Amount Spent $5,542.92
Leads Generated 2,256
Cost per Lead (CPL) $2.46
Qualified Leads 1579
AOV: $50
Revenue: $78590
ROAS: 14.24x
Amount Spent $6079
Leads Generated 2833
Cost per Lead (CPL) $2.15
Qualified Leads 2266
AOV: $50
Revenue: $113320
ROAS: 18.64x
Issues Faced By Brand Before:
Not able to generate enough leads
Struggling to scale more branches in United States
Had a limit of spending $6000/ month only
No Creative strategy
No Campaign Strategy
How theadvibe team solved the issue:
Get a clear offer and simplified accounts campaign structure
Led to decrease in cost per lead and received more orders
Implemented Funnel based creative strategy and ran whatsapp and lead form based campaigns to re-engage with the audience
Launched retargeting and lookalike based audiences to improve the conversion rates
Amount Spent: $71,061
Leads: 3988
Cost per Lead: $17.82
Amount Spent: $78,455
Leads: 4758
Cost per Lead: $16.49
High CPL limiting scalable lead acquisition
Lead volume plateau despite consistent spend
Inefficient audience targeting causing wasted budget
Weak signal quality from existing data pools
Suboptimal campaign structure restricting Meta’s optimization
Consolidated campaigns to leverage Meta’s algorithmic learning
Deployed 1–5% high-quality lookalike audiences from converted leads
Refined creatives aligned with high-intent automotive buyers
Improved lead form flow to reduce drop-offs and friction
Scaled budget gradually while maintaining cost efficiency metrics
Amount Spent: $36,094
Leads: 1814
Cost per Lead: $19.89
Amount Spent: $49,246
Leads: 2148
Cost per Lead: $22.94
Wanted to increase budget but scaling was not profitable before
Leads quality reduced & cpl shoot up by 50%
Restructured campaigns to prioritize high-converting audiences and reduce budget leakage
Introduced stronger creative angles tailored to mental health intent and trust signals
Optimized lead form and funnel flow to improve conversion rate and lead quality
Amount Spent: £3,125.30
Leads: 282
Cost per Lead: £11.08
Amount Spent: £5,316.34
Leads: 446
Cost per Lead: £11.92
Lead volume was low (282) limiting patient acquisition scale
Budget utilization was inefficient for growth-focused scaling
Slight CPL increase risk while increasing spend
Scaled budget strategically while maintaining stable CPL range
Optimized targeting with high-intent and lookalike audiences
Improved creatives with stronger trust, results, and before-after proof angles
Amount Spent: $5439
Purchase: 230
ROAS: 2.96x
Cost Per Purchase: $23.65
Revenue: $16,108
Amount Spent: $6500
Purchase: 221
ROAS: 3.44x
Cost Per Purchase: $29.41
Revenue: $22,388
Acquisition became less profitable as CAC rose faster than order volume
Traffic quality dropped, leading to fewer purchases despite higher spend
Weak backend monetisation (AOV/LTV) limiting scalable, sustainable growth
Improved AOV via bundles, upsells, and pricing strategy to offset CAC increase
Tightened funnel (landing page + checkout) to recover conversion rate losses
Focused on retention (email/SMS/remarketing) to increase LTV and stabilize margins
Amount Spent: $6739
Purchase: 214
ROAS: 4.37x
Cost Per Purchase: $31.48
Revenue: $29,418
Amount Spent: $6819
Purchase: 317
ROAS: 7.11x
Cost Per Purchase: $21.58
Revenue: $48,513
Brand was over-discounting, hurting perceived luxury value and margins
Low conversion efficiency from generic traffic not aligned with premium buyers
Under-leveraged existing customer base, limiting repeat revenue and LTV
Repositioned offers to value-driven bundles instead of discounts to protect premium perception
Shifted focus to high-intent, affluent audience segments with premium-focused creatives
Activated retention systems (email/SMS flows) to drive repeat purchases and increase LTV
Amount Spent: $5,020.84
Purchase: 312
ROAS: 10.12x
Cost Per Purchase: $16.09
Revenue: $50,829.73
Amount Spent: $5605.49
Purchase: 347
ROAS: 13.39x
Cost Per Purchase: $16.19
Revenue: $74,497
Revenue was not fully maximized despite strong purchase volume (low monetization per customer)
Scaling risk due to dependency on similar buyer segments limiting new demand pockets
Backend (upsells, retention, continuity offers) underutilized, capping LTV growth
Increased revenue per user through optimized pricing tiers, upsells, and program packaging
Expanded audience depth with new segments while maintaining conversion stability
Built stronger backend systems (email/SMS/remarketing) to improve repeat purchases and LTV
Amount Spent: £ 749.09
Purchase: 11
ROAS: 5.77x
Cost Per Purchase: £ 68.10
Revenue: £ 4,324.00
Amount Spent: £ 2,276.38
Purchase: 58
ROAS: 9.62x
Cost Per Purchase: £ 39.25
Revenue: £ 21,894.39
High initial CAC (£68) made course acquisition unprofitable at scale
Low purchase volume (11 sales) indicated weak offer-market fit or trust gap
Revenue concentration risk due to lack of consistent, predictable conversion flow
Refined offer positioning and proof (results, testimonials, outcomes) to improve trust and conversions
Optimized funnel (landing page + webinar/VSL flow) to increase conversion efficiency
Scaled budget only after stabilizing CAC and conversion rate to ensure profitable growth
Amount Spent: $2,082.77
Purchase: 14
ROAS: 0.50X
Cost Per Purchase: $148.77
Revenue: $1,031.21
Amount Spent: $2,619.48
Purchase: 43
ROAS: 1.21X
Cost Per Purchase: $60.92
Revenue: $3,178.91
Business was operating at a loss (ROAS 0.50) with unsustainable acquisition costs
Extremely high CPA ($148) making scaling financially unviable
Low purchase volume (14) indicating weak demand capture and poor conversion
Rebuilt acquisition strategy to bring CPA down by 59% and restore unit economics
Improved conversion flow and offer clarity to significantly increase purchase volume (3x growth)
Scaled efficiently post-stability, driving 142% ROAS improvement and consistent revenue growth
Amount Spent: $7,900.33
Purchase: 172
ROAS: 14.65x
Cost Per Purchase: $45.29
Revenue: $114,149.32
Amount Spent: $9,932.93
Purchase: 492
ROAS: 34.01x
Cost Per Purchase: $20.19
Revenue: $337,820.40
High cost per purchase ($45) was limiting profitable scale
Revenue growth was constrained due to low purchase volume (172)
Reduced CPA by 55% through sharper targeting and conversion-focused funnel improvements
Scaled high-performing segments, increasing purchases by 186%
Optimized revenue strategy to 3x conversion value and boost ROAS from 14.65 to 34.01
Implemented a scalable creative and campaign strategy for different products available
Ran partnership based ads with influencers which resulted in to a profitable revenue
Amount Spent: $15,426.06
Purchase: 40
ROAS: 1.01x
Cost Per Purchase: $385.65
Revenue: $15,543.01
Amount Spent: $42,063.99
Purchase: 149
ROAS: 1.30x
Cost Per Purchase: $282.31
Revenue: $54,546.90
Extremely high CPA ($385) making acquisition unscalable and margins unviable
Weak funnel efficiency with major drop-offs from add-to-cart (957) to purchases (40)
Near break-even ROAS (1.01) limiting reinvestment and growth
Reengineered funnel to improve checkout conversion, driving 220% increase in initiated checkouts
Reduced CPA by 26% through sharper targeting and conversion-led optimizations
Scaled efficiently by improving purchase volume (3.7x) and lifting ROAS to 1.30 with stronger revenue flow