Most ecommerce brands never get their advertising much past average. Across 2025, the typical ecommerce account returned about 2.87x on ad spend, according to Triple Whale's full-year data from more than 35,000 brands. Shopify calls 4x the ideal starting point for profitable scaling, and even that is getting harder to hit as media costs keep climbing.

So when a new ecommerce paid media strategy takes an account into double digits in its first 3 months, it's worth looking at exactly how.

The Stripes Company came to us to rebuild their digital precense. This started with a new website focused on UX and conversion, then led into campaigns to drive traffic and growth. Summer, their peak season, was already on the way.

What follows is the month by month story of how we rebuilt the account across Google, Meta and Pinterest. There's no magic here and no single clever trick. Just a deliberate order of operations: build the foundation first, prove what works, then scale hard into it. If you run an online store and your ads have never quite delivered, this is the approach that turns that around.

Why most ecommerce paid media strategies stall before they scale

Here's the short version. Most accounts fall short of their targets because they scale before they've earned the right to. Budget goes in early, the platform's optimise against thin or messy data, and efficiency quietly leaks away.

Put simply, an ecommerce paid media strategy is the plan for how a store spends across paid channels like Google, Meta and Pinterest to acquire customers profitably. The strong ones share a trait: they sequence the work instead of switching everything on at once.

The numbers show how little room there is for error. With the average ecommerce account near 2.87x ROAS and 4x treated as the benchmark for healthy, profitable scaling, a few weeks of wasted spend can be the difference between growth and a loss. Paid media costs have risen year on year, which only tightens that margin.

A strong approach treats the opening weeks as a data-gathering exercise, not a sales sprint. You feed each platform clean signals about who actually buys, then you scale into what the data proves. Skip that step and you pay premium auction prices to teach the algorithm the wrong lessons, which is expensive to unlearn later. It's the difference between how we approach paid media and simply switching campaigns on.

Month 1: build the foundation before you spend

The tempting move when we took on The Stripes marketing in May was to throw budget at the season and hope. We did the opposite.

First, we switched off several of the previous campaigns that were performing well below any sensible threshold. That freed up budget without adding a penny. We redirected it into a tightly controlled Manual CPC campaign with a strict maximum cost per click.

Think of that as a data-gathering shield. By capping the bid, we stopped Google's AI overbidding on irrelevant searches while we mined the exact terms real customers were using. The first lesson in how to scale ecommerce ads is counter-intuitive: at the very start, you deliberately don't. You gather.

Once the data was cleaner, we launched a Performance Max campaign built around the summer range. It reached a 94.1% optimisation score, the highest the account had ever recorded. Early on, Google was already running a 10.75% interaction rate and a 5.97% conversion rate.

Pinterest went live for the first time with a Consideration campaign to warm the pixel, landing a 1.16% click-through rate at a low cost per click. It was cheap, high-volume traffic whose only job was to teach the pixel what an interested Stripes shopper looks like.

Meta stayed deliberately dark. We held it back while its pixel and Conversions API gathered enough event data to model audiences properly. Launching retargeting before a platform has the events to support it is one of the fastest ways to waste money, so we waited for the threshold rather than forcing it.

None of this looks impressive on a dashboard. Foundations rarely do. But every pound spent later was about to work harder because of it.

Month 2: Performance Max for ecommerce turns data into revenue

June is where the patience started paying back.

On Google, the account shifted from gathering data to scaling. The interaction rate climbed to 14.75%, the conversion rate to 7.66%, and ROAS reached 13.71x. To put that in context, it's close to 5 times the ecommerce average.

Performance Max for ecommerce did the heavy lifting. The core summer campaign held a 92.74% optimisation score and returned 11.77x across its asset groups at a 6.77% conversion rate. With that engine running, we opened 2 new Performance Max campaigns on 16 June, covering beach products and deckchairs. Both entered their learning phase carefully, and the beach campaign was already showing an 11.92x ROAS at an 88.06% optimisation score.

Pinterest graduated too. We moved Pinterest ads for ecommerce off pure awareness and into Conversion and Catalogue Sales, feeding products dynamically from the Shopify catalogue so shoppers saw the most relevant variations automatically. It returned 12.28x ROAS at a 1.24% click-through rate, with cost per outbound click at £0.33. One thing we flagged for the next month: a healthy number of add to baskets weren't yet converting to checkout, so closing that gap became a priority.

And Meta finally went live. Our first test of Meta ads for ecommerce focused on the Outdoor Accessories range and delivered a 2.93% link click-through rate at a £0.47 cost per link click, producing 31 purchases at a £13.90 cost per result. When a creative underperformed, we switched it off on 21 June rather than let it drain budget. Small, quick decisions like that protect the average.

Month 3: scale what works, cut what doesn't

By July the account was operating at real volume, and the discipline held.

Google served 181,800 impressions and drove 5,761 interactions at a 2.86% click-through rate. The summer Performance Max campaign returned 6.76x overall, but the asset group detail is where it gets interesting: 13.74x on linen tablecloths, 13.38x on luggage racks, and 8.19x on picnic mats. The brand search campaign, as you'd expect from people already typing the name, pulled a 38.17% click-through rate.

Pinterest kept its efficiency as spend grew, holding an 11.33x ROAS across 163,900 impressions, with cost per outbound click dropping to £0.21 and 53 checkouts recorded. Efficiency that improves as you scale is rare, and it's usually a sign the earlier warm-up did its job.

Meta scaled across 3 ad sets and produced 71 purchases at a £15.63 cost per result and a 2.00% click-through rate. The Outdoor Accessories set led the way at a 2.91% click-through rate and an £11.56 cost per result.

Where the sales actually came from

The device split told its own story. On the summer Performance Max campaign, mobile drove the majority of conversions, and on Meta, the iPhone alone accounted for more purchases than every other device combined. For a brand selling garden and outdoor products in summer, that's people browsing in the garden, at the beach, or on the sofa, not at a desk. It's a useful reminder to check your creative and landing pages on a phone first.

Not everything was smooth, and that matters. A new Standard Shopping campaign drove strong click volume but showed a dip in direct conversion rate. We didn't ignore it. A negative keyword framework went on straight away, a search term audit followed, and we lowered maximum CPC bids to stretch efficiency. Scaling and scrutiny at the same time is the whole job.

The ecommerce paid media strategy behind the results

Strip out the individual figures and a pattern emerges. Across all 3 platforms, ROAS held in double digits for most of the quarter, well above the 2.87x ecommerce average and comfortably past Shopify's 4x mark. Growth without a collapse in efficiency is the hard part, and it doesn't happen by accident.

If you want to repeat it, the ecommerce paid media strategy comes down to 3 habits:

• Build before you scale. The Manual CPC shield and the slow May warm-up meant every pound later worked from real audience data, not guesswork.
• Let each platform play its role. Pinterest warmed up, then converted. Google carried the purchase intent. Meta waited until its data was ready, then earned its place.
• Cut fast, optimise weekly. Underperforming campaigns and creatives got turned off, not defended. The winners got more room to run.

None of it is flashy. It's a considered, patient approach applied consistently, then scaled the moment the data says go. The order matters as much as the tactics, and you can see the same thinking across the rest of our work.

What this means for your account

Three months in, The Stripes Company has an account performing well above benchmark, with a clean foundation under every campaign and clear room to keep scaling through the season.

The takeaways are simple. Build your data foundation before you spend at scale. Give each channel a specific job instead of asking all of them to do everything. And treat weekly optimisation as the work itself, not an afterthought.

To be honest, the hardest part is having the discipline to build properly before you scale, especially with a peak season bearing down. That's the bit we're good at, and very grateful to The Stripes in entrusting us with the strategy in peak seasonl.

If you're sitting on a relaunched site, a fresh pixel, or an ad account that has never quite delivered, we'd like to help. Get in touch and let's talk about your paid media.

What's a good ROAS for ecommerce?

Most sources put the ecommerce average near 2.87x, with 4x widely treated as the mark for healthy, profitable scaling. What counts as good depends on your margins: a high-margin brand can profit at 2x, while a tighter-margin store may need 4x or more just to break even. Judge it against your own numbers, not a single industry figure.

How long before new paid campaigns start performing?

Usually a few weeks. New campaigns go through a learning phase while the platform works out who converts, and Performance Max in particular needs enough recent conversion data to optimise well. Pushing budget too hard, too early tends to slow that down rather than speed it up.

Is Performance Max worth it for smaller ecommerce brands?

Yes, when the tracking foundation is solid and there's enough conversion history to learn from. Performance Max works best as the engine of a wider account rather than the whole account, ideally alongside a dedicated search campaign for high-intent brand and category terms. Feed quality matters more than budget size.

How do you scale ecommerce ads without losing ROAS?

Scale into proven winners gradually, keep fresh creative coming, and change one thing at a time so you can read the results. The account above grew spend across the quarter while holding double-digit ROAS because every increase followed the data rather than a calendar. Cutting weak campaigns quickly protects the average as you grow.

Should you run Google, Meta and Pinterest at the same time?

You can, but give each a clear role rather than duplicating effort. In this account Google carried purchase intent, Pinterest drove efficient mid-funnel traffic that converted, and Meta reactivated specific product ranges. Other platforms play their part and have their strengths as well, but we kept this article to the 3 we used on this project. Staggering their launches also lets each platform's tracking mature before it carries real budget.