An online store can earn from more than product margin: from its visitors, through affiliate programs, partner gifts after purchase, brand placements and paid services. Below are seven sources, how much work each takes and where it can hurt sales.
Where extra revenue comes from
Besides products, a store has three assets: traffic (people who visit the site), customers (people who already paid) and a contact base. Each is interesting to other companies looking for the same audience. The job is to sell access to that audience without hurting your own sales or breaking data protection law.
Customers are worth more than visitors: they already trusted the store, and their interests are clear from the order contents. So the most careful revenue sources work after payment, not on catalog pages.
Seven sources
| Source | Where it appears | Payment model | Risk to sales |
|---|---|---|---|
| Partner gifts after purchase | Thank-you page, order confirmation email | CPA, share of the payout | Low |
| Affiliate links to related products | Blog, guides | Percentage of sales | Medium: sends people away from the store |
| Brand placements (retail media) | Catalog, search, newsletter | Flat fee or CPC | Medium |
| Display ads | Any page | CPM, CPC | High |
| Paid services | Product page, checkout | Markup | Low |
| Sponsored parcel inserts | Parcel | Flat fee | Low |
| Co-marketing with brands | Site, newsletter, social | Audience swap | Low |
Partner gifts after purchase
After payment the customer sees 1–3 offers from companies that complement their purchase: a fitness app subscription with running shoes, a discount on pet food with a pet bed, a month of audiobooks with a paper book. The partner pays for a new customer, the store gets a share.
The plus of this model is that it doesn't compete with sales: the order is already placed. It's important to filter out partners who sell what you sell. See which gift categories fit your niche, for example for pet stores or bookstores.
Affiliate links and content
If the store has a blog or guides, you can put affiliate links in them to things you don't sell: services, apps, courses. Revenue depends on blog traffic. The risk is that the customer leaves your site before buying, so place such links only where you have no product of your own.
Retail media: selling space to brands
Large retailers sell suppliers spots in search, the catalog and newsletters. A small store can do the same selectively: a promoted position in a category, a dedicated newsletter issue, a banner on the home page. This takes sales effort, contracts and reporting, so it suits stores with noticeable traffic and recognizable brands in the catalog.
Display ads
A banner network connects fast, but the store barely controls what the ads show. Ads can show a competitor, slow the site down and require consent for advertising cookies. For most stores this is the weakest option.
Paid services and parcel inserts
Gift wrapping, assembly, installation, extended warranty: services with a good margin. Parcel inserts are flyers or samples from brands that pay for the placement. Neither touches the site, and both suit even small stores.
How to choose
- Start with what doesn't interfere with buying: services, parcel inserts, post-payment offers.
- Then what needs traffic: content with affiliate links, brand placements.
- Display ads only if there is no other option and your traffic is informational.
- For each source, calculate revenue per 1,000 orders or visitors and compare.
- Check which data goes to partners. The safest option is no personal data at all.
Taxes and bookkeeping
Affiliate payouts and placement fees are a separate kind of income, not product sales. You usually invoice for them or get a report from the platform, and record them separately from store revenue. Ask your accountant how to report this income in your country and with what VAT before the first payout.
What to avoid
- Offers that compete with your products or send the customer to a competitor.
- Categories that hurt your reputation: betting, loans, 18+ content.
- Scripts that collect customer data without your knowledge.
- Models where you can't see statistics or verify what you're owed.
- Too many experiments at once: it's hard to tell what actually worked.
How to negotiate with brands directly
If you decide to sell placements to suppliers, prepare a short audience description: orders per month, countries, main categories, share of repeat customers. Brands care more about who your customers are than about raw traffic numbers.
Start with one simple product: for example, a flyer in parcels for a month or a mention in one newsletter issue. A fixed price and a simple report get a deal done faster than complex percentage models. After the first placement you'll have real data for the next conversation.
Example calculation
In an example: a store gets 2,000 orders a month. 6% of customers click partner gifts after purchase, 15% of those sign up with partners, the average payout is €12 and the store's share is 60%. Revenue: 2,000 × 0.06 × 0.15 × 12 × 0.6 ≈ €130 a month. This is a ballpark for your math, not a forecast: plug your own values into the calculator.
With ThanklyClub, this model is connected through a WooCommerce plugin. The plugin is free, payouts start at €50 via SEPA, and AI hides partners that compete with your catalog.
FAQ
How can I make money from an online store's traffic?
Through partner offers after purchase, affiliate links in content, brand placements and paid services. Start with models that don't interfere with the main purchase.
Should I put Google AdSense on my store's site?
Usually not: the store doesn't control the ads, they can show competitors and slow the site down. Partner offers after payment are easier to control.
Do I need to share customer data with partners?
No. Models like post-purchase gifts work on a click: the customer goes to the partner themselves. Passing personal data requires a separate legal basis under GDPR.
What revenue is realistic?
It depends on order volume, niche and offers. Calculate with the formula: orders × click rate × conversion × payout × your share, then compare with real data after a month.
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