How Desertcart achieved 4.6x in 10 months.
Desertcart — a cross-border marketplace shipping international brands into the Middle East — had strong supply but an underperforming acquisition funnel: high CPAs, low checkout completion and no coherent channel strategy. VR Digital rebuilt paid media and checkout CRO around landed-cost transparency, scaling revenue 4.6x while cutting blended CAC.
Client
Desertcart
Industry
Cross-Border E-commerce
Engagement
10 months · ongoing
Services
Google Shopping + Performance Max
Desertcart
Desertcart — a cross-border marketplace shipping international brands into the M…
Revenue Growth
4.6x
↑ AI verifiedBlended ROAS
5.4x
↑ AI verifiedBlended CAC
-39%
↑ AI verifiedCheckout Completion
+27%
↑ AI verifiedObjective
“High cart abandonment driven by unclear landed cost and customs duty at checkout. Google Shopping and PMax feeds were undifferentiated by margin, wasting spend on low-margin SKUs. Meta creative led with product imagery alone, ignoring the core cross-border trust objection. Conversion tracking was click-based only, giving bidding algorithms a weak, incomplete signal. No systematic CRO process — checkout changes were shipped ad hoc with no measurement.”
Challenges & Solutions
Here's what was broken — and how our AI-powered approach fixed it.
High cart abandonment driven by unclear landed cost and customs duty at checkout.
- High cart abandonment driven by unclear landed cost and customs duty at checkout.
- Google Shopping and PMax feeds were undifferentiated by margin, wasting spend on low-margin SKUs.
- Meta creative led with product imagery alone, ignoring the core cross-border trust objection.
- Conversion tracking was click-based only, giving bidding algorithms a weak, incomplete signal.
- No systematic CRO process — checkout changes were shipped ad hoc with no measurement.
Rebuilt Merchant Center feeds with asset groups segmented by product margin tier.
- Rebuilt Merchant Center feeds with asset groups segmented by product margin tier.
- Set tROAS bidding thresholds per tier so budget favoured the most profitable SKUs, not just the most clicked.
- Rewrote Meta ad creative around landed-cost transparency, delivery guarantees and duty-inclusive pricing.
- Implemented Meta CAPI and Google enhanced conversions for a clean, deduplicated revenue signal.
- Ran a structured checkout CRO sprint: surfaced duty-inclusive total price earlier, added a delivery-estimate widget, simplified the payment step from four screens to two.
- A/B tested every checkout change with a statistically powered sample before rolling out.
Our approach. 4 phases
Four compounding stages — AI agents active inside every one, 24/7.
Step 01
AI Audit & Research
Deep-dive into your current stack, competitors and market gaps using autonomous research agents.
Step 02
Strategy & Blueprint
AI synthesises findings into a prioritised, channel-specific growth roadmap unique to your brand.
Step 03
Build & Launch
Creative, tracking and campaigns shipped in days — not months — through AI-assisted workflows.
Step 04
Optimise & Scale
Agents monitor performance every 15 min, auto-action wins, and compound growth every cycle.
Results.
Revenue from paid channels grew 4.6x over 10 months. Blended ROAS improved from 2.3x to 5.4x. Blended customer acquisition cost dropped 39% as tracking and creative both improved. Checkout completion rate rose 27% after the duty-transparency and payment-flow changes. Performance Max now drives 3x the revenue of Search at a lower CPA than either channel managed alone.
Revenue Growth
4.6x
↑ AI-powered growth
Trailing 10 months · verified
Blended ROAS
5.4x
↑ AI-powered growth
Across the full engagement period
Blended CAC
-39%
↑ AI-powered growth
Across the full engagement period
Checkout Completion
+27%
↑ AI-powered growth
Across the full engagement period
Get Expert Insights for Free
Let our AI analyse your brand, campaigns, and growth potential — free expert audit, no obligation.
The starting state
High cart abandonment driven by unclear landed cost and customs duty at checkout. Google Shopping and PMax feeds were undifferentiated by margin, wasting spend on low-margin SKUs. Meta creative led with product imagery alone, ignoring the core cross-border trust objection. Conversion tracking was click-based only, giving bidding algorithms a weak, incomplete signal. No systematic CRO process — checkout changes were shipped ad hoc with no measurement.
AI-powered transformation
Rebuilt Merchant Center feeds with asset groups segmented by product margin tier. Set tROAS bidding thresholds per tier so budget favoured the most profitable SKUs, not just the most clicked. Rewrote Meta ad creative around landed-cost transparency, delivery guarantees and duty-inclusive pricing. Implemented Meta CAPI and Google enhanced conversions for a clean, deduplicated revenue signal. Ran a structured checkout CRO sprint: surfaced duty-inclusive total price earlier, added a delivery-estimate widget, simplified the payment step from four screens to two. A/B tested every checkout change with a statistically powered sample before rolling out.
Optimise your business.
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AI Growth Blueprint
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Case study FAQs
How were the results measured?+
All metrics are pulled from primary platforms — GA4, GSC, Google/Meta Ads, CRM and revenue dashboards — and verified before publishing.
How long did the engagement take to show signal?+
Most channels showed measurable signal within the first 4–8 weeks. Compounding wins (SEO, content, lifecycle) accelerated after week 12.
What AI workflows were used?+
Custom research agents, content QA bots, automated reporting pipelines and predictive bid models — all integrated into the client's existing stack.
Can you replicate this for my brand?+
Yes — we re-engineer the underlying systems for your category, audience and economics. Book a free 30-min audit and we'll outline the path.
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