An offline event business was optimizing campaigns to cost-per-lead — and leaving real profit on the table. The fix was measuring money, not leads.
Why optimize to profit instead of cost-per-lead? For this event campaign, connecting CRM revenue and ad cost into Google Analytics shifted the focus to profitability — selling 8,000 tickets in five months at an average 181% ROI, and proving pricier leads can be the most profitable.
Campaigns were being judged on cost per lead. On paper, the cheap leads looked best — so that's where budget flowed.
But ticket sales and revenue told a different story: some of the “expensive” leads were the ones that actually bought, and bought big.
Without revenue and transaction data wired into the analytics, the team was optimizing toward the wrong number.
Implemented eCommerce tracking in Google Analytics, imported CRM revenue, and connected ad cost — one view of spend and profit.
Moved optimization off cost-per-lead and onto profit drivers: cost per transaction, revenue and ROI/ROMI.
Let the revenue data, not the CPL, decide which campaigns and audiences deserved more budget.
Kept and scaled the campaigns that actually sold tickets profitably — even when their leads looked expensive.
Optimizing to profit instead of cost-per-lead surfaced a counter-intuitive truth: some of the higher-CPL leads were the most profitable of all. The takeaway — never pause a campaign on CPL alone; measure transactions, revenue and deal timing.