How UrbanCart achieved 3.2x in 5 months.
UrbanCart — a fast-growing D2C home-goods brand — was burning budget on Google and Meta with a 1.1x ROAS. VR Digital's AI bid intelligence and landing page CRO programme rebuilt their paid ecosystem, tripling return on ad spend while simultaneously reducing total spend.
Client
UrbanCart
Industry
E-commerce
Engagement
5 months · ongoing
Services
Google Ads + Meta Ads
UrbanCart
UrbanCart — a fast-growing D2C home-goods brand — was burning budget on Google a…
ROAS
3.2x
↑ AI verifiedAd Spend
-28%
↑ AI verifiedConversion Rate
+190%
↑ AI verifiedCPA
-41%
↑ AI verifiedObjective
“ROAS was 1.1x — effectively spending ₹1 to make ₹1.10, with no profitability headroom. No conversion tracking beyond basic GA4 — no revenue data in Google Ads. All campaigns running broad match with no negative keyword hygiene. Zero audience segmentation — cold, warm and retargeting traffic treated identically. Product landing pages had 78% bounce rate — no above-the-fold offer clarity. Zero creative testing process — one creative running for 4+ months.”
Challenges & Solutions
Here's what was broken — and how our AI-powered approach fixed it.
ROAS was 1.1x — effectively spending ₹1 to make ₹1.10, with no profitability headroom.
- ROAS was 1.1x — effectively spending ₹1 to make ₹1.10, with no profitability headroom.
- No conversion tracking beyond basic GA4 — no revenue data in Google Ads.
- All campaigns running broad match with no negative keyword hygiene.
- Zero audience segmentation — cold, warm and retargeting traffic treated identically.
- Product landing pages had 78% bounce rate — no above-the-fold offer clarity.
- Zero creative testing process — one creative running for 4+ months.
Installed server-side conversion tracking with revenue values — fed real ROAS data into the platforms.
- Installed server-side conversion tracking with revenue values — fed real ROAS data into the platforms.
- Rebuilt Google Shopping feed with AI-optimised titles, descriptions and custom labels by margin tier.
- Migrated to tROAS smart bidding with a 90-day learning budget; AI bid models updated every 15 minutes.
- Segmented audiences into five cold-to-warm tiers; separate creative and bid strategy for each.
- Built 12 landing page variants using AI copywriting + heat-map-informed layouts; ran continuous A/B tests.
- Launched Dynamic Search Ads and Performance Max with custom asset groups by product category.
- Meta campaigns rebuilt with DCO (Dynamic Creative Optimisation) — 320 creative combinations tested in 60 days.
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.
ROAS improved from 1.1x to 3.2x over five months. Ad spend reduced by 28% (redirected savings to higher-margin product lines). Conversion rate on paid traffic improved 190% — from 0.8% to 2.3%. CPA fell 41% — making the paid channel profitable for the first time. Google Shopping impression share grew from 14% to 67%. Best-performing Meta ad creative generated ₹42L in revenue from a ₹3.8L spend.
ROAS
3.2x
↑ AI-powered growth
Trailing 5 months · verified
Ad Spend
-28%
↑ AI-powered growth
Across the full engagement period
Conversion Rate
+190%
↑ AI-powered growth
Across the full engagement period
CPA
-41%
↑ AI-powered growth
Across the full engagement period
Get Expert Insights for Free
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The starting state
ROAS was 1.1x — effectively spending ₹1 to make ₹1.10, with no profitability headroom. No conversion tracking beyond basic GA4 — no revenue data in Google Ads. All campaigns running broad match with no negative keyword hygiene. Zero audience segmentation — cold, warm and retargeting traffic treated identically. Product landing pages had 78% bounce rate — no above-the-fold offer clarity. Zero creative testing process — one creative running for 4+ months.
AI-powered transformation
Installed server-side conversion tracking with revenue values — fed real ROAS data into the platforms. Rebuilt Google Shopping feed with AI-optimised titles, descriptions and custom labels by margin tier. Migrated to tROAS smart bidding with a 90-day learning budget; AI bid models updated every 15 minutes. Segmented audiences into five cold-to-warm tiers; separate creative and bid strategy for each. Built 12 landing page variants using AI copywriting + heat-map-informed layouts; ran continuous A/B tests. Launched Dynamic Search Ads and Performance Max with custom asset groups by product category. Meta campaigns rebuilt with DCO (Dynamic Creative Optimisation) — 320 creative combinations tested in 60 days.
“We went from dreading the monthly ad report to actually looking forward to it. The ROAS improvement alone paid for the entire agency retainer in the first month.”
Priya Nair
Co-founder & CMO, UrbanCart
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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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