An example use case showing the shape and economics of a typical Big Helpers ecommerce rebuild for an Indian D2C brand stuck at conversion plateau and rising ad costs.
Note: this is an example use case illustrating a typical Big Helpers engagement of this shape — not a named client. Real client names and numbers are kept private.
A 6-person home-fragrance D2C brand in Jaipur was running on a stock Shopify theme purchased two years earlier for ₹14,000. Monthly revenue had plateaued at ₹18L for 7 months in a row. Conversion rate sat at 0.9% — well below the 2-3% benchmark for their category. Cart abandonment was 73%. COD was 48% of orders, with RTO running at 22% (eating ₹85K-1.2L/month in shipping). Mobile PageSpeed was 34. They were spending ₹4L/month on Meta ads with ROAS down from 4.2 a year earlier to 2.1 — a number that made every new ad campaign feel like a coin toss.
Three structural problems compounded. (1) Checkout friction: UPI was buried below cards in the default theme; Indian buyers — 76% of their traffic — had to scroll, tap a sub-menu, and pick UPI manually. (2) No cart recovery: 73% of carts abandoned with zero recovery flow. The brand was leaking ~₹6L/month of nearly-converted revenue. (3) COD was unverified: every COD order shipped immediately with no phone-OTP confirmation — which is why RTO hit 22%. Layered on top, the slow page speed (LCP 6.4s on 4G) meant Meta's ad algorithm was optimising against a high-bounce landing page, dragging ROAS down month over month.
Tell us your category, current monthly revenue, and biggest pain (conversion, RTO, recovery, ad ROAS). We send back a 1-page diagnosis with the top 5 changes that would move the needle and what they'd cost to ship.
We rebuilt the store on Shopify in 6 weeks with a custom theme designed mobile-first for Indian buyer behaviour. Checkout: UPI auto-launched as the default payment, with Razorpay handling cards/netbanking/wallets as secondary. COD got a phone-OTP verification step before order confirmation, with bypass for repeat customers. WhatsApp Business API was integrated for cart recovery (30-minute trigger), order confirmation, AWB tracking, and NDR alerts. Shiprocket integration with live rates and AWB auto-generation. GST-compliant invoicing with HSN per SKU. GA4 + GTM + Meta Pixel rebuilt with proper enhanced ecommerce events so Meta's algorithm could finally optimise on real purchase events, not just page views. Product page redesigned with stronger storytelling, real lifestyle photography, reviews block with schema, and a mobile-first add-to-cart that didn't require scrolling to find. Stack: Shopify Basic + custom theme + 6 essential apps (down from 14 the brand had been paying for). Mobile PageSpeed lifted from 34 to 92.
Within 90 days of go-live, conversion rate climbed from 0.9% to 2.4%, lifting monthly revenue from ₹18L to ₹38L on roughly the same traffic volume. WhatsApp cart recovery added an attributable ₹4.2L/month of recovered revenue (recovery rate settled at 22% of abandoned carts). COD RTO dropped from 22% to 11% with phone-OTP verification. Meta ROAS recovered from 2.1 to 3.6 as the algorithm finally had clean enhanced-ecommerce events to optimise against. The ₹2.4L build cost was repaid inside month two; the brand reinvested the additional cash flow into a Hindi storefront variant for tier-2 cities.
It's an example use case representative of typical Big Helpers ecommerce rebuilds for D2C brands at the ₹15-30L/month plateau. Specific client names and exact numbers are kept private. The shape, technical choices, and rough economics are accurate to real engagements of this size.
Yes — and it's cheaper. Smaller-store rebuilds drop to ₹70K-1.2L because we skip the multi-channel sync layer and use lighter app/plugin choices. The economics still work as long as you have meaningful traffic (above 8,000 sessions/month is enough).
Possibly. We modelled it: Woo rebuild would have been ₹1.6L one-time + ₹35K/year hosting + ₹40K/year maintenance vs Shopify's ₹2.4L + ~₹1.5L/year ongoing. Woo turns cheaper at year 2 onward. The brand chose Shopify for operational simplicity (6-person team, no developer). The right call for them; not the right call for everyone.
Day 1. The 30-minute trigger after abandonment is set up at launch. Recovery rate settles at 18-28% within 4-6 weeks as templates get refined based on what messages get the highest response.
At ~1,200 orders/month with cart recovery + order confirmation + tracking, monthly WhatsApp cost was ~₹9-14K. Recovered revenue was ~₹4.2L/month. Net margin contribution from WhatsApp alone was ~₹1.8L/month after product COGS.
Initially 80% paid + 20% direct/referral. Over the next 6 months, schema (Product + Review + FAQ) lifted organic traffic from 200 to 1,400 visits/month — small but compounding. The bulk of the 90-day revenue lift came from converting existing traffic better, not new traffic.
Yes — the patterns are different. B2B stores need tier pricing, GST verification, bulk-order forms, dispatch-by-territory, and longer payment terms. We've built B2B Woo and Shopify stores; the engineering is heavier but the ROI math is similar.
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