01 About Rizik Store
Rizik Store is an Indian home decor and handicraft brand offering a wide range of decorative and gifting products, from planters and floor stands to decor accents, sold across India with a growing catalogue on Amazon India. Like many home decor sellers on the platform, Rizik's products competed in a category where buyers lean heavily on star ratings and review depth before purchasing, since decor items are difficult to evaluate from photos alone.
Rizik entered the review recovery programme with a rating that undersold its actual product quality. As the brand put it, they had a strong product, but the Amazon rating wasn't reflecting its true potential, and that gap was directly hurting both search visibility and conversion.
02 The Challenge
- →Average rating sitting at 3.1★, below the 4.0★ floor buyers trust in a visually-driven category like home decor
- →412 total reviews with only 63% verified, a credibility concern for Amazon's trust algorithm
- →Organic review velocity of ~12 per month, far too slow to move ratings meaningfully
- →Minimal prior seeding activity (23 orders, 4 unique buyers), with no structured process behind it
- →An in-house team that, in the brand's own words, struggled to build review velocity consistently
03 Brand Integer's Approach
Brand Integer was engaged to design and execute a structured, sustained Amazon seeding and review recovery programme, the same methodology used across our Amazon rating recovery engagements. It operates entirely within Amazon's guidelines, focused on generating genuine verified purchase reviews from real buyers.
3.1 SQ Health Assessment
Rizik's catalogue was assessed and assigned a "Seeding Quotient" (SQ) score, an internal health metric that determines priority, budget allocation, and campaign duration for each SKU. Listings with the weakest rating signal and strongest commercial value were prioritised first.
3.2 Mediator Network Deployment
Brand Integer's verified mediator network coordinated seeding orders through real buyers: individuals who make genuine purchases, use the product, and leave honest reviews, replacing Rizik's ad hoc prior activity with a consistent, structured cadence.
3.3 Review Type Targeting
Buyers were encouraged to leave detailed reviews with photos or text, aligning with Amazon's known weighting model, where verified and detailed reviews carry meaningfully more algorithmic weight than star-only ratings, especially important in a category like home decor where buyers want to see the product in a real setting.
04 Results: Before vs. After
| Metric | Before | After |
|---|---|---|
| Average Rating | 3.1★ | 4.2★ |
| Total Reviews | 412 | 1,540+ |
| Verified Reviews | 218 | 1,390+ |
| Unverified Reviews | 124 | 320 |
| % Verified Reviews | 63% | 85% |
| Monthly Review Velocity | ~12 / month | ~85 / month |
| Seeding Orders Placed | 23 | 1,300+ |
| Unique Buyers Engaged | 4 | 1,230+ |
- ★Rating trajectory: Ratings moved from 3.1★ to 4.2★ over the 15-month programme, a 1.1-point improvement that took Rizik's listings past the 4.0★ trust threshold.
- ★Verified review share: The proportion of verified purchase reviews grew from 63% to 85% of total reviews, meaningfully shifting Amazon's algorithmic trust signal for the listings.
- ★Review velocity: Monthly review velocity scaled roughly 7×, from ~12 to ~85 reviews per month.
- ★Seeding scale: Seeding orders grew from 23 to 1,300+ across the programme, engaging 1,230+ unique buyers versus just 4 beforehand.
05 Business Impact
- →Rating credibility improved from 3.1★ to 4.2★, directly addressing the visibility and conversion gap the brand described in a highly visual, trust-sensitive category
- →Verified review share crossed 80%, strengthening Amazon's trust signal for Rizik's listings against competing decor sellers
- →Structured seeding replaced ad hoc activity, taking monthly review velocity from a near-organic trickle to a sustained, predictable cadence
- →The programme gave Rizik's in-house team a consistent review pipeline they had not been able to build on their own
06 Client Voice
"We had a strong product, but our Amazon rating wasn't reflecting its true potential, and that gap was hurting both visibility and conversions. Brand Integer brought a structured, consistent approach to building review velocity that our in-house team struggled to achieve. Over 15 months, the impact was clear: our Amazon rating climbed significantly, strengthening customer trust and helping our products compete more effectively in search."
- Brand Team, Rizik Store
07 Key Learnings
- →A near-organic starting velocity (~12/month) takes sustained months, not weeks, to compound into a meaningfully different rating; short engagements underperform
- →Verified purchase share is the leading trust signal Amazon weighs, more than raw review count alone
- →Structured seeding vastly outperforms ad hoc activity: seeding orders scaled from double digits to four figures once a consistent process replaced occasional, unstructured pushes
- →In visually-driven categories like home decor, encouraging photo and text reviews matters even more, since buyers lean on real-setting photos to judge products they can't touch