Note: Results vary by industry, offer, budget, seasonality, and tracking setup. These are examples from real campaigns.
Cost per Link Click: down to £0.14–£0.15 (with improvements shown from 12% to 50%)
Average CPC: as low as £0.06 (improvements shown around 6% to 32%)
Cost per Lead: as low as £1.39–£2.53 (improvements shown around 29% to 45%)
Cost per Purchase: down to £4.74–£15.57 (improvements shown around 37% to 79%)
Reach: up to 271K (with improvements shown up to 154%)
Website Leads: examples showing 68, 74, 278, 456, 478 leads (with increases shown from 30% to 79%)
Purchases: examples showing 76, 107, 134 purchases (with increases shown from 60% to 85%)
Purchase ROAS: examples shown at 9.17, 14.28, 20.10, and 28.66
One snapshot shows Purchase ROAS: 22.82 with CPC (all): £0.05
One snapshot shows Purchase ROAS: 408.64 with 17 purchases and CPC (all): £0.06
(High ROAS results typically depend on offer, attribution, brand demand, and spend levels.)
When lead costs fall, you can do two things:
generate more leads with the same budget, or
keep lead volume steady and improve profit margins.
Examples shown:
456 website leads with £1.39 cost per lead
278 website leads with £1.45 cost per lead
54–63 website leads in recent reporting windows with ~£2.15–£2.29 per lead and modest spend (£115.92–£144.16)
This is what “performance” looks like in the real world: not magic > controlled costs + repeatable volume.
For ecommerce, you don’t win by “getting traffic.” You win by getting the right clicks, then converting them.
Examples shown:
134 purchases, £4.74 cost per purchase, 28.66 ROAS, £18,185.64 purchase value
76 purchases, £5.30 cost per purchase, 20.10 ROAS, £8,098.87 purchase value
11 purchases with 9.17 ROAS and £15.57 cost per purchase
14 purchases with 14.28 ROAS and strong uplift indicators across the board
The pattern is consistent: better economics first (CPC/CPL/CPP) → then scale.
Most agencies stop at “campaign optimisation.” I don’t.
You can’t out-target a weak page. That’s why we run conversion improvements alongside ads.
Split test example shown:
Control opt-in rate: 17.44%
Variation opt-in rate: 17.86%
Second test example: 17.43% (control) vs 17.79% (variation)
Even small lifts in conversion rate compound into:
lower cost per lead/purchase
more sales at the same spend
a bigger ceiling when you scale budgets
Most ad accounts don’t have an “ads problem.” They have a system problem:
tracking and events aren’t clean
campaigns are structured for “activity,” not outcomes
creative testing is random
landing pages don’t match intent
no offer-angle-market fit loop
Make the numbers work—then scale.
That means relentlessly improving the metrics that actually move profit:
CPC / Cost per Link Click
Cost per Lead / Cost per Purchase
Conversion rate (site + funnel)
Purchase value and ROAS (where tracking allows)
This is a fit if you want:
consistent lead flow (service business)
profitable scaling (ecommerce)
a partner who tests creatives and landing pages, not just audiences
reporting that’s about business, not vanity metrics
Not a fit if you want:
“set and forget”
inflated promises
an agency that rotates juniors through your account every month

Barrie Le Gall is the founder of FoundUB4, a UK-based paid media and growth strategy consultancy. I help service businesses, coaches, consultants, and DTC brands grow with Meta ads (Facebook and Instagram), TikTok ads, booking funnels, and conversion-focused strategy. If you are looking for a hands-on ads manager or fractional growth partner, book a discovery call.
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