Tip 6: Go Deep

Tip 6: Go Deep

R
Richard Newton
Depth isn't word count. It's how far a page takes the buyer's decision.

Depth is how far a page takes the decision

A person seated on a wooden bench is lacing brown leather walking boots indoors, with another boot and a backpack nearby.

A shallow page answers the question someone typed. A deep page answers it, then keeps going until the reader can act without opening another tab. That’s the whole difference, and word count has very little to do with it.

Google’s own guidance on helpful content says it has no preferred word count, and it’s right not to. A 700-word sizing guide for a pair of leather walking boots that settles the question can be deeper than a 3,000-word “ultimate guide” that circles it. What makes a page deep is the specific detail at the points where a buyer gets stuck: the threshold, the trade-off, the exception, the case where your product is the wrong choice.

We’ve argued elsewhere that the best ecommerce content answers the obvious questions. That’s about choosing what to write. This tip is about what happens once you’ve chosen: how far to take each answer, and how to tell when you’ve gone far enough.

What shallow looks like on a store

A hooded walker in a rain-soaked jacket climbs a rocky mountain trail beside a lake under dark clouds.

Shallow content is easy to recognise once you know the pattern. It restates the question and lists general factors before ending on “it depends on your needs”. Every sentence is true. None of them helps.

Take a fictional outdoor store and its guide to “how waterproof does a walking jacket need to be”. The shallow version says waterproof ratings vary and higher numbers mean more protection. It adds that breathability matters and you should consider how you’ll use the jacket. The reader finishes it knowing precisely what they knew before.

It also can’t be told apart from the ten other pages saying the same thing, which is the real commercial problem. If your guide adds nothing the others lack, there’s little reason for a search engine to prefer it, or for an AI answer to cite it.

The follow-up ladder

A person holds open a dark waterproof jacket, revealing a visibly damp inner lining covered with water droplets.

The most reliable method for adding depth is to climb the follow-up questions. Write the reader’s first question at the top of a page. Under it, write what they’d ask immediately after reading a good answer. Then the question after that. Stop when the next question belongs to a different decision.

For the jacket guide, the ladder runs like this:

  1. How waterproof does a walking jacket need to be?
  2. What do the numbers on the label mean, and which rating is enough for UK hill walking?
  3. Why do I still get wet inside a “waterproof” jacket?
  4. Is that a breathability problem or a leak, and how can I tell?
  5. Will the jacket stay waterproof, or does it need re-proofing?
  6. How often, and with what?

Question seven would be “which jacket should I buy”. That’s the next decision, so the guide hands it to a comparison page or the collection instead of trying to answer it too.

The shallow version answered only the first rung. The deep version answers all six, and rungs three and four are where it earns its keep. Wetness from condensation is one of the most common complaints about waterproof jackets and one of the least explained. A store that deals with those returns knows the answer; most competing pages never get that far.

Five kinds of detail that make a page deep

A close-up photograph of a taped jacket seam beneath a rucksack shoulder strap, with a blurred outdoor table and bottle in the background.

Climbing the ladder tells you which questions to answer. What follows gives each answer its substance.

Thresholds

Readers want a line they can act on. “Higher ratings are better” isn’t one. A stated threshold, such as the minimum hydrostatic head rating the store would recommend for all-day rain in the hills and the point beyond which extra rating mostly adds cost, gives the reader something to check against a label. If you can’t name the line, you probably don’t know the product well enough yet.

Trade-offs

Every product choice gives something up. Heavier face fabrics resist abrasion from rucksack straps but pack bigger. Fully taped seams keep water out but make the jacket stiffer. Naming the trade-off honestly is more useful than naming the benefit, because the benefit is already on the product page.

Mechanisms

Explaining why something happens lets the reader handle cases you didn’t cover. Once someone understands that a jacket’s outer water-repellent finish wears off, the face fabric soaks through, and breathability drops so sweat condenses inside, they can diagnose their own “leaking” jacket. That one paragraph can prevent a return.

Edge cases and exceptions

Deep pages cover the reader who doesn’t fit the average. Someone who walks in steady drizzle for days needs different advice from someone caught in the occasional downpour. A reader who runs hot needs different advice from one who stands around at a campsite. Edge cases are also where search queries get specific, and specific queries tend to come from people close to buying.

When your product is the wrong choice

This is the detail stores leave out most often, and the one that builds the most trust. If the store’s lightweight shell isn’t suitable for winter hill walking, say so and point to the heavier option. A guide that sometimes says “don’t buy this one” is believed when it says “buy this one”. The same logic drives comparison pages for high-intent buyers, where honesty about fit does most of the selling.

Where the deep material comes from

A woman in an apron inspects the muddy sole of a hiking boot at a workshop bench.

You can’t research your way to most of this. Thresholds, trade-offs and wrong-choice advice come from handling the products and hearing from the people who bought them. The sources are the same ones Tip 4: Show Your E-E-A-T describes for proving experience: returns reasons, service questions, fit feedback and the notes of whoever tests the range. Tip 4 is about showing that evidence exists. Depth is about using it to finish the reader’s thinking for them.

A practical way to gather it is a 20-minute interview. Sit down with the person who knows the category best, read them each rung, and record what they say. Most buyers and customer service leads can talk for an hour about the questions shoppers get wrong. The transcript usually contains every threshold and trade-off the guide needs.

How to test whether a page is deep enough

A lofted green down sleeping bag lies inside a tent on a sleeping mat, with a sunlit wooded landscape outside.

Run these checks on any guide before publishing, and on your existing guides when you review them.

  • The next-tab test: after reading, would a typical buyer need to search again to make the decision this page covers? If yes, find the missing rung.
  • The label test: does the page give at least one number, rating or measurement the reader can check against a product? Vague adjectives fail: a down sleeping bag described as “very warm” fails, and one that states its comfort temperature passes.
  • The summary test: could someone produce this page by rewording the current top five results? If so, it brings no information gain of its own yet.
  • The honesty test: does the page name a trade-off, or a case where the product isn’t the right choice?
  • The padding test: delete any paragraph that only restates the one before it. Depth often gets shorter in the edit.

A page doesn’t need to pass all five on the first draft. It does need to pass the next-tab test, because it’s the one the reader applies.

Depth and volume pull in different directions

A packed green hiking backpack with trekking poles rests on a rocky outcrop overlooking a mountain trail.

Going deep on every page takes time, which is why stores are tempted to publish many shallow pages instead. That trade rarely works. A large library of thin, similar pages gives search engines and readers little reason to trust any of it, and producing pages at scale mainly to rank is what Google’s scaled content abuse spam policy targets. We’ve written about what happens to the 1,000-article store that ranks for nothing.

The better approach is to decide how many pages you need from the questions buyers ask, which is the planning work in Tip 5: Cluster Up, then take each of those pages all the way up its ladder. For existing content, start with guides that already get impressions but convert poorly, such as a buying guide for a 35-litre hiking daypack, because they’re close to useful and a deeper rewrite can move them quickly. Our guide to prioritising content refreshes covers choosing which pages to rework first.

Deep pages must stay easy to read

A two-person backpacking tent stands beside a backpack, rolled sleeping mat, sleeping bags, and a camping mug beside a lake at sunset.

Depth isn’t density. A guide to a two-person backpacking tent that climbs six rungs has to let a reader jump to the rung they care about: clear headings for each question, the answer in the first sentence under each heading, and the explanation after. That structure is the subject of the next tip.

At Sprite, depth is why we ask brands for their product knowledge before we write anything: the sizing quirks, the returns reasons, the cases where a product isn’t the right fit. With that material, a guide can climb the whole ladder. Without it, any writer, human or machine, stops at the first rung.


This is Tip 6 in Sprite’s 11-part series on ecommerce content that compounds. Next: Tip 7: Keep It Skimmable.

Frequently asked questions

How long should an ecommerce buying guide be?

As long as it takes to settle the decision it covers, and no longer. Google has said it has no preferred word count, so length on its own earns nothing. A focused sizing guide might need 600 words. A guide comparing materials for a considered purchase might need 2,000. Work out the follow-up questions a buyer would ask, answer each one with specific detail, and cut anything that repeats itself. The length you end up with is the right length.

Can product pages be deep, or only blog content?

Product pages can be deep, just more compactly. The same ingredients apply: a sizing note drawn from returns data, the conditions the product suits and doesn’t, care instructions that explain what goes wrong, and the trade-off against the next model up. Keep the page scannable with short sections or an FAQ block, and link to the full buying guide for readers who want the longer explanation. A product page that answers the top service questions is deeper than most.

Is it better to update an old post or write a new, deeper one?

Usually update. If an existing post already targets the question and collects impressions, rewriting it in place keeps its URL and the links it has earned. It also avoids creating a second page that competes with the first. Write a new page only when the deeper material answers a genuinely different question. When you rewrite, work through the buyer’s follow-up questions, add thresholds and trade-offs from your own product knowledge, and remove anything that only restates what competing pages already say.

How does depth affect visibility in AI answers?

AI search tools assemble answers from sources and tend to cite pages that state specific, extractable facts. A page that gives a clear threshold, explains why a problem happens or says which product suits which case offers something to quote. A page that only says “it depends on your needs” offers nothing. Depth helps most when each specific answer sits under its own clear heading, so the fact can be found and lifted without the reader, or the model, digging for it.

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