Conversion turns traffic
into revenue.
Conversion rate optimization (CRO) is the discipline of getting more revenue from the traffic you already pay for. A store converting at 1.2% versus 2.4% needs twice the ad spend for the same revenue, which means conversion is the quiet multiplier on every acquisition rupee.
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A37 approaches conversion as a funnel problem, not a button-color problem: we map the full browse-to-checkout journey, find where buyers drop, and fix the friction in order of revenue impact.
Where eCommerce funnels actually leak.
Most conversion problems cluster in four places: product pages that don't answer buying objections, carts that surprise people with shipping costs, checkouts with too many steps or failing payment methods, and mobile experiences that were an afterthought.
- PDP: weak imagery, missing social proof, unclear sizing or specs, no delivery promise
- Cart: surprise costs, no express checkout, weak cross-sell logic
- Checkout: forced account creation, payment failures, too many form fields
- Mobile: slow load, cramped tap targets, broken payment flows, 70%+ of traffic sees this first
CRO is a process, not a redesign.
One-off redesigns usually shuffle problems around. Real CRO is a testing cadence: instrument the funnel, form a hypothesis about the biggest leak, test it, keep the winner, and move to the next leak. Compounded over quarters, this is how stores double their conversion rate without doubling traffic.
We prioritise tests by expected revenue impact, a checkout fix that lifts completion 5% usually beats ten homepage experiments.
- Full-funnel analytics and session recording setup, so decisions come from evidence
- Friction audits on PDP, cart, and checkout with a ranked fix list
- A/B testing cadence with clear success metrics and guardrails
- Landing page design matched to ad intent, message match lifts paid conversion immediately
Conversion and acquisition are one system.
Conversion work makes every acquisition channel cheaper: the same ad budget yields more orders, quality score improves, and SEO traffic monetises better. That is why A37 runs conversion as a pillar of the same growth engine that manages your ads and SEO, the learnings feed each other.
Frequently asked questions.
- What is a good conversion rate for an eCommerce store?
- Across D2C, 1.5–3% is typical, but the honest answer is category-dependent: considered purchases like furniture convert lower than impulse categories like beauty. The more useful question is whether your rate is improving quarter over quarter, and whether mobile is dragging your average down.
- How much traffic do I need before CRO makes sense?
- Formal A/B testing needs enough orders to reach significance, roughly 1,000+ sessions a day makes testing fast. Below that, we rely on friction audits, session recordings, and best-practice fixes, which typically capture most of the upside without waiting for statistical significance.
- What single fix usually lifts conversion the most?
- For most stores we audit: showing the full landed cost (shipping, COD fees, delivery date) before checkout, and fixing mobile payment failures. Surprise costs are the top abandonment reason worldwide, and silent payment failures are pure lost revenue.
- Does site speed really affect conversion?
- Yes, measurably. Every additional second of load time costs roughly 7% of conversions, and Core Web Vitals also feed your Google rankings. Speed is one of the few fixes that improves conversion, SEO, and ad quality score at once.
How A37 runs this pillar for you.
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