A SaaS company and an online store can hire the same SEO team and should still get different plans. Below is the page-type comparison we plan from: which pages each model needs, what each is for, and the number each answers for. Use it to check whether your roadmap fits your model.
One question decides the plan: where does the buyer decide?
A shopper usually decides in one sitting, so the store page carries the whole sale: price, specification, delivery and returns, and a short path to the basket. Nothing on it can wait for a second visit.
A SaaS buyer decides over weeks, often not alone. A self-serve product is chosen by one person in a trial; a sales-led product by a champion, a budget holder and a technical evaluator, each reading different pages. So we run two lenses: SaaS SEO for product-led signups, and B2B SEO for committee-led cycles measured in pipeline.
- Who decides
- A shopper, usually in one sitting on the store page
- Reported on
- Organic revenue, inside the same reporting period
- Who decides
- One person, in a trial
- Reported on
- Signups, trials and activations
- Who decides
- A champion, a budget holder and a technical evaluator
- Reported on
- Pipeline, with the sales cycle before the revenue
The page-type comparison we plan from
Before any roadmap is written, we list the page types the business needs and give each one a job and a number. The table below is that list, as it reads for the two models. A page type with no number beside it does not go on the roadmap.
| Page type | SaaS: its job and its number | eCommerce: its job and its number |
|---|---|---|
| Comparison and alternatives pages | Built first. They meet a buyer choosing this week. Reported on signups or demo requests per page | Rarely first. “X vs Y” is mostly settled by specification and price on the product page itself |
| Integration pages | Early. They answer “does it work with what we already use?” Reported on signups and on sales-accepted leads where sales-led | Not a page type for most stores |
| Category pages | Rare. A feature set is not a catalogue | Built first. Each category targets a demand cluster it can own. Reported on organic revenue per category |
| Product pages | One product, usually a handful of feature pages written from the product outward | Hand-written depth for best-sellers and high-margin lines; structured templates for the long tail |
| Filter and facet URLs | Not applicable | Crawl rules decide which combinations are indexed. Reported on index coverage, then revenue |
| Educational content, glossaries, templates | Later, once the money pages convert. Scaled with restraint so it does not become thin | Buying guides placed under the category they support, briefed from the same demand map |
| Pricing page | A search target in its own right (“ pricing”) | Price lives on every product page; no separate target |
Read down either column and the first three rows you would build are different page types. A proposal that opens with the same three items for a software company and a shop has not looked at either.
What gets reported, and why the clocks differ
We agree each page’s number before anything ships. For a store it is organic revenue, because a product query converts inside the same reporting period. For a product-led SaaS it is signups, trials and activations, joined to product analytics. Where free-to-paid lags by months, we report cohorts and label what is measured and what is modelled.
The clocks differ too. Crawl-control fixes on a store tend to show within weeks; category rebuilds in our plans typically take 3 to 6 months to move. A SaaS programme judged on a monthly revenue report will look like it is failing for a quarter, because the sales cycle sits between the ranking and the revenue.
Where content, the website and sales reporting sit with different teams, the SaaS growth coordination guide gives each deliverable an owner and an acceptance check, so the reporting line is agreed by the people who have to produce it.
Architecture follows the page types
A store’s architecture mirrors its catalogue. Category pages link down to products, products link across to related items, and the hard technical problem is the filters: size times colour times brand can turn a thousand products into a million thin URLs unless someone sets the rules.
A SaaS site has no catalogue to mirror, so we recommend mapping it the way a buyer’s understanding deepens: the job first, then the feature that does it, then the proof that it fits their stack. A common mistake is a flat “category” page per feature: it ranks, and converts poorly, because nobody researches software that way.
When this split is the wrong lens
Some businesses are both, and the table has to be read twice. Three cases come up:
- A subscription store. It sells physical products but earns on renewals, so category and product pages come first while reporting follows cohorts, much like SaaS.
- B2B commerce with account pricing. The catalogue needs store architecture; the buyers behave like a committee. Category pages and pipeline reporting run on one roadmap.
- A marketplace seller as well as an owned store. Head terms usually belong to the marketplace, and the plan changes again; the Amazon versus own-store comparison covers that split.
In each case the method holds: list the page types, give each a job and a number, then order them by which ones meet a buyer closest to a decision.
Written by
Shweta Agarwal
Chief Operating Officer, Vinove
Shweta runs the operating side of the group, holding delivery, process and accountability consistent across the group. Her focus is on the systems that let teams grow without losing the standard they started with.
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