Most online stores run SEO and paid search as two separate jobs. One person writes content and fixes the site. Another person manages ad accounts. Each has a budget, a report and a target. Nobody asks the obvious question: for this search, should we pay for the click, earn the click, or do both?
This article gives you a simple model for answering that. The numbers below are illustrations, not benchmarks. Your own data will differ.
Group searches by intent
Intent means what the person wants when they type the search. Group your searches into five buckets.
- Brand: people searching for your store or product names.
- Category: people looking for a type of product, such as "linen bedding".
- Product: people searching for a specific item, model or size.
- Comparison or problem: "best moisturiser for dry skin" or "waterproof jacket vs softshell".
- Informational: "how to wash linen sheets". Low buying intent, but useful for trust.
Each bucket behaves differently. Brand searches are cheap and usually convert well. Informational searches rarely convert on the first visit. One rule for all of them means overspending on some and ignoring others.
The earn, buy or both rule
Earn means you rank in the free results through SEO. Buy means you pay for ads. For each group of searches, ask four questions.
- Cost: what does a paid click cost, and what is the cost per sale from it?
- Rank difficulty: how hard is it to reach the top few free results? Strong competitors and thin content make it harder.
- Margin: how much profit does one order leave before ad costs?
- Speed: do you need sales this month, or can you wait three to six months?
Use these decision rules:
- Buy only when you need speed, ranking is hard, and margin covers the ad cost. New product launches are a common case.
- Earn only when ranking is realistic and paid cost per sale would exceed your margin. Informational searches usually land here.
- Both when the search is valuable and you can rank. Brand and your best category terms are typical.
A worked example: a product earns 40 in profit per order before ads. If ads on a search cost 25 per sale, you keep 15. If they cost 45 per sale, you lose 5 on each order. Do not buy that search. Try to earn it, or drop it.
Let each budget inform the other
Paid data shows SEO opportunities
Your ad account is a free research tool. Look for these patterns:
- Search terms that convert well. Check whether you rank for them. If not, build or improve a page.
- Terms you pay for but already rank first for. Test pausing ads on a few. Watch total sales, not just ad sales. Results vary, and some stores see little loss while others do.
SEO data shows paid waste
Search Console shows which searches already bring you free clicks. Compare it to your ad spend.
- Pause or lower bids on terms where you hold a strong organic spot and sales do not drop.
- Add negative keywords (terms that stop your ads showing) for informational searches that cost money and never sell.
Share landing pages and messaging
A landing page is where the click arrives. Paid and SEO often use different pages for the same search. That splits your learning in half.
Where it makes sense, send both to one strong page. A category page with clear filters, honest delivery details, reviews and a fast load time works for both. Paid data tells you which headline and offer convert. Put the winner into the page that ranks.
One exception: if a campaign needs a special offer or a stripped-down test page, use a separate page and keep it out of search results.
Build a coverage map in a spreadsheet
You need no special software. Create one sheet with these columns:
- Search group (for example, "linen bedding")
- Intent bucket
- Monthly searches (estimate from a keyword tool)
- Current organic position
- Paid spend and paid cost per sale
- Margin per order
- Decision: earn, buy or both
- Landing page
- Owner and next action
Fill in 20 to 50 groups, starting with top sellers. Highlight rows where you pay but rank well, and rows where you rank poorly on valuable terms with no ads. Those are your first tasks.
Track one blended cost per sale
Report paid and SEO together. Blended cost per sale is total spend across both, divided by total sales from both.
For example: you spend 3,000 on ads and get 100 sales. That is 30 per sale. You spend 2,000 on SEO (content, tools and time) and get 50 sales from organic search. That is 40 per sale. Combined, you spend 5,000 for 150 sales, which is 33.33 per sale.
SEO looks more expensive here, but it keeps working after the spend. Paid stops when you stop paying. Track both numbers, and watch the blend over several months. Attribution is imperfect, so treat these as estimates and look at trends.
Review rhythm and common mistakes
Review monthly. Check the coverage map, move one or two groups between earn, buy and both, and note what changed in blended cost. Every quarter, re-check keyword difficulty and margins.
Common mistakes:
- Separate teams that never meet. Put both people in one monthly review.
- Separate reports. Each shows a good number while the total gets worse.
- Pausing ads based on ad data alone. Check total sales first.
- Judging SEO after six weeks. It usually needs longer.
What to do next
- Export your top 50 paid search terms and your top 50 organic queries.
- Build the coverage map and sort every group into an intent bucket.
- Apply the earn, buy or both rule to your ten highest-margin groups.
- Calculate your blended cost per sale for the last three months.
- Book a monthly 45-minute review with everyone who touches search.