Executive summary
UK gadgets store is a gadgets brand operating on Shopify in the UK. They engaged BeingEcom to solve a specific problem - brand new store, no historical data, flat creatives - and to build an operating model that would keep compounding after the engagement ended. Across 90 days, we shipped a full ads programme (3 core workstreams), instrumented measurement against a trailing 60-day baseline, and delivered 2.6× on roas alongside supporting lifts in mrr, roas, to scale.
Where UK gadgets store was stuck
Brand new store, no historical data, flat creatives. On a Shopify store operating in gadgets, that pattern shows up as a plateau: paid spend rising, blended margin falling, and the operator making decisions on gut feel because no scorecard existed for ads.
The four blockers we found
- Brand new store, no historical data, flat creatives.
- Gadgets competitors were compounding advantage on the exact creative angles and audiences UK gadgets store was ignoring.
- No repeatable ads scorecard - decisions were made on gut feel rather than a weekly profit-per-order readout.
- Internal bandwidth was spent on execution inside Shopify, leaving no room for strategy, measurement or the 90 days sprint the numbers actually needed.
The 5-phase ads system we ran for UK gadgets store
Every BeingEcom ads engagement follows the same five phases so accountability, measurement and handover stay clean. Below is how each phase mapped to UK gadgets store's 90 days sprint.
1. Discover
Two-week diagnostic of UK gadgets store's Shopify storefront, gadgets category dynamics, and the exact pain: brand new store, no historical data, flat creatives. We shadowed the operator, pulled 60 days of baseline data and mapped every gap between the current state and the 2.6× outcome.
2. Diagnose
Root-cause analysis across account structure, creative library, audience overlap and pixel hygiene. Findings were prioritised by revenue impact so the sprint budget landed on the creative velocity and profit-based pacing that would move roas fastest.
3. Design
We shipped the plan as an execution brief: UGC angle stack across 5 personas; ASC with broad cold + lookalike layer; Daily creative refresh on top 3 winners. Every line item was tied to a hypothesis, a target metric and an owner. The brief was reviewed with UK gadgets store before a single change went live.
4. Deploy
Build phase covered campaign restructure, CAPI hardening and a rolling creative pipeline. Ship cadence was weekly, with a Loom walkthrough every Friday so UK gadgets store always knew what changed and why. Rollbacks were pre-scripted for any change that touched revenue-critical surfaces.
5. Measure
A single ads scorecard reconciled Shopify revenue, Meta and Google spend, and email revenue side-by-side. The 2.6× roas figure is measured against the trailing 60 days pre-engagement, reported in the same units UK gadgets store uses for board meetings.
Week-by-week plan across 90 days
Tools, platforms and ownership
The stack was designed so UK gadgets store's internal team could keep operating it post-handover. No proprietary black boxes.
Shopify (optimised in place)
GA4 with Meta CAPI and server-side events
Klaviyo flows and segmented broadcasts
Meta Ads Manager, Google Ads, TikTok Ads Manager
TripleWhale for blended ROAS, GA4 for cohort validation
Motion for creative reporting, Foreplay for research, Frame.io for review
Measurement framework
Every uplift is measured against the trailing 60 days before kickoff - not the same month last year. Revenue reconciled in Shopify; spend reconciled in Meta and Google Ads; the two joined in a single weekly scorecard we shared with UK gadgets store's founder on Fridays.
Methodology: figures reported from client-owned Shopify, GA4 and Klaviyo dashboards across the full 90 days engagement. Baseline is the 60-day period immediately prior to kickoff. Individual results vary by category, margin and starting position - anonymised source data available on request under NDA.
What each number actually means
Recurring revenue at £62k is what the ads programme is being paid to deliver. This is the number the board tracks.
Blended return on ad spend at 2.6× means every £1 into paid media returned 2.6x in trackable gadgets revenue - measured across Meta and Google, not siloed by platform.
90d on to scale - a category-specific lift that fed the headline 2.6× roas outcome.
Headline lift: 2.6× on ROAS
Result after 90 days, measured against the trailing 60-day baseline pre-engagement.
A repeatable ads operating model
UK gadgets store now runs the same ads scorecard weekly, ships the same execution cadence, and forecasts revenue from a system that behaves the same way whether the founder is in the office or not. The 2.6× roas number is the headline; the durable advantage is the operating model behind it.
"Ship the messy version. You'll learn more in a week than in a month of polish."
Questions about the UK gadgets store engagement
How did BeingEcom lift UK gadgets store's paid-media performance?
The Meta and Google account was restructured around ugc angle stack across 5 personas, then paired with asc with broad cold + lookalike layer. Reporting moved from last-click ROAS to profit-based pacing so UK gadgets store could compare cohorts weekly rather than reacting to daily noise.
What was the timeline from kickoff to the 2.6× roas outcome?
The engagement ran 90 days. Discovery and diagnosis took the first 1-2 weeks, build and deploy dominated the middle, and the last third was measurement, iteration and handover. UK gadgets store saw early signal inside the first 30-45 days, with compounding gains through the full window.
How was the roas number of 2.6× measured?
We used Shopify native reporting for revenue, GA4 for session and cohort behaviour, and Meta / Google Ads managers for spend attribution - reconciled monthly in a single scorecard. All uplift is measured against the trailing 60-day baseline before we started, not the same period last year, to strip out seasonality.
What was actually broken at UK gadgets store before we started?
Brand new store, no historical data, flat creatives. The knock-on effects were unpredictable weekly numbers and marketing spend that couldn't be tied to profit - the classic pattern for gadgets brands stuck between £30k and £150k/month.
Which tools and platforms did BeingEcom use on this project?
Core stack: Shopify for the storefront, GA4 with Meta CAPI for tracking, Klaviyo for email flows, and category-specific tooling for Ads - Meta Ads Manager, Google Ads, Motion for creative reporting, TripleWhale for attribution and Foreplay for creative research. Everything was configured so the UK gadgets store team could keep operating it post-engagement.
Can a similar gadgets brand expect the same 2.6× lift?
Uplift depends on starting baseline, margin and category maturity. UK gadgets store started from a specific pain point (Brand new store, no historical data, flat creatives), so the delta looks large. A brand already running a clean ads programme would expect smaller absolute gains but the same directional wins. We share honest range estimates during the audit.
Were the wins durable after the engagement ended?
Yes. Every playbook was documented, every dashboard was owned by UK gadgets store's internal team, and standard operating procedures were left in place for creative production, ads reporting and iteration. The compounding side of Ads - learning-phase efficiency - continued after handover.
What is the biggest lesson from the UK gadgets store project?
"Ship the messy version. You'll learn more in a week than in a month of polish." That principle now shapes how we scope every new gadgets engagement.
How do I get a similar plan for my gadgets store?
Book a free ecommerce growth audit at /audit. We benchmark your funnel against the UK gadgets store case and 30+ other UK Shopify and WooCommerce engagements, then send back a written 30/60/90 plan - no pitch deck, no lock-in.