Case studies

Four stores, four different leaks

Every one of these merchants had healthy traffic and an underperforming funnel. In each case the answer was somewhere specific — and in each case the aggregate numbers were the last place it would have shown up.

A note on numbers

These are real stores, so we only publish a figure or a quote when the merchant has given us permission to share it — the attributed ones are on the homepage.

The numbers in these stories are work shipped, not results measured. Counts like “around 60 page titles” or “14 product updates” describe what DynoWeb applied to that store. We do not publish conversion, revenue or ranking lift for these merchants, because we do not yet have figures they have confirmed and agreed to share — and an outcome number nobody has signed off on is worth less than no number at all. Any figure on DynoWeb marketing that is not attributed to a named merchant is illustrative, and is labelled that way.

The stories

Challenge, fix, and what the data showed

Yetibeds

A large furniture catalogue that search engines and AI shopping assistants could not read.

Read the story

Sahasika

Product pages that were slow, hard to shop on a phone, and invisible to Google Shopping.

Read the story

The Punarvasu

Over 1,200 recorded sessions turned into a short list of specific, page-level fixes.

Read the story

Skyline Decor

A first-week snapshot — what a brand-new store got out of DynoWeb on day one.

Read the story
The common thread

What every one of these has in common

We do not just report — we fix

SEO Autopilot applies theme and schema fixes and reads each one back to confirm it landed. DynoAgent executes product edits, imagery and discounts on approval. Titles, barcodes and structured data got applied, not recommended.

Behaviour becomes a plan, not a chart

Session replays and CRO Reports compress thousands of visits into a ranked, page-specific list. A rate tells you a page underperforms; this tells you which part of it to change first.

A retention layer in an afternoon

Exit-intent, cart rescue, email capture, quizzes and spin or scratch mechanics come from templates rather than a build. Every store above has a suite of them.

Findable in AI search, not just Google

The GEO audit and Product structured data are what make a catalogue readable by Google Shopping and by AI assistants. Furniture and fashion both needed it, and neither had it.

Value in the first session

A performance audit needs one page load, not a month of traffic. A store that had barely installed DynoWeb still came away with two named slow pages and the scripts responsible.

The boring work is the work

Missing barcodes, absent H1s, an unpreloaded hero image. None of it is clever and all of it is tedious, which is exactly why it survives for years on a catalogue nobody has time to audit.

Stop guessing. Fix it and see the money.

Your leak is somewhere specific too. Install DynoWeb and you will see your first findings within a day of normal traffic.

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