Theme trend lines, anomaly detection on prediction-vs-actual deltas, and impact scoring against your own data — sliced by SKU, channel, and time period in seconds.
The short answer
Voice of customer analytics turns raw feedback into measurable, comparable signal — theme volume over time, sentiment trends per SKU, anomaly alerts on prediction-vs-actual deltas, and impact scoring tied to business outcomes. Indellia is voice of customer analytics for consumer brands, with the Anomaly Agent handling deviation detection, the Theme Agent producing comparable trend lines, and indelliaGPT™ answering ad-hoc analytical questions with citations.
Voice of customer analytics is the analytical layer on top of feedback ingestion. Reporting answers "what happened." Analytics answers "what's changing, why, and what's the magnitude of impact."
The shift matters because consumer brands run dozens to thousands of SKUs across multiple retailers. Reporting on aggregate sentiment is noise. Analytics on per-SKU theme trends with anomaly detection is signal.
Most voice of customer analytics tools use static thresholds: "alert when negative reviews exceed 10%." That's noise in seasonal categories. The Anomaly Agent learns your SKU's baseline (including seasonality) and alerts only when reality deviates from forecast. Materially fewer false positives.
Themes don't stay still. A "battery life" theme might morph into "battery overheating" as a firmware issue compounds. The Theme Agent tracks drift over time so you see the evolution, not just a snapshot.
Aggregate analytics hide SKU-specific issues. Indellia's analytics default to per-SKU trends and roll up only when you ask. This is the right default for consumer brands.
indelliaGPT™ answers analytical questions ("which themes drove the rating drop?") with citations to the underlying reviews. No invented numbers. Every claim is auditable.
Amazon, Walmart, Best Buy, Costco, Lowe's, Target, Home Depot, Bazaarvoice retailer pages.
Zendesk, Intercom, Freshdesk, Gorgias, Gladly, Kustomer, Front.
Loop, Narvar, AfterShip. Typeform, SurveyMonkey, Qualtrics (read-only).
Snowflake (read + Mid-Market pushback). Shopify. Segment.
Indellia ships out-of-box analytics tuned for product feedback. If your team prefers to build everything from raw data with custom SQL, dbt models, and a BI front-end, you don't need Indellia's analytical layer — you can pull our data via Snowflake pushback and build your own. Many Mid-Market customers do exactly that for advanced analyses while using Indellia's native UI for the daily rhythm.
Voice of customer analytics is the analytical layer on top of feedback ingestion — theme trend analysis, anomaly detection, impact scoring, and cross-channel reconciliation. It turns raw feedback into measurable signal that informs product, CX, QA, and insights decisions. The shift from "reporting" to "analytics" matters because aggregate reports hide SKU-specific issues that per-SKU analytics surface.
The Anomaly Agent learns the baseline pattern for each SKU and theme — including seasonality, channel mix, and historical variance. It then alerts only when actual values deviate materially from the forecast. This catches emerging issues earlier than threshold-based alerting and produces materially fewer false positives in seasonal categories.
Yes — impact scoring correlates a theme's volume and sentiment trend with downstream metrics (star rating, return rate, support ticket volume). The output is a per-theme impact estimate. We're explicit about not claiming causation; the score is a directional signal you use to prioritize, not a fact you put in a board deck.
Indellia stores feedback indefinitely on both pricing tiers (unmetered data). For the historical baseline used in anomaly detection, the agent uses up to 12 months of prior data; for trend visualization, you can scroll back to your full ingested history.
Yes — Mid-Market plan includes Snowflake pushback. Themes, sentiment scores, and per-record analysis write back to your Snowflake account on a schedule you control. From there, your data team can query in SQL, build dbt models, and ship custom analyses through your normal BI stack.
Indellia's AI agents answer with citations from real customer feedback across Amazon, Walmart, Best Buy, and 20+ retail channels.
Start the free trial and the Anomaly Agent begins establishing baselines on your live SKUs within hours.