Noodle4

What software detects purchase intent in video comments?

“Where can I buy this?” is easy to spot. “Ok I need this” is harder. Detecting purchase intent in comments means reading intent, context and who is speaking. Here is how it works, and how to use it without overstating it.

The short answer.

Software that detects purchase intent in video comments classifies each comment by what the person is trying to do, using the video as context, and by who they are. Noodle4’s comment model classifies intent, and whether the commenter is an advocate, an existing customer or a potential customer, and it can find relevant comments even when they do not name the product.

Last updated 19 October 2026.

By the numbers

Social is where many people look before they buy, and creators drive purchases.

41%
of Gen Z turn to social media first when searching for information (Sprout Social Q2 2025 Pulse)
49%
of consumers make a purchase at least monthly because of influencer content (Sprout Social Influencer Report)
55.5%
of consumers say they bought something because of an influencer endorsement (BBB National Programs, via IMH)

Figures are as reported by each source. Sample sizes and dates are listed under Sources.

What purchase intent looks like

  • Direct. “Where can I buy this?”, “link?”, “price?”
  • Considering. “Does it work on sensitive skin?”, “is it better than X?”
  • Wanting. “Ok I need this.”, “adding to my list”.
  • Ready to switch. “I’m done with my old one, trying this.”
  • Not intent. “Nice video”, or a giveaway entry.

How detection works

Keywords such as “buy” and “link” catch the direct cases and a lot of spam. A model that reads each comment with its video, and what is being shown, can tell “where did you get that top?” from “where did you get that idea?”. Context is what separates intent from chatter.

Who is speaking

The same comment means different things from different people. An existing customer asking where to buy a refill is retention. A potential customer asking the same about a first purchase is acquisition. An advocate recommending it in someone else’s thread is a different asset again. Noodle4 classifies whether a commenter looks like an advocate, an existing customer or a potential customer.

How to use it

  • Find the best videos. Which creator content generates the most buying questions.
  • Answer fast. Reply with a link or answer under the video.
  • Fix the gap. If people ask where to buy, the link or listing is missing.
  • Brief creators. What to show to get the questions that lead to buying.

Its limits

  • Intent is a signal, not a sale. Treat it as a leading indicator.
  • Samples matter. Compare videos with similar reach.
  • Not every platform shows everything. Some comments are hidden or limited.

What Noodle4 includes

Noodle4 is a full social intelligence platform, not only a video tool. It reviews text as well as video and images, and it includes:

  • Text, video and image review. Reads captions, on-screen text, spoken words, images and comments, so the whole piece of content is understood.
  • Taxonomies. Organise content and comments into your own categories, so results match how your team thinks.
  • Visual-level SKU tracking. Spot products and SKUs as they appear in videos and images, not only when they are named in text.
  • Classifications. Every piece of content and every comment is classified by topic, type and relevance.
  • Anomaly detection. Flags unusual spikes and shifts, so you see what is trending before it spreads.
  • Slack and Slack Connect. Reviews, risks and reports go to your team’s channels, and to shared channels with partners.
  • MCP. Ask about your creators, campaigns and social intelligence from Claude, Cursor or any MCP client.
  • API. Send content in and get structured results back from your own systems.

That covers social listening, brand monitoring, influencer screening and monitoring, content review and reporting in one place. It is priced on usage, not seats, from £99 a month.

Sources

Checked 19 October 2026. Figures are quoted as the sources report them, with the survey and sample size where given.

  • Sprout Social: Social media marketing statistics for 2026. Compiles Sprout surveys (Index, Pulse) and third-party figures. The page does not state sample sizes.
  • Influencer Marketing Hub: influencer marketing statistics. A compilation of figures from Linqia 2026 (200+ enterprise marketers), CreatorIQ, the IMH 2026 Benchmark Report, Aspire and BBB National Programs. Most sample sizes are not stated.

How we know this

These notes come from building Noodle4’s review and listening pipelines, not from a published academic sample. Cost curves, intent splits, and ASR collisions are from internal R&D and client-shaped tests. They will not match every category. We include them because the failure mode is structural — not because one campaign is universal.

Alex Gray-Johnson is Co-Founder at noodle4, with 8 years in AI classification models and marketing.

Frequently asked questions

Can it tell a customer from a potential customer?

Noodle4 classifies whether a commenter is an advocate, an existing customer or a potential customer.

Does it find intent without keywords?

Yes. It reads each comment in the context of the video.

Can I get alerts when a video starts driving questions?

Yes, with anomaly detection and Slack alerts.