Craftcloud case study

Craftcloud wanted efficient, defensible growth on paid social. Commercially, the mandate was clear: grow revenue while keeping Meta ROAS in the 7–8 band as scale increased.

Under the surface, three bottlenecks held performance back:

• Architecture that diluted intent. Awareness campaigns ran on traffic or landing-page-view objectives; audiences overlapped; BOF was either missing or folded into MOF. Without a dedicated retargeting engine, frequency rose without a matching lift in conversions.
• Creative volume and cadence below learning needs. Ads ran for months without refresh, stalling discovery of hooks, formats and CTAs that lift CTR, CVR and CPA at each stage.
• Rising category demand not converted by paid social. The market was expanding and competitor social output was thin, but without audience-to-message fit and a clean structure, Craftcloud couldn’t capitalise.

Our approach was pragmatic and sequenced: fix account structure, align audiences to intent, install a creative operating system and let Meta work as one system from top to bottom of the funnel.

1) Rebuild the account around intent and control

• Awareness: one lightweight, super-broad campaign to sustain halo effects.
• Top of funnel: four campaigns by cohort—industrial clientele, indie designers and startups, hobbyists, academics and educators.
• Middle of funnel: brand engagers and website visitors focused on trust and education.
• Bottom of funnel: recent abandoners and lapsed abandoners with urgency and risk-reversal.
• CRM and retention: recent and lapsed purchasers with frequency caps to protect LTV.

We enforced exclusions between stages to avoid cannibalisation, safety-checked daily and moved budgets on a two-week look-back so spend tracked incremental profit, not habit. In parallel, a four-week stabilisation plan fixed audience overlap, set conversion objectives, split geographies, refreshed creatives every one to two weeks and tightened placement mix.

2) Map audiences to messages that remove friction

Each cohort saw benefits in their own terms:

• Industrial clientele: precision, scale, vetted network, instant quoting.
• Indie designers and startups: launch without a factory—no MOQs, rapid iteration.
• Hobbyists: better finish and strength than desktop prints.
• Academics and educators: fast, accurate prints for teaching and research.

Bottom-of-funnel copy cut anxiety to the bone: “Instant quotes. No mark-ups. No nonsense.” with turnaround clarity, global shipping and third-party proof.

3) Install a creative operating system, not a one-off refresh

To win on social, we needed controlled volume and fast learning:

• Dedicated test budget of 20–30% with minimum per-asset spends to reach significance.
• Standalone test campaign, promote winners into BAU and cut losers quickly.
• Centralised asset library and naming conventions, a shared test backlog and bi-weekly creative reviews.

The asset roadmap matched how people evaluate complex services: time-lapse demos, case-study videos, comparison charts, configurators, customer-success galleries and expert explainers—mapped across awareness, consideration and conversion.

We grounded creative strategy and messaging in market reality through review mining, Reddit analysis and competitor teardowns, focusing on speed and efficiency, quality and precision, transparent pricing and pain points like inconsistent quality or delays.

4) Creative diversity to unlock new pockets

We launched UGC testimonial variants for underserved cohorts—jewellery and fashion designers, academic institutions, medical engineers focused on prosthetics and device housings, aerospace hobbyists and pop-culture prop makers—each with domain-specific proof and tailored CTAs. We tested within the standing test budget and promoted winners into BAU.

Within the first operating cycle, the programme shifted from isolated strengths to a compounding system.

Headline commercial impact

• 25% overall ROAS uplift 
• 15% drop in CAC as higher-quality traffic flowed into MOF and BOF.
• 12% revenue growth delivered on disciplined, channel-true scaling.
• 40% uplift on BOF budget, while maintaining target efficiency, unlocking incremental orders without discounting.

Audience and funnel economics

• Retargeting efficiency at scale. Splitting BOF by intent (product viewers, carts, checkouts) and sequencing creative—UGC, features carousel, testimonial—kept frequency in check and preserved efficiency while scaling.
• Prospecting quality up. Interest-based cohorts became the primary cold engine after pausing weak lookalike seeds and rebuilding from recent high-value buyers. Broad remained viable only when paired with winning UGC, proving creative can pre-qualify better than brittle micro-segmentation.
• Throughput improved across the funnel. Top of funnel produced higher-intent clicks, mid-funnel assets built trust faster and bottom of funnel converted more of the demand we created, without resorting to blunt discounting.

Creative drivers of growth

• UGC problem/solution videos with question-led hooks delivered 3× higher engagement than static and lifted downstream conversion.
  
• Features carousels mapped capability to outcome and served as the explain layer.
  
• Video testimonials closed the loop for evaluators.
  
• Soft CTAs such as “Learn more” beat hard CTAs at top of funnel, improving click quality and eventual conversion rate.
  
• We retired generic product shots and text-heavy statics, consolidating spend into winners and near-variants.