Isn't a lower cost-per-lead always better?

No — and that's the trap. Across 150+ events and $11M+ in tracked revenue, our own analysis found no correlation between cost-per-lead and profitability (r = 0.00). We optimize toward cost-per-buyer, the number that actually tracks profit.

Do you run the ads, or just advise?

We run them. We build the tracking and lifecycle infrastructure, then operate the acquisition on top — on a model where we only win when you grow.

How do you fix broken tracking?

We audit the whole measurement stack — pixel, GTM, server-side events, conversion deduplication — before we spend a dollar scaling. Bad data makes every optimization a guess.

What channels do you work in?

Primarily Meta and Google for paid, plus email and SMS for lifecycle. We go where your buyers are, not where a template says to.

Jump sections

Services / B2C Growth

Growth that compounds — not just spend that disappears.

Anyone can buy attention. We build the full engine — acquisition, lifecycle, conversion, and the tracking that keeps it honest — then we operate it.

Let's build something

Most brands optimize toward the wrong number.

Cost-per-lead and cost-per-click are easy to measure, so that's what gets chased. But they don't tell you whether you're making money — and optimizing toward them can quietly cancel the exact campaigns that were working.

We know this because we checked. Across a portfolio of live campaigns spanning 150+ events and more than $11M in tracked revenue, cost-per-lead showed no correlation with profitability. The metric that actually predicts profit is what it costs to acquire someone who pays — and that's what we build tracking for.

The practical consequence: before we touch a campaign, we wire up measurement all the way to the buyer. Optimization without instrumentation is just expensive guessing.

Impressions

Clicks

Leads

Most agencies stop here

Purchase intent

Buyers

r = 0.00correlation between CPL and profitability — across 150+ events

What the data said

150+ events. $11M+ in tracked revenue. Fully instrumented.

We instrumented the full funnel across a multi-market live-events operator and looked for the relationship everyone assumes is there: cheaper leads, more profit. There was none. Cost-per-lead showed zero correlation with profitability — r = 0.00. Optimizing it harder would have changed nothing about the bottom line.

What actually drove the business was volume and the quality of downstream conversion — and we only know that because we measured instead of assumed. That's the whole methodology in one finding: instrument first, then optimize toward the number that actually matters.

r = 0.00

Correlation between cost-per-lead and profitability across 150+ events.

$11M+

Tracked revenue analyzed to find the real growth lever.

This finding underpins our growth-engineering method — the framework we operate on every engagement.

The full journey

Every stage instrumented. Nothing left to guesswork.

We build for the whole path from cold stranger to repeat buyer — and wire measurement through every step.

01→

Stranger

Paid social + search

Cold reach built on clean server-side tracking so every dollar is accountable.

02→

Aware

Retargeting

Keep you in frame while they consider — before a competitor fills the gap.

03→

Interested

Email + SMS

Lifecycle flows that do the patient work between sessions.

04→

Convinced

CRO + proof

Conversion optimization and social proof that close the final gap.

Buyer

Retention engine

The infrastructure that turns one purchase into a relationship.

What we build and operate

Four layers. All of them connected.

Paid acquisition built on real data.

Meta and Google campaigns running on server-side tracking — CAPI, clean GTM, deduplicated conversions — so the numbers you optimize against are what actually happened.

Paid acquisition built on real data.

Meta and Google campaigns running on server-side tracking — CAPI, clean GTM, deduplicated conversions — so the numbers you optimize against are what actually happened.

A lifecycle engine that compounds.

Email and SMS flows that capture the signal at every stage and work between purchases. The retention side is usually where the real margin is.

A lifecycle engine that compounds.

Email and SMS flows that capture the signal at every stage and work between purchases. The retention side is usually where the real margin is.

Conversion optimization where it counts.

Product pages, landing pages, checkout — the places where spend either becomes revenue or disappears. We test into what closes, not what looks good in a deck.

Conversion optimization where it counts.

Product pages, landing pages, checkout — the places where spend either becomes revenue or disappears. We test into what closes, not what looks good in a deck.

The measurement layer underneath it all.

We build tracking to cost-per-buyer and contribution margin, not cost-per-lead. That means you steer by numbers that actually predict profit.

The measurement layer underneath it all.

We build tracking to cost-per-buyer and contribution margin, not cost-per-lead. That means you steer by numbers that actually predict profit.

Questionsbuyersask

“

I've worked with Lightdrop on multiple projects over the last 5 years and am always amazed with the level of strategy, guidance and execution they bring to the table. Lior and his team are masters in digital and brand marketing.