Review Pulse

Voice of customer → roadmap

Stop triaging reviews by hand.
Start shipping what customers demand.

Product and VoC teams read hundreds of App Store, G2 and support reviews to find feature requests — then summarize them by gut. Review Pulse clusters that corpus into quantified roadmap themes: volume, trend, sentiment, representative quotes, and a bug-vs-request split you can defend in planning.

Run the analyzer — free, no signup

Live App Store data via Apple’s public reviews feed, or bring your own CSV. Sample data is always labelled.

The problem, in practitioners’ own words

Review triage collapses at volume — and it’s somebody’s full-time job.

“Analyzing customer feedback feels impossible… spending hours reading everything didn’t help.”

— customer-success practitioner, public forum

“Tried 3 feedback tools, still ended up building [it] myself.”

— product manager, public forum

“Manual tagging breaks at volume.”

— customer-experience practitioner, public forum

Quotes are from public practitioner forums recorded in our market research (Oct 2026); they describe the workflow, not this product. Monitoring tools price collection and replies — none of the five competitors we recorded price the roadmap outcome.

How it works

From raw reviews to a defensible brief in three steps.

01

Point it at a source

Paste an App Store URL or app id — the analyzer pulls recent reviews from Apple’s public feed — or import a CSV/paste from G2, Google Play, Capterra or support tickets.

02

Get quantified themes

Phrase-frequency clustering groups the corpus into named themes ranked by volume × negative share, each with sentiment mix, monthly trend, bug-vs-request split and representative quotes.

03

Export the brief

Download a Markdown roadmap brief — theme table with volumes and shares, quotes with star ratings, and the method note — ready to paste into your planning doc.

The analyzer — free, runs on your data

Paste a source. Get the themes.

Analysis runs in your browser: transparent heuristics, no black box, and your imported reviews never leave the page unless you fetch them yourself. Nothing is stored.

review-pulse · analyzer

Apple’s public RSS feed covers each storefront’s recent reviews (up to ~500). Try , or .

Pricing

A paid pilot, priced like the market’s mid tier.

4-week paid pilot

$99/month

One team · up to 3 review sources · you keep the briefs.

  • Up to 3 sources analyzed per cycle (App Store + G2 + support)
  • Quantified theme reports with trend and sentiment
  • Representative quotes with ratings, exportable as Markdown
  • One analyst walk-through of the results per week
  • Sources you connect stay yours — we store requests, not your corpus

Anchor: Appbot Medium and AppReviewBot Business both list at $99/mo, AppTweak at €99/mo — for collection and monitoring. The pilot prices the roadmap outcome instead. No card required to request; you approve scope before anything is billed.

Why a pilot and not a subscription?

This product is in validation. We’d rather earn a 4-week engagement, hand you briefs you actually use in planning, and let the work decide whether it continues.

What we need from you

App Store URLs are enough to start. For G2 or support exports, any CSV with a rating and a text column works — paste it into the analyzer above to see exactly what the pilot delivers.

What it is not

Not a review-monitoring service, not a reply tool, and not a black box: the clustering method is written on every report, and the free analyzer above runs the same heuristics in your browser.

FAQ

Straight answers

Where does the review data come from?
App Store analysis uses Apple’s public customer-reviews RSS feed, fetched through our own server proxy because Apple blocks direct browser requests. It covers each storefront’s recent reviews — typically up to about 500 per app, which is exactly the slice a planning cycle argues about. For anything else (G2, Google Play, Capterra, support tickets), bring a CSV or paste text; that parsing is 100% local in your browser.
How does the clustering work — is it an LLM?
No. It’s deterministic and inspectable: phrases (unigrams + bigrams) are counted across the corpus, seeded into themes by document frequency, and ranked by volume × (1 + negative share) so roadmap-relevant pain leads while praise clusters stay visible. Sentiment blends a negation-aware lexicon with star ratings, and the request-vs-bug split is keyword-classified. Same method every run; two people get the same report from the same corpus.
Do you store my reviews?
No. Live App Store fetches go through our proxy unmodified and are not retained; pasted or imported data never leaves your browser tab. The pilot form stores only what you type into it.
What are the limits?
Apple’s public feed caps at recent reviews per storefront and offers no historical export — if you need multi-year history, bring the CSV. Heuristic sentiment is roughly right on typical review language but is not human judgment; quotes are always attached so you can audit every theme against its sources.
Why $99?
It’s the recorded mid-tier of this market: Appbot Medium $99/mo, AppReviewBot Business $99/mo, AppTweak €99/mo, in a band from $19 to $479/mo across the five competitors we logged. Those price collection; the pilot prices the roadmap analysis. We think that’s the honest anchor for the outcome, and it’s a 4-week commitment, not a lock-in.
What happens after I request the pilot?
We reply from a human address within two business days, confirm your sources, and run one full analysis cycle before you commit to anything. If the brief isn’t useful in your planning, we’ll say so rather than renew.

Request pilot

Put a number next to every roadmap debate.

Tell us what you’re triaging and we’ll run the first cycle on your real sources. One email, no form gymnastics after this one.

  • Reply within two business days, from a human
  • First full analysis cycle before you commit
  • Scope confirmed before anything is billed — no card now

Request pilot access

$99/month · 4 weeks · 1 team · up to 3 review sources