Furniture is one of the hardest verticals to convert online — high prices, high consideration, high anxiety. We rebuilt Furnishka's store around trust and built a remarketing engine that recovered 60K+ in abandoned revenue.
Furnishka sells contemporary furniture and home decor — sofas from 25,000, beds from 40,000, dining tables from 35,000. Their products are genuinely beautiful. Their store was not converting them. When we audited, we found a 76% bounce rate on product pages and a checkout completion rate of under 1.2%. The traffic was there. The intent was there. The trust infrastructure was not.
Choose a page and a device, then scroll inside the frame — this is furnishka.com as it runs in production today.
Product pages had no reviews, no delivery timeline, no return policy prominently visible, no EMI option displayed. For a 50,000 purchase decision, the page was providing zero reassurance.
Most Furnishka products are customisable — fabric, finish, leg colour. These options were in plain text in product descriptions, not selectable. Customers couldn't visualise their configuration.
Furniture buyers research for 2-6 weeks before purchasing. Furnishka had zero remarketing beyond a single abandoned cart email. High-intent visitors were visiting once and never being reached again.
Meta campaigns were running cold traffic directly to product pages — no trust-building, no collection browsing, no brand story. High CAC, low LTV, and a bounce rate that confirmed the mismatch.
6 workstreams, delivered by one team.
Rebuilt product pages with trust architecture above the fold: delivery timeline (specific, not vague), prominent return policy, EMI calculator, and review count. Every anxiety trigger addressed at the point of decision.
Built a Shopify-native configurator for customisable products. Customers select fabric, finish, and dimension options visually. Price updates live. Configuration is saved to cart as a named variant.
Built a 30-day remarketing sequence across Meta and email: Day 1-2 product reminder, Day 7 social proof with reviews, Day 14 alternative recommendation, Day 28 last-chance with discount. Each touchpoint has distinct creative.
Three-step cart recovery: immediate email (product + delivery details), 24hr follow-up (reviews + trust), 72hr final (alternative products at similar price). SMS integrated at the 24hr point for high-AOV carts.
Restructured Meta campaigns into a 3-stage funnel: awareness (lifestyle creative, brand story), consideration (product feature ads, range overview), conversion (specific product retargeting). Cold traffic now warmed before being asked to buy.
Integrated Judge.me with Klaviyo post-purchase flows to systematically collect reviews. Activated photo review requests. Within 90 days, product pages that had zero reviews had an average of 12.
The sequence of work, week by week.
Heatmaps, session recordings, and checkout funnel analysis. Identified all friction and trust gaps.
Trust architecture, configurator build, and review system integration. Deployed and A/B tested.
Multi-touch Meta sequences and Klaviyo cart recovery flows built and activated.
Cold-to-warm campaign architecture launched. Audience segmentation by funnel stage.
From 76% to 50%. The trust rebuilds kept visitors engaged through to considering purchase.
Visitors who return via the 14-day remarketing sequence convert at 2.2x the rate of first-visit cold traffic.
Configurator cross-sells and room-set recommendations drove AOV from 42,000 to 49,500.
First 6 months of multi-step cart recovery sequences across email and SMS.
Carryup, a Shopify-only design and engineering studio based in Bengaluru. Our engagement with Furnishka: Website Design & Development (×2), Maintenance, GraphQL & AI Operations.
furnishka.com runs on Shopify.
Trust-first product page redesign; Custom product configurator; Multi-touch remarketing funnel; Abandoned cart recovery sequences, and 2 more workstreams. The full scope is broken down in the "What we built" chapter of this case study.
We only publish case studies where we can show real, verifiable metrics tied to Shopify data — but every brand's starting point is different. Furnishka's results reflect what was possible given their specific gaps; your results will depend on where your store, tracking, and funnel currently stand.
We won't promise a specific number without seeing your data first. What we can promise: a diagnostic that tells you honestly whether the same class of fix applies to your store.
Tell us about your brand — we'll tell you honestly what it would take to build it, and where the revenue opportunity is.
