Built by a marketing executive who has owned the numbers behind the ads.
Adwiser AI was created by Liran Froind. 16 years in paid acquisition, including SEM at 888 with multi-million budgets, Director of Growth at Nayax, and VP Marketing at a publicly traded company that ran to $9.5M in sales in the first 10 months.
Earlier and adjacent: agency consulting at Crowne Plaza and Budget, official Google Ads trainer in an MBA program, founder of two bootstrapped businesses (one with a small exit, one still profitable in its 11th year).
Adwiser AI was built from that point of view.
Why I built Adwiser AI.
I have spent most of my career close to the numbers behind growth.
Not just impressions, clicks, CTR, CPC, or platform-reported conversions. The numbers that actually drive the business: qualified leads, activation, CAC, LTV, payback, contribution, incremental revenue, and whether the spend is bringing in the right demand.
Over the years, I worked across very different environments. Public-company growth roles. Agency and consulting work. Hands-on paid media. Training. Lecturing. Building my own businesses.
But the same problem kept appearing.
Marketing platforms excel at showing activity. They struggle to explain whether that activity is truly good for the business.
A campaign can look efficient inside the platform while attracting weak leads, wrong intent, poor-fit customers, low-quality traffic, or demand that never turns into meaningful revenue. That gap is easy to miss if you only look at the dashboard.
That is where Adwiser AI started.
But as a way to productise the kind of judgment that experienced performance marketers apply when they look beyond surface metrics and ask:
Is this traffic actually helping the business grow?
Five things about performance marketing.
- 01
Platform metrics are useful, but they are not the full truth.
Clicks, conversions and CPA matter. But they don't reveal whether the traffic matches the business, the customer profile, or the revenue model.
- 02
The real performance question comes after the click.
Good acquisition is measured by what happens downstream: qualified leads, activation, CAC, LTV, payback, contribution, retention, and incremental revenue.
- 03
Ad spend grows on autopilot. Business outcomes don't.
Platforms are built to keep spending. Automation expands targeting faster than any team can review. Business outcomes require someone to define what the advertiser actually wants, and to block the spend that goes elsewhere.
- 04
The best marketers are not just campaign managers.
They connect media spend to business outcomes. They know when reported performance is real, when it is inflated, and when the account is buying demand the company does not actually want.
- 05
Adwiser AI was built from that mindset.
It brings performance marketing judgment into software, so teams can better understand the quality, intent, and business value of the traffic they are buying.
The product I wish I had earlier.
For years, thorough paid-acquisition work meant manual review. Reading the search terms. Auditing the placements. Tracing what each conversion actually did for the business. The work was hard but possible.
Ad platforms have changed that. Automation now optimises faster and broader than any team can review. Spend drifts into placements no one chose. Intent gets guessed in ways no team can audit. Audiences widen to clicks no one asked for.
That is what Adwiser AI is built to become. The guardrail humans can no longer maintain alone. Protecting what the advertiser actually came here for.