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Consumer categories get sold here first, in the language buyers repeat back.
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Every one of these stays separately addressable instead of collapsing into one block of text.
A structured read on a market: who is in it, what buyers say, how it is priced, where the gaps are.
For anything bought by a person rather than a company, Instagram is where the positioning gets tested in public — the claim, the before-and-after, the price reveal on slide nine. Ancher collects the recurring claims across unrelated creators, keeps prices seen in slides with the post's date, and states on its face that reach is not demand and that comments were not captured.
The honest version
Sponsored content on this platform is disclosed inconsistently and phrased identically. A claim appearing across a dozen accounts in the same fortnight, in near-identical language, is not consensus arriving — it is a campaign. Counting distinct creators does not catch it. Reading how similar the phrasing is does, and the report flags it rather than reporting a trend.
One post, at slide 9/10, read two ways.Illustrative. The figure is invented; the gap it falls into is not.
Everyone is switching to this and honestly the price is the reason —
On slide 9 of the carousel — not readThe specific never reaches the draft
Lands in the draft, with its timecode
What comes out
A structured read on a market: who is in it, what buyers say, how it is priced, where the gaps are.
The category as creators describe it to buyers, which is usually narrower than the industry's own label.
Recurring claims and complaints in the creators' words, counted by distinct account.
Products named, split by whether a creator used one or listed it.
Prices seen on slides, each with the date of the post.
Complaints recurring across unrelated accounts that no named product answers.
The link on its own gets a summary. This is the instruction that produces the 5 sections above, in that order, with the rules that keep them honest. Paste it with your Instagram posts — in Ancher, or in whatever assistant you already use.
Build market research from these posts. (1) Define the category as creators describe it to buyers. (2) List recurring claims and complaints in their words, counted by distinct account and never weighted by reach. (3) Name every product, marking used or listed. (4) Record prices from slides and burned-in text with post dates. (5) List unanswered gaps. Flag near-identical phrasing across accounts as a possible campaign, and state that reach is not demand and comments were not captured.
The detail, if you want it
| From the Instagram post | Into | Why |
|---|---|---|
| Caption | Demand signals | Captions are written for the algorithm, which makes them a precise record of the words this audience is assumed to search for. |
| Every slide in a carousel | Pricing | The price reveal is a slide near the end, and it appears nowhere in the caption. |
| Frames from the video | Pricing | Prices burned into a reel survive frame sampling and are invisible to everything else. |
| Likes and comment counts | Opportunities | Reach tells you which format the audience responded to, which separates a recognised problem from a well-shot one. |
| Caption | Market definition | How a creator sets up the category before naming a product is the market in a buyer's own vocabulary. |
The caption is where the actual claim lives; the visual is usually the hook.
Carousels are decks in disguise — slide seven is often the one with the substance.
Spoken-over reels carry detail that appears nowhere in the caption.
Text burned into a reel is invisible to a caption scrape but survives frame sampling.
Reach tells you which format the audience actually responded to.
No, and the report states that outright. It gives you the vocabulary buyers hear and repeat, and the price points being shown. Sizing needs a source that knows how many buyers exist, which a feed cannot be.
Imperfectly. Disclosure is inconsistent, so the report flags near-identical phrasing across accounts as a possible campaign rather than claiming to detect sponsorship. That is a signal to check manually, not a verdict.
Rarely. The population here skews consumer, and a B2B read from this source is measuring the wrong people confidently. LinkedIn is the source that carries job titles for exactly this reason.
Everything you save lives in one workspace, so the market research report is built from your sources — not from a model's memory of the internet.
Open Ancher →Not an Instagram post? The same market research report also comes from YouTube video, PDF, X thread.