What is blended ROAS for a consumer electronics store?
If you sell consumer electronics, blended ROAS is still all your revenue divided by all your ad spend. What changes is the line it has to clear. If your device margins are thin, break-even rises, so judge the blend on gross profit and keep launch weeks apart.
By Joris van Huët, Founder & CEOUpdated 5 min read
Run the numbers for your store: the free blended ROAS (MER) calculator.
If you sell consumer electronics, blended ROAS is still all your revenue divided by all your ad spend. What changes is the line it has to clear. If devices earn you a thinner margin than accessories, their break-even sits higher. So judge the blend on gross profit, and keep launch weeks apart.
If you sell consumer electronics
If you sell laptops, headphones, cameras or chargers, two kinds of product share one ad budget. The device is a big ticket that buyers compare on specs and price, often over several visits. The accessory is a small add-on that rides along or gets bought again. Their margins can sit far apart.
Launches and sale events bunch demand as well. When a new model lands, searches and sales rise whether or not your ads changed. A blended ROAS taken that week mostly measures the launch. And if you also sell on a marketplace, some buyers your ads found will pay there, outside your store's figures.
What one store's data shows
One store's anonymised GA4 export, 1 January 2024 to 21 August 2026. It holds shares of revenue only: no ad spend, no order counts.
| What the export shows | Value | Source cell |
|---|---|---|
| Break-even line at a 40% margin (1 divided by 0.40) | 2.5x | Break-even sheet, 40% margin row |
| Journeys with 1 touch (0.5 days to buy) | 79.5% of revenue | Journeys sheet, 1 touch row |
| Journeys with 4 to 9 touches (16.9 days to buy) | 5.4% of revenue | Journeys sheet, 4-9 touches row |
| Journeys with 10 or more touches (16.0 days to buy) | 3.0% of revenue | Journeys sheet, 10+ touches row |
Store A is one store, and nothing in its export says it sells electronics. Read it as a contrast, not a forecast.
The Break-even sheet works one margin through: at 40%, 1 divided by 0.40 gives 2.5x. If a device leaves you less than that, its line sits higher. For illustration, at a 20% margin the line is 1 divided by 0.20, or 5x.
The slow rows show what long research looks like in that store. On the Journeys sheet, journeys of 4 to 9 touches took 16.9 days, and journeys of 10 or more took 16.0 days. If your buyers compare specs for weeks, more of your revenue will sit in rows like those.
Most of Store A's revenue moved fast: 79.5% came from one-touch journeys that took 0.5 days (Journeys sheet). A charger grabbed on the way past looks like that. A laptop researched for a fortnight does not.
What the export cannot show is a blended ROAS for that store, or anything about electronics. It holds no spend and no product split.
What changes for an electronics store?
The line. One blended ROAS mixes products with very different margins, so no single target fits them all. Divide gross profit by ad spend instead, and break-even is simply 1, whatever the mix. Shopify reports gross profit only for products that had a cost recorded when they sold.
The calendar. Compare a launch month with the same month last year, not with the month before. Shopify's reports let you compare a date range with a previous one, so the launch sits on both sides.
The scope. Decide once whether marketplace sales belong in your blend. If they do, their fees and ad costs belong in the spend line too. If not, accept that the blend undercounts what your ads started.
The returns. An opened device that comes back takes its sale with it. Net sales takes sales reversals off, so a return lowers the ratio instead of hiding inside it.
What to do this week
- Calculate a profit blend for last month. In Shopify, go to Analytics > Reports, filter the Category to Profit Margin and open Gross profit by product. Add up gross profit and divide by last month's total ad spend. Pass: the result sits above 1, with costs recorded for your devices. Fail: device rows are missing, because those products had no cost recorded when they sold.
- Split devices from accessories. Open Total sales by product for the same month and sort the products into the two groups. Pass: you know each group's share of net sales and gross profit. Fail: one number covers both, so a busy accessory month can hide device ads that lose money.
- Set launch months against last year. In Total sales over time, compare your last launch month with the same month a year earlier. Pass: you judge the blend against the same season. Fail: you compare a launch month with a quiet one and credit the ads with the launch.
Check the homework. Your GA4 Attribution paths export already holds the evidence. Causality Engine reads that one file and shows what each channel caused next to what last-click gave it, in 1 to 2 minutes, for €99 once (excluding VAT), refundable within 30 days. Check the homework
Sources, 1 October 2026: Profit reports (Shopify Help Center); Sales reports (Shopify Help Center); Setting and comparing time ranges for your reports (Shopify Help Center).
Related answers
Frequently asked questions
Should accessories and devices share one blended ROAS?
Track one blend, but read it by product group. A device with a thin margin needs a far higher ratio than an accessory to break even. Divide gross profit, not revenue, by ad spend, and the break-even line becomes 1 for every mix.Should a launch week count in my blended ROAS?
Count it, but do not judge the ads on it. A new model lifts searches and sales whether or not your ads changed. Compare the launch period with the same period of last year's launch, and keep a quiet month as your reference.Do marketplace sales belong in an electronics store's blended ROAS?
Only if their costs come with them. If your ads push buyers to a marketplace, those sales are real, but so are the fees and any marketplace ads. Pick one scope, write it down and keep it, or the ratio will drift with your sales mix.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- Ad SpendAd Spend is the total amount invested in advertising campaigns. It is measured against Return on Ad Spend (ROAS) to evaluate campaign effectiveness.
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- ClickClick is the action a user takes to interact with a digital advertisement, redirecting them to a website or landing page. Clicks are a fundamental metric for measuring ad engagement and a primary input for click-based attribution models.
- Profit MarginProfit margin measures profitability, calculated as net income divided by revenue and expressed as a percentage.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.
- ShopifyShopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.