It stands in for the study you'd normally commission.
A focus group, an agency segmentation project, a custom category report, that's the shelf we sit on.
CONSUMER RESEARCH FOR COMMERCE
Verified research into how buyers really decide in your category. Delivered as a datalayer your team asks questions of, not a PDF nobody reopens.
Ask it in plain language, inside the AI assistant your team already uses. Every answer comes back with the customer voices behind it, so you can push back on it instead of taking it on faith. And every segment comes back with a size, so a finding turns into a decision.
What is it
Outfindo delivers consumer research, a study of how people actually decide what to buy in one product category, in one market. It's the same job a research agency does with focus groups, interviews, and surveys: understand the customer, sort them into groups by what they need, find out what's stopping them from buying. We just get there a different way. Instead of recruiting a room of people and asking them, we read what real buyers already wrote in public – product reviews, blogs, forum threads where someone asks strangers which one to get. Thousands of them per category, analysed into one structured picture of the category's decision.
A focus group, an agency segmentation project, a custom category report, that's the shelf we sit on.
Not age brackets or income bands: groups defined by what people are actually trying to achieve. Each one comes with an estimate of its size, so you can tell a niche from a third of the market.
Planning a campaign and choosing which message to lead with. Launching a product and needing to know who it's really for. Opening a new market. Rewriting category pages. You name it.
WHAT YOU CAN DO WITH IT
Pick a tile. Start anywhere. It all runs on the same research.
Buyer types, their goals ranked by strength, the pain points that hit hardest and the situations they buy in. Built from the whole market, not just your customers. Everything else on this list starts here.
We take your web copy, newsletters, and campaigns and hold them up against what buyers are really trying to solve. You see what to cut, what to sharpen, and what’s missing. For every buyer type.
Buyers don’t decide the same way everywhere. We run the check per market, so one campaign doesn’t quietly miss half the countries it runs in.
Copy that answers the first thing a buyer wants to know, not a list of specs ending in “etc.” Plug it into the AI tool you already use: who to write for, what to answer first, which specs must be filled in.
Categories and filters shaped around how people actually choose. “How far from the screen do you sit?” beats 23 screen sizes in centimeters.
A short guide that asks what matters to the buyer and narrows your catalog to what fits. The questions come straight from the research, so they’re the ones buyers already ask themselves.
Give your chatbot or AI assistant the research, and it answers based on what buyers care about and your own product data. Not the generic advice anyone could get anywhere.
Where the research comes from
Structured, verified knowledge about how customers decide to buy, built from what real buyers wrote in public. The method is what turns that discourse into a finding, because the discourse alone is just text.
Customer reviews and personal blogs. The largest and most authentic signal. Discussion forums, expert reviews and trade magazines. Independent text only; no brand material.
We weight what matters and make sure no significant finding quietly drops out. Scores are computed inside each source first and only then aggregated, so one loud website cannot outweigh the rest of the market.
We study how people decide in the category. We never start from brand mentions, and we do not tell you what the market thinks of your logo.
We use no social media feeds. Feeds are algorithmically amplified, skewed toward performance, and structurally unrepresentative. They are excluded on purpose.
With its own sources and its own segments. We read articles and reviews in the language of the market. Where international discussion, usually in English, explains something about that market, we use it and mark it as an outside view, not local evidence.
What you actually get
Custom market research for one product category, in one market. Six connected outputs, read together, not cherry-picked. Consumer insights services usually hand you the evidence and leave the sizing to you. The segment layer is the part that turns a finding into a decision.
Distinct buyer profiles, built bottom-up from the goals each group actually prioritizes. Each one carries an estimated share of the category. This is the only place "how many" lives, and it is what lets you say: this message is relevant to roughly a third of the market, this one to six percent.
What buyers in the category are trying to achieve, grouped bottom-up from the evidence and ranked into priority tiers. This is the „why" layer, built from themes the buyers named themselves.
The evidence layer: what buyers desire, what they expect as a baseline, what causes them pain, and the situations they are actually buying for. Each one ranked within its own type and tied back to the sources it came from.
What is moving in the category – the shifts in how people are deciding, not just what they currently want.
The category lays out the decision criteria end-to-end: what a buyer has to work out, in what order, to arrive at the right product.
What the study stands on: how many independent sources, of which types, in which languages, over what period, and what was deliberately excluded. Read it first. It is what sets your confidence in everything else.
Ask it instead of reading it
The research connects over an MCP server into the AI assistant your team already uses, be it Claude, ChatGPT, or Gemini. You ask in plain language. It answers from the research, with the sources attached.The difference that matters: the layers query each other. "Which segments care most about durability, how big are they, and what exactly did those buyers say?" is one question here. In a folder of PDFs it is an afternoon.
No prompt engineering, no query language, no training week. It's built to answer from the research and to say when the research doesn't cover something, rather than fill the gap.
The connection only reads. Your questions are not visible to Outfindo, and the working files stay on your side.
For the people on the team who don’t work in an LLM, and for anything that has to go into a deck or a board pack.
HOW THE RESEARCH IS BUILT
They already told you. In reviews, forums, and discussions across the internet. We map customer goals, profiles, and decision logic from real consumer discourse, per category, per market. So your next decision runs on evidence, not opinion.
See a real research output
No. And the difference is not who writes the nicer paragraph. Generic LLM answers what the internet broadly thinks about your customer. It did not collect anything, did not define a sample, and did not compute anything; web search does not change that. It produces an estimate that resembles research.
Outfindo Research has a defined sources, a stated method, and a source behind every finding. It can tell you what is strong and what is marginal in your category, because it measured within the sample rather than recalling across the web. And a person signs off before it ships.
Yes. Citations and links sit on every insight, and the source report shows which sources the study used and how they were weighted. If a claim cannot be traced, it is not a claim we make.
We do not, and the honest answer matters here. Segment shares show the relative weight of different needs across the discourse we observed, not a sampled estimate of a population. They are modelled, we label them as estimates everywhere they appear, and the reading rules that ship with the research say so explicitly.
What that gets you is reliable proportion: which needs carry real weight in the category and which are marginal. What it does not get you is a census figure. When a decision genuinely needs one, it needs quantitative collection, and we will tell you that rather than stretch this.
The application is, and that is the part you actually work with. Your questions, your positioning, your gaps, the skills built for your team, your messages tested against it. None of that transfers to anyone else.
The study underneath it is not, and we would rather say that up front. It is built per product category, so a competitor in the same category could buy the same one.
That matters less than it sounds. Nobody owns what buyers wrote in public, and your competitor can read the same reviews you can. The advantage was never in having the facts, it is in acting on them first.
No. Social listening reads social media feeds and starts from brand mentions. We do neither.
Feeds are algorithmically amplified and skewed toward whatever performs, so they are excluded on purpose, not for lack of access.
We start from the category instead. Brand mentions tell you what is said about brands, by the people who happened to mention one. We look at how the category decides, what buyers are trying to achieve and what stops them, including everyone who never names a brand at all.
One-off if you are answering a single question. A launch, a campaign, a positioning decision. Monthly if your team makes these calls continuously, or if you expect to add categories and markets, which is what most clients end up doing.