Ecommerce performance marketing runs Shopping ads and paid social scoped months ahead of festive or seasonal demand windows, ramping budget 2-3 weeks before peak so the algorithm has time to optimise. This exact approach drove Bakingo's 4.1X festive order volume.
What's included?
- Google Shopping and paid social campaigns tied to peak-season windows
- Gradual budget ramp, 2-3 weeks ahead of peak, not a sudden spend spike
- ROAS and order-volume reporting for each defined peak window
Evidence: real ecommerce results
The honest problem with most ecommerce ad accounts
Most accounts we inherit are not short of budget. They are short of a plan. Spend goes up the week a sale starts, the algorithm has no recent data to learn from, and cost per order spikes at exactly the moment it should be falling. Then the account gets judged on a blended ROAS number that hides which products actually made money.
We run it the other way round. Budgets ramp two to three weeks before a peak so campaigns have learnt what converts before the rush. Product feeds get cleaned so the right items show for the right searches. And we report on contribution margin after ad spend, because a 4x ROAS on a low-margin product can still lose money.
Why the channel mix has changed
Retail media is now a serious channel in its own right. Amazon alone reported around $68 billion of advertising revenue in 2025 (Marketing Dive, 2026), which tells you how much ecommerce spend has moved to where people shop, not just where they search. For most brands we still start with Google Shopping and Meta, then add marketplace ads when the product and margins support it.
Tracking has also got harder. Apple's App Tracking Transparency changes cost Meta an estimated $10 billion in revenue in 2022 alone (CNBC, Feb 2022), and the knock-on effect for advertisers was weaker attribution. That is why we set up server-side conversion tracking and check platform numbers against your actual orders every month.
Checkout friction eats paid traffic. Baymard Institute puts the average documented cart abandonment rate at 70.22%, and 40% of people who abandon at checkout say extra costs were the reason (Baymard Institute). Show delivery costs early and a chunk of wasted spend comes back.
What a typical engagement includes
- Product feed audit and rebuild, including titles, attributes and custom labels by margin
- Shopping and Performance Max structure split by margin band and stock depth
- Meta prospecting and retargeting with creative refreshed every two to four weeks
- A peak calendar agreed three months ahead, with budget ramps written down in advance
- Monthly review against orders, new customers and margin after ad spend
The approach is the same one behind Bakingo's 4.1X festive order volume and FlowerAura's 2.6X peak-season conversion lift. If your checkout is leaking, pair this with conversion rate optimisation before you scale spend.