E-commerce & fashion
Paid social built around your next sale—and the economics behind it.
ROASCORE's strongest specialization is Meta Ads for established online stores, including European fashion brands. The work covers campaign structure, creative hypotheses, landing decisions and the measurement needed to judge any of it honestly.
Situations we recognize
- 01
Sales exist, but acquisition cost has climbed and nobody can say which change caused it.
- 02
One creative carried the account for months and performance dropped when it fatigued.
- 03
Traffic lands on a collection page when the ad promised one specific product.
- 04
Platform-reported revenue and the numbers in the store's back office no longer agree.
- 05
Discounting has become the only reliable lever, and margin is quietly disappearing.
- 06
Returning customers are counted as new acquisition, which flatters the reported return.
Acquisition strategy
Meta Ads is the core channel. TikTok, Pinterest and Snapchat are added when audience, creative assets and budget justify them — not as an automatic all-platform bundle.
Campaign structure
Structure follows how the catalogue actually sells: which products carry demand, which need explanation, and which margins can absorb acquisition cost. Budgets are consolidated enough to learn and separated enough to read.
Creative hypotheses
Every creative tests a stated idea: an objection, a use occasion, a product detail, a proof element. Production scope is agreed explicitly, since ROASCORE does not assume in-house photo or video production for your brand.
Product demand and landing decisions
Product page or collection page is a decision, not a habit. It depends on the ad's promise, price point, breadth of the range and whether the visitor needs to compare before choosing.
Tracking and remarketing
Event quality first: correct purchase values, deduplicated events, working catalogue feeds. Remarketing then serves people at a real stage instead of repeating the same prospecting message.
Conversion and follow-up workflow
What happens after the click decides whether the spend becomes revenue and whether that revenue repeats.
Illustrative workflow- 01Ad promise and landing content match on the first screen, on mobile first.
- 02Buying questions — sizing, materials, delivery, returns — answered where the decision happens.
- 03Checkout friction removed: fewer steps, costs shown earlier, verified on real devices.
- 04Order confirmation and delivery expectations set clearly to reduce support load.
- 05Permission-based post-purchase sequence: care or usage guidance, review request, considered next offer.
- 06Returning customers separated from new ones in reporting before targets are set.
What we measure
- Purchase ROAS, always with its attribution setting stated
- Customer acquisition cost, new customers only
- Average order value and units per order
- Conversion rate by device and by landing type
- New versus returning customer revenue share
- Margin inputs where the business can share them
Attributed revenue is not profit, and figures from different platforms should not simply be summed. Where a store's own analytics and the ad platforms disagree, we agree which source decides before setting targets.
Where AI can help a store
Only with approved content and clear boundaries. These are implementation examples, not a claimed portfolio of live deployments.
- Answering approved product questions: sizing, materials, care, delivery windows.
- Assisted shopping that recommends only from real, in-stock catalogue data.
- Routing order and delivery queries to the right inbox with the order reference attached.
- Permission-based cart or browse follow-up, with an easy opt-out.
No unsolicited messaging, no invented inventory or delivery dates, and a human escalation path for anything unusual. Every automation is supervised after launch, not switched on and forgotten.
See the demonstrationEvidence and honesty
Client results are published only with permission, a defined time window and a stated attribution basis. Until a case is approved, this page shows method, not numbers. If you want proof before committing, ask in the review and you will get an honest description of what can and cannot be shown.
Good fit
- An established store with existing sales history
- Stock depth and fulfilment capacity for more volume
- Willingness to share order data, margin ranges or at least product economics
- A clear position on discounting and brand presentation
- Someone responsible for creative assets or an agreed production scope
E-commerce questions
Do you produce the creative?
Creative production scope is agreed before we start. ROASCORE defines the hypotheses, briefs and iteration plan; whether assets are produced by your team, a supplier or an agreed collaborator is written into the scope rather than assumed.
Will you run every platform?
No. Meta Ads is the core channel and additional platforms are added only when the audience, assets and budget justify a second front. Spreading a small budget across four platforms usually buys data you cannot read.
Can you promise a specific ROAS?
No. ROAS depends on product, price, margin, market, seasonality and measurement quality. What we agree is a baseline, a review window and the evidence we will use to judge progress.
Do you work on the store itself?
Landing and conversion decisions are part of the work. Whether ROASCORE implements them or briefs your developer depends on your platform and the agreed scope.
Review your store's growth opportunities
Share the store, market and main obstacle. We identify three priorities across campaigns, landing experience and measurement from the information available.
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