See how SKUs, claims, and formats show up in culture.
Which product was in frame, whether a rival sat next to it, and which comments map to that SKU. Share of voice that names the product, not only the brand mark.
Product and R&D should not wait on a hashtag dashboard to learn how a SKU behaves in culture. Noodle4 matches pack-shot geometry so Water Bronzer and Cream Bronzer are different records, joins comments to the frame, and ranks formats by intent rather than reach. The 15 million view morning routine is not the same signal as the 10k wear-test.
The SKU in frame
Pack-shot geometry, not a logo crop. Silent ASMR still matches the product.
Comments to that SKU
“This made me look splotchy” maps to the product on screen, not every brand in the haul.
In the product
SKU
Exact product, not just the mark. Feature-matching against your pack-shots.
Claims
Spoken and on-screen claims joined to the same record as the visual.
Formats
Hook, friction, and intent — not a synopsis that buries the 10 percent that matters.
Rivals
Competitors in the same scene, so share of voice can be explained.
Culture, at product level
Rank the format that converts. See the SKU that was actually on screen. Brief the next one from evidence, not a hashtag count.
What it does
Product-level share
Which SKU appeared, how often, and next to whom. Hashtags cannot tell two bronzers apart.
Reactions that name the product
Visual RAG so haul sentiment is not averaged across five brands.
Formats that convert
Reach is not purchase intent. Atomic truths — hook, friction, SKU, claim — for the next brief.
How it works
- 1. Library — Pack-shots and the SKUs you are shipping or testing.
- 2. Scan — Match geometry across category content, including silent clips.
- 3. Join — Claims, speech, and comments to those product records.
- 4. Brief — What to change in the next format, claim, or SKU.
Who it is for
Product
See how the SKU shows up in culture before the next line review.
Insights
Intent and complaints joined to the product in frame, not a sampled thread.
R&D
Claims, formats, and rival presence as evidence, not a vibe from a haul.
Frequently asked questions
How do product and R&D teams use Noodle4?
See how SKUs, claims, and formats show up in culture: which product was in frame, whether a rival sat next to it, and which comments map to that SKU. Share of voice names the product, not only the brand mark.
Is this just logo detection?
No. Feature-matching against your pack-shots. Water Bronzer versus Cream Bronzer, including silent tutorials.
Can comments be joined to a specific SKU in a haul?
Yes. Visual RAG retrieves the timestamp and the product in frame so sentiment is not averaged across every brand in the video.
Does high-reach content mean the format works?
Not by default. A 15 million view morning routine can carry 1% purchase intent. Rank the format that converts, not the one that filled the room.