Category pages that cannot rank
Thin category pages with no descriptive copy and duplicate title tags, so the store only ever ranks for its own brand name.
Traffic is the easy part. We work on the numbers that decide whether a store is profitable — conversion rate, average order value, and what it actually costs you to acquire a paying customer.
Ecommerce marketing is the work of bringing qualified buyers to a store and then removing every avoidable reason for them not to purchase — spanning search visibility, paid acquisition, product page quality, checkout friction, and repeat purchase.
The distinguishing feature is that everything is measurable, which cuts both ways. You can see exactly what a customer costs and what they are worth, so there is nowhere to hide a channel that is quietly losing money. Most stores that feel stuck are not short of traffic; they are converting too low, or paying too much per order, or never getting a second purchase.
That is why the work usually starts with arithmetic rather than campaigns. If your conversion rate is 0.8% and your acquisition cost is above your margin, more traffic makes the problem worse. Fixing the product page, the shipping message, or the checkout is often worth more than doubling ad spend.
Patterns we see repeatedly across Shopify, WooCommerce and custom storefronts.
Thin category pages with no descriptive copy and duplicate title tags, so the store only ever ranks for its own brand name.
Manufacturer descriptions copied verbatim, no sizing or materials detail, few images, and no reviews. Buyers leave to research elsewhere and buy there.
Forced account creation, shipping costs revealed only at the last step, and too many fields. This is where most abandonment actually happens.
Campaigns optimised to a platform-reported return that ignores returns, discounts and cost of goods, so apparent winners lose money.
No post-purchase email or WhatsApp flow, so every order costs full acquisition price and the store never compounds.
Heavy themes, unoptimised images and app bloat pushing load times past the point where a meaningful share of buyers give up.
Chosen against where your funnel is actually leaking, rather than a fixed package.
Category and product page architecture, indexation control over filters and variants, and content that captures buying intent rather than browsing traffic.
Storefront builds and rebuilds focused on speed, clean product templates, and a checkout that removes steps rather than adding upsells.
Google Shopping, Search and Meta campaigns structured by margin rather than by product count, with feed hygiene as the first fix.
Session recordings and funnel analysis to find where buyers stall, then structured tests on the product page, cart and checkout.
Abandoned cart, post-purchase and win-back flows over email and WhatsApp, so the second order costs a fraction of the first.
Reporting that nets out returns, discounts and cost of goods, so you are steering on contribution rather than platform-reported ROAS.
The same four stages on every project, so you always know what is happening and what comes next.
Conversion rate by device and channel, acquisition cost against margin, and where sessions drop out between product and payment.
Week 1-2Site speed, product page quality, and checkout friction. This comes before spending more, because it changes the maths on every channel.
Week 2-6Feed and campaign restructure, category SEO, and expansion into the products where the margin supports paid spend.
Month 2-5Lifecycle flows, repeat purchase rate, and reallocation of budget towards the products and channels producing real contribution.
OngoingEcommerce carries real obligations in India. The Consumer Protection (E-Commerce) Rules 2020 require specific disclosures, the Legal Metrology rules govern how packaged goods are described, and the DPDP Act 2023 covers the customer data your store collects. Getting these wrong invites complaints that cost far more than the work of doing them properly.
Targets we set and report against. Actual movement depends on your starting point, market, and budget.
The questions we are asked most often before a project starts.
Fix the store, in almost every case. Acquisition cost is fixed by the market but conversion rate is yours to change, and a lift from 1% to 1.5% improves the economics of every channel simultaneously. Spending more against a leaking funnel simply loses money faster.
It varies far too much by category, price point and traffic mix for a single benchmark to be useful. A considered purchase at a high price converts very differently from a repeat consumable. The number worth tracking is your own rate over time, segmented by device and channel, rather than an industry average.
Both, and they do different jobs. Paid buys immediate, controllable volume but stops the moment you stop paying. Category and product SEO compounds and eventually lowers blended acquisition cost. Most stores that are profitable at scale run both, with organic covering the terms that would otherwise be expensive to buy forever.
Shopify if you want speed to launch, managed hosting, and predictable checkout behaviour, and you can live within its constraints. WooCommerce if you need unusual catalogue logic, deep WordPress content integration, or full control of hosting and data. Both can perform well; the wrong one is the one that fights your actual requirements.
By contribution, not platform ROAS. We net out returns, discounts and cost of goods, so a campaign showing a 4x return in the ad platform but negative contribution after returns is treated as the loss it is. Blended acquisition cost against margin is the number that matters.
Conversion and checkout fixes can move revenue within weeks because they apply to traffic already arriving. Paid restructuring usually needs three to four weeks of data before it settles. Category SEO is a three to six month horizon, and retention flows compound over a similar period as your customer base cycles.
We will review your conversion path, product pages and acquisition cost, then send back the specific fixes worth making first.