Voice of the customer program
How consumer brands run a VoC program in 2026 — pillars, cadence, and tooling.
One dashboard. Every channel. Every SKU. Slice by theme, channel, or time period in seconds — and answer the ad-hoc exec question in minutes, not days.
The short answer
Consumer Insights teams at consumer brands use Indellia to centralize feedback from Bazaarvoice, Amazon Seller Central, retailer review pages, surveys, and social into one searchable picture. The Theme Agent clusters comparable themes across every channel, the SKU Agent links every record to a specific product, and indelliaGPT™ answers ad-hoc questions with citations to the source reviews.
If you run Consumer Insights at a consumer brand today, the work looks like this:
What good looks like for an Insights team:
The Theme Agent auto-clusters reviews, tickets, and survey responses into named topics. No pre-built taxonomy required. You can layer your own taxonomy on top, merge themes, rename them, or pin priority topics for executive reporting.
Read more in the topic modeling definition.
The SKU Agent normalizes Amazon ASINs, Walmart Item IDs, Best Buy SKUs, and your internal Model#s into one product view. Variant-level granularity included. See SKU-level feedback intelligence for the full method.
Star-rating drops, theme volume spikes, and channel-specific shifts are surfaced as anomalies — based on prediction-vs-actual deltas, not arbitrary keyword thresholds. Often catches a meaningful pattern days before the category average shifts.
Ask indelliaGPT™ a natural-language question — "What are users saying about the Model 7 battery this week?" — and get a one-paragraph answer with citations to the underlying reviews. No hallucinations. No invented metrics.
A scenario from a Head of Insights workflow at a consumer electronics brand:
Slack notification at 8:42 AM: "Model 7X reviews on Amazon dropped 0.4 stars in the past 7 days; dominant theme is 'charger heat'. Related ticket volume on Zendesk is up 38%."
Click through. Indellia opens the SKU view, pre-filtered to Model 7X, with the 14 reviews driving the shift surfaced at the top. Two of them name the firmware version. The Theme Agent has already linked the reviews to the matching support ticket cluster.
By 8:55, the briefing note is in the 9 AM standup deck. The Product team sees it before the exec asks.
How consumer brands run a VoC program in 2026 — pillars, cadence, and tooling.
Method for SKU-level analysis across retail channels and tickets.
The job: spot a trend before competitors do. Walkthrough with the Theme Agent.
How CE brands use Indellia across Amazon, Best Buy, Costco, and Bazaarvoice.
Walmart, Target, Amazon, and Bazaarvoice depth for CPG insights teams.
The category page. Where Indellia fits in the customer insights software market.
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For a typical Insights team with 50–200 SKUs, the initial setup takes a few business days. You connect retail review channels (Amazon, Walmart, Best Buy, Bazaarvoice) and your help-desk via OAuth, upload your SKU map, and the SKU Agent backfills history. Themes start clustering immediately and stabilize over the first week as more volume flows through.
Both. The Theme Agent generates an automatic taxonomy from your feedback, and you can layer your existing categorization on top. Most Insights teams run with the auto-generated themes for the first month, then pin the categories that matter to leadership and merge the rest. Custom taxonomies are saved per workspace.
Indellia ingests from Bazaarvoice-powered retailer pages alongside direct retailer feeds. Bazaarvoice remains your syndication and submission layer for retailer pages; Indellia is the analytics, theme detection, anomaly monitoring, and search layer on top of that data plus everything else you bring in. See the Bazaarvoice glossary entry for context.
Yes — that's the design. Both pricing tiers include unlimited users, so Product Managers, CX leads, and QA engineers can see the exact same theme clusters and SKU views. Different teams pin different dashboards, but the underlying corpus is shared. This ends the "every team has different feedback numbers" problem.
Indellia is $495 or $1,995 per month — flat. Compared to the per-record or per-seat pricing that competitors use, the math usually pencils within the first quarter for any team with more than two analysts and 50+ SKUs. We do not publish ROI calculators with invented metrics; the practical case is the time saved on data wrangling plus the earlier signal on defects and review-rating drops.
Indellia's AI agents answer with citations from real customer feedback across Amazon, Walmart, Best Buy, and 20+ retail channels.
Start the free trial, or book a 30-minute walkthrough with someone who has worked with Insights teams at consumer brands.