Prices without context are just numbers
Most online shops can find out what competitors charge. The harder part is knowing what to do about it. A competitor drops a price by 10 percent: does it matter for your sales, or do your customers buy from you for other reasons? Pure price tracking answers the first question and leaves the second to guesswork.
Monetisation combines competitor pricing watch with your own revenue model. It shows a competitor change next to your sales on the same product line, so you can see whether it moved anything, and it estimates the effect of your own price moves before you make them.
The revenue streams that matter for e-commerce
- Product pricing. Base prices by product and category relative to the market.
- Bundles. Products sold together at a combined price.
- Subscriptions and replenishment. Subscribe-and-save for products people reorder.
- Shipping thresholds. The order value at which shipping becomes free.
- Discounts and promotions. Codes, sales and loyalty offers.
- Upsell and cross sell. Add-ons in the cart and after purchase.
- Premium membership. Paid shipping or perks programmes for frequent buyers.
What the audit typically finds in an online shop
The examples below are hypothetical. Your audit shows only what your own data supports, with an estimate range, a confidence level and the method in plain words.
Products priced below the market with no reason
Some products sell steadily at a price well below competitors, because nobody revisited them. The audit compares your prices with watched competitor pages and your sales stability, and estimates a careful increase on products where demand looks insensitive.
A shipping threshold in the wrong place
If the free shipping threshold sits far above the typical basket, few customers reach it and the threshold does little. If it sits below, it gives away shipping on orders that would have happened anyway. The audit reads your order value distribution and estimates a better threshold.
Reorders with no subscription
When a large share of customers buys the same product every 30 to 60 days, a subscription option can lock in those orders. The audit finds products with regular repeat purchase and estimates take-up.
Products bought together but sold apart
Order data often shows pairs and trios bought together. A bundle at a modest discount can lift average order value. The audit lists the strongest pairs and estimates the effect.
Discount codes that never die
A welcome code shared on coupon sites becomes a permanent discount. The discount leakage monitor shows which codes are used most and by whom.
Data sources to connect
| Source | What it gives the model |
|---|---|
| Stripe | Orders, subscriptions, discounts, refunds, when you sell through it |
| CSV exports from Shopify or another shop platform | Orders, line items, products, discount codes |
| Google Analytics 4 | Traffic by channel, product page views, cart and checkout funnel |
| Your website (crawl) | Product and pricing pages, shipping terms, bundle offers |
| Competitor pricing watch | Changes on up to 10 (Growth) or 50 (Scale) competitor pages |
| Google Ads and Meta Ads | Acquisition cost by campaign and product |
Competitor pages are public pages you choose. Monetisation checks them for price changes and shows the history next to your own sales.
A worked example, entirely hypothetical
Take a shop with 5,000 orders a month at an average order value of 48 USD, so 240,000 USD of monthly revenue. Free shipping starts at 75 USD, and shipping costs the shop 6 USD per order. Gross margin is 40 percent.
| Opportunity | Method in plain words | Estimated monthly impact on gross profit (low, expected, high) |
|---|---|---|
| Free shipping threshold from 75 to 55 USD | 15 percent of orders between 40 and 55 USD grow by 10 USD; shipping now paid on 500 more orders | 0, 900, 2,000 USD |
| Subscribe-and-save at 10 percent off on 3 refill products | 1,200 repeat buyers, 20 percent subscribe, order frequency up from 0.6 to 0.9 a month | 1,000, 1,700, 2,600 USD |
| Price increase of 5 percent on 40 stable products | 60,000 USD of monthly sales, 3 percent volume loss assumed | 900, 1,800, 2,400 USD |
The price increase arithmetic, expected case: 60,000 USD × 1.05 × 0.97 = 61,110 USD, so revenue rises by 1,110 USD. Because cost of goods falls with the 3 percent lower volume, gross profit rises more than revenue: 40 percent margin on 60,000 USD is 24,000 USD before, and after the change cost of goods is 36,000 × 0.97 = 34,920 USD, so gross profit is 61,110 minus 34,920 = 26,190 USD, about 2,200 USD more. The audit shows a slightly lower expected case of 1,800 USD after adding a confidence adjustment. Every figure is an estimate, not a guarantee of results.
The shipping threshold case shows a low estimate of zero on purpose. If fewer customers grow their basket than assumed, the change pays for itself and no more. The method sits next to the range so you can judge it.
How experiments run in e-commerce
Page variants with a holdout
On Growth and Scale, the snippet can show variants of how a shipping threshold, bundle or subscription option is presented, with a holdout group seeing the current page. Typical tests: threshold message in the cart, subscription selected by default or not, bundle shown on the product page.
Dated interventions
Price changes and new thresholds are made in your own shop platform. You record the date, and Monetisation compares orders, average order value and gross profit after that date with the baseline trend, alongside any competitor price changes in the same window.
Playbooks
Launching subscriptions or cleaning up discount codes is a set of steps. Monetisation gives you a checklist and measures the metric you pick.
Every result has a verdict: win, flat, loss or not enough data. A loss is shown as plainly as a win.
Price intelligence with revenue attached
Dedicated price scraping tools track thousands of SKUs across many retailers, and large catalogues may still need one. Monetisation focuses on the pages that matter most to you and connects them to your revenue model, which suits shops that want decisions, not just a feed. It never changes prices in your shop or in a connected account.
The same approach to price tests is described on the pricing optimization software page. If you sell through your own marketplace with many sellers, the marketplace take rate optimization page fits better. For shops that also run content and affiliate pages, see the website monetization platform guide.
Getting started
Run a sample audit on the homepage with your shop address and the E-commerce business type. In about a minute you see the first 3 opportunities with estimate ranges and a revenue stack map. To connect orders and start watching competitor pages, see pricing and get started on Growth or Scale.
Questions
What does price intelligence software do?
It collects competitor prices for comparable products, alerts you to changes and shows where you are above or below the market. Better tools also connect those prices to your own sales so you can judge which differences matter.
Should I always match the lowest competitor price?
No. Matching every cut erodes margin, and many buyers pay a little more for faster delivery, better service or a brand they trust. The useful question is which products are price-sensitive for your customers.
How do I set a free shipping threshold?
Look at the distribution of order values and set the threshold slightly above the most common basket, so a meaningful share of customers adds one more item to qualify. Then check that the extra margin covers the shipping cost.
Do subscriptions work for e-commerce?
They work well for products people reorder, such as consumables, food, supplements and pet supplies. A small subscribe-and-save discount in exchange for predictable repeat orders is a common pattern.
How many competitor pages can Monetisation watch?
Growth watches up to 10 competitor pages and Scale up to 50. Pages are checked for changes and the changes appear next to your own revenue data.
See what your own site is leaving on the table
A sample audit reads your public pages and returns the first three opportunities with estimates and methods. About a minute, no card.