Category sizing, competitor benchmarking, and trend analysis from the same review and digital-shelf data your category managers and brand teams already use to operate.
The short answer
A market intelligence platform turns public market signal — competitor product data, retail-channel performance, customer reviews — into measurable, comparable, decision-grade output. Indellia is a market intelligence platform for consumer brands: ingest your category's competitor SKUs across Amazon, Walmart, Best Buy, and Bazaarvoice retailer pages, and the Theme Agent produces benchmarkable theme data for your brand vs the field. Trend analysis runs against the same data.
"Market intelligence" used to mean syndicated reports — Nielsen, IRI, Circana — telling you what happened last quarter at the category level. That's still useful, and not what Indellia does.
Modern market intelligence platforms add three things on top:
Indellia covers the first two natively and bridges to the third. For category sizing and quantitative share data, Nielsen / IRI / Circana stay where they are — Indellia complements that stack.
Configure a competitor corpus — their SKUs on Amazon, Walmart, Best Buy, Costco, and Bazaarvoice retailer pages — and the same Theme Agent runs the same clustering. Themes are directly comparable: your "battery life" vs theirs.
Themes rising across the entire category — not just on your SKUs — surface the macro shifts. Useful for catching a category trend before competitors capitalize on it. Read more in market trend analysis.
Ask indelliaGPT™ : "What do customers love about us that they don't say about [competitor]?" Get a cited answer with verbatims from both corpora. Drop into the campaign brief.
The same SKU Agent that maps your reviews to Model#s also tracks competitor digital-shelf health (review velocity, listing recency). The bridge into digital shelf analytics is built in.
Amazon, Walmart, Best Buy, Costco, Lowe's, Target, Home Depot, Bazaarvoice retailer pages.
Loop Returns, Narvar, AfterShip. Shopify. Segment.
Zendesk, Intercom, Freshdesk, Gorgias, Gladly, Kustomer, Front. Typeform, SurveyMonkey, Qualtrics. Grain, Gong, Twilio.
Snowflake (read + Mid-Market pushback) for joining with Nielsen / IRI / Circana data your team already pulls.
Indellia does not produce category-share quantitative data — that's the work of syndicated panel-based research. Indellia produces qualitative and theme-level market intelligence from the public review and feedback corpus across retailers. Most consumer brands run both: syndicated data for share, Indellia for the language and theme-level reading. Snowflake pushback (Mid-Market) is the bridge that joins them.
A market intelligence platform turns public market signal — competitor product data, retail-channel performance, customer reviews — into measurable, comparable, decision-grade output. Modern market intelligence platforms add competitor product reading, trend analysis from feedback, and digital-shelf intelligence on top of traditional syndicated category research.
Yes — competitor SKU ingestion uses public review data on retailer product pages where the SKUs are listed. There is no private API access required, and no signal is sent to the competitor. The Theme Agent runs the same clustering on the competitor corpus as on yours, producing comparable themes.
The Theme Agent runs across both your corpus and the competitor corpus, producing themes that span the full category. Themes rising in volume or sentiment across multiple brands surface as category-level trends. The Anomaly Agent flags deviations from category baseline. Read the full method in market trend analysis.
No — those produce syndicated category-share quantitative data from panel and POS sources. Indellia produces qualitative and theme-level market intelligence from public reviews and feedback. They're complementary. Many consumer brands join Nielsen/IRI/Circana share data with Indellia theme data via Snowflake (Mid-Market) for a fuller market picture.
Both pricing tiers include unmetered data, so the competitor corpus size is not metered separately. Most consumer brands track 3–10 direct competitors for active benchmarking and add up to 20 more for category-level trend analysis. Performance scales linearly with the corpus size.
Indellia's AI agents answer with citations from real customer feedback across Amazon, Walmart, Best Buy, and 20+ retail channels.
Connect your channels and competitor SKUs during the free trial. Brand-vs-competitor theme dashboards populate within the first ingestion cycle.