the register to say it in.
What you get
- 5 voice-of-customer sources, each scraped its own way
- Quotes sorted into 5 awareness stages (Schwartz's full ladder)
- Every quote tagged with emotion, register and real vocabulary markers
- 4–6 evidence-bound personas, each with ≥3 linked quotes
- Demographics clearly labeled as AI estimates
- Emotion captured as one of 8 fixed labels (frustration, anger, hope, resignation…)
- Quotes grouped by theme (pricing, onboarding, feature gaps…)
- App-store love/hate split + exploitable-weakness detection
- Competitor screenshot analysis for leading claims
- Pain map: each problem scored by how often and how relevantly it is raised
- Deep audience report (SWOT, objections, charts) as DOCX
By the numbers
Want this running on your account?
Get in touch →