01
No trust signals on high-stakes product pages
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.
Overview
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.
The problem
What was broken and why it mattered.
02
Customisation options buried in descriptions
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.
03
No remarketing infrastructure for long consideration cycles
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.
04
Ads driving cold traffic to product pages
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.
The work
The full scope of what we built.
🏛
Trust-first product page redesign
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.
🎨
Custom product configurator
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.
📧
Multi-touch remarketing funnel
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.
🔋
Abandoned cart recovery sequences
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.
🎯
Cold-to-warm ad funnel rebuild
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.
⭐
Review system and social proof
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
How we got there.
The sequence of work, week by week.
1
Week 1–2
CRO audit and UX analysis
Heatmaps, session recordings, and checkout funnel analysis. Identified all friction and trust gaps.
2
Week 3–4
Product page redesign
Trust architecture, configurator build, and review system integration. Deployed and A/B tested.
3
Week 5–6
Remarketing infrastructure
Multi-touch Meta sequences and Klaviyo cart recovery flows built and activated.
4
Week 7–8
Ad funnel restructure
Cold-to-warm campaign architecture launched. Audience segmentation by funnel stage.
Questions
About this case study.
Is this result typical, or is it an outlier?
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.
How long did an engagement like this take?
Timelines vary by scope, but most engagements follow the same pattern: a diagnostic phase in week one, then delivery in two-week sprints. See the sequence above for how this specific engagement was paced.
Can you get similar results for my brand?
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.
What if my brand is in a different industry?
The underlying levers — tracking accuracy, checkout friction, funnel structure — are largely industry-agnostic. See our industry pages for category-specific context.
Go deeper
The services and reading behind this result.
Services used
Shopify CROCustom App DevelopmentPerformance MarketingEmail MarketingRevenue Tracking
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