Fractional growth, run as revenue

Paid User Acquisition at Scale

Google Ads, Meta, YouTube, TikTok, LinkedIn. $100M+ in cumulative ad spend managed. Channel mix discipline, creative velocity, and attribution that survives iOS 14+.

Elementor
100x
$200K to $20M ARR as acquisition lead, 2018-2020
Riverside
+337%
MRR growth driven as a growth operator
Across engagements
$100M+
ad budgets managed across paid social and search

Paid user acquisition that pays back, not just spends

Paid User Acquisition - Acquire Users Profitably

Most paid budgets buy clicks and signups, then stop measuring. I run paid user acquisition the other way. I start from the cohort, work back to the channel, and only scale spend that returns cash inside a payback window you can defend. The job is not to fill the top of the funnel. The job is to fill it with people who activate, stay, and pay.

I came up through performance, not brand. I managed $100M+ in budgets across paid search, paid social, and partner channels, and I drove Riverside +337% MRR by fixing the path from ad to activated account. That experience taught me one thing: paid user acquisition lives or dies on the data behind the click. If your attribution is broken, every dollar is a guess. So I fix tracking first, every time, before I touch a single bid.

My approach to paid user acquisition is built in four layers. First, measurement: server-side events, clean conversion definitions, and revenue stitched back to the source. Second, channel structure: campaigns split by intent so I can read what each segment costs and what it returns. Third, creative and landing: the message and the page that turn a paid visit into an activated user. Fourth, the cohort: I track each acquired group week over week so I know real payback, not blended CAC that hides the losers.

Blended numbers are where money leaks. A blended CAC of $200 can hide one channel returning at $80 and another bleeding at $600. I break paid user acquisition down to the campaign and the cohort, kill what does not return, and move budget to what does. Google and Meta optimize toward the conversion you feed them, so I make sure the conversion they chase is a paying user, not a free signup that never comes back. I follow the official guidance on smart bidding and conversion value so the platforms work for your revenue, not against it. See Google Ads smart bidding documentation for how value-based bidding actually behaves.

Speed to cash matters more than perfect targeting. I run paid user acquisition in tight loops: launch a controlled test, read the cohort, double down or cut within days, not quarters. I do not wait for a channel to "warm up" if the unit economics are already underwater. I would rather find the floor fast on a small budget than scale a leak. The whole point of paid user acquisition is to learn cheaply, then pour fuel on what already works.

I work as your Fractional Head of Growth, which means I own the number, not a slide. I sit between the ad accounts, the product analytics, and the revenue data, and I report on payback and retention by channel, in plain language. I took Elementor to 100x ARR by treating acquisition, activation, and retention as one system, not three teams pointing fingers. Paid user acquisition is the front door, but the house has to hold the people you bring in, so I always tie spend to what happens after the signup.

If your paid user acquisition is scaling cost faster than revenue, the fix is rarely a new channel. It is usually broken measurement, a leaky activation step, or budget stuck on a cohort that never pays back. From Traffic to Revenue is not a tagline; it is the order of operations. Send me your numbers and I will tell you where the money is leaking and what I would change first.

Related

Frequently asked questions

What does paid user acquisition actually include when you run it?

It covers measurement, channel structure, creative, landing pages, and cohort tracking as one system. I set up server-side conversions, split campaigns by intent, fix the activation path, and report payback by channel. I do not just buy clicks and hand you a dashboard. I own the number from first ad impression to paying, retained user, and I move budget based on real cohort returns.

How do you measure if paid user acquisition is working?

Cohort payback, not blended CAC. I track each acquired group week over week to see when spend returns as revenue, then compare that against your payback window. Blended numbers hide losers, so I break results down to the campaign and cohort, kill what bleeds, and scale what returns. I tie every dollar of spend to activation and retention, not just signups.

Which channels do you use for paid user acquisition?

Whichever return inside the payback window for your business, usually paid search, paid social, and partner channels. I do not pick a channel by fashion. I test small, read the cohort, and scale only what pays back. Google and Meta optimize toward the conversion you feed them, so I make sure they chase paying users, not free signups, before scaling any channel.

Why fix tracking before scaling paid user acquisition spend?

Because broken attribution turns every dollar into a guess. If conversions are misfired or revenue is not stitched to the source, you cannot tell a winning channel from a losing one, so you scale the wrong thing. I set up server-side events, clean conversion definitions, and revenue mapped back to source first. Only then do bids and budgets mean anything you can act on.

How fast can you turn around results from paid user acquisition?

I run in tight loops: launch a controlled test, read the cohort, then double down or cut within days. If unit economics are underwater, I find the floor fast on a small budget instead of waiting a quarter for a channel to warm up. You see directional cohort data early and real payback signals within a few weeks, depending on your sales cycle and traffic volume.

TL;DR

Yaniv manages paid acquisition across 9 platforms with a channel-sequencing methodology: Google first (cleanest buy signal), LinkedIn second (surgical targeting), then Meta/TikTok/Reddit at volume. Attribution built server-side to survive signal loss. Creative testing cadence that feeds Meta and YouTube at $450K/month.

What's Included

  • Google Ads (Search, Shopping, YouTube, GDN)
  • Meta Ads (Facebook, Instagram) with CAPI
  • LinkedIn, TikTok, Reddit, Snapchat when the math works
  • Server-side conversion tracking and attribution
  • Creative testing framework with 2-week concept cycles
  • Weekly budget rebalancing based on unit economics
  • Landing page optimization and CRO alignment
  • Monthly executive reporting with revenue attribution

Channel Sequencing

  • Step 1: Google Ads first. Search intent is the cleanest buy signal. Lowest CAC, fastest learning.
  • Step 2: LinkedIn second. Once Google reveals converting personas, LinkedIn targets them surgically.
  • Step 3: Meta + Reddit + TikTok at 50+ signups/week. Below 50, you feed noise. Above 50, platform AI works.
  • Step 4: Influencers when the math works. Test, double down, or cut.

Track Record

Elementor: $200K to $20M   Riverside: 337% MRR   cnvrg.io: Intel Acquisition

Hiring for this

What a user acquisition expert should prove

Most people selling UA ran campaigns. A user acquisition expert ran budgets where mistakes had a comma in them.

Ask three things before you hire any user acquisition expert: the largest monthly budget they personally owned and what CAC did while they scaled it, the attribution setup that graded their own work, and what happened to the account after they left. My answers: $450K a month at Riverside.fm across Google, Meta and YouTube while MRR grew 337%, a multi-touch attribution layer I built myself that survived iOS 14, and channel playbooks the team still runs. The full vetting standard is on the growth marketing expert page; it applies double here, because paid is where weak expertise burns cash fastest.

Frequently Asked Questions

What budget do I need to start?

$10K/month minimum across channels. Below that, the data is too thin for optimization. Most clients are $30K-$200K/month.

How do you handle attribution after iOS 14?

Server-side conversion tracking, multi-touch attribution models, and platform-agnostic revenue reporting. We don't trust platform-reported ROAS as the sole source.

Do you manage creative production?

I manage the testing framework and creative strategy. For production volume (video, UGC), I work with your team or recommend production partners.

Taking 2 new clients for Q3 2026

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