Case Studies · 3 companies, verifiable results

Growth case studies, with the receipts attached.

Q: What do these growth case studies show?

They show one thing: I build growth engines that move revenue, not vanity metrics. Across Elementor, Riverside, and cnvrg.io, the pattern in these growth case studies is the same. Fix measurement, find the real constraint, scale what pays back, and leave behind a system the team can run.

Q: What are the headline results?

I took Elementor from 200K to 20M ARR, a 100x increase, lifted Riverside by 337 percent in MRR, and have managed over 100M dollars in media across my career. The numbers in these growth case studies come from systems, not single campaigns, which is why they held.

Q: Will you get the same results for me?

I do not promise numbers I have not seen in your data. What I promise is the method behind these growth case studies: measure from revenue backward, fix the leak, scale only what returns. If you have product market fit, that method travels.

Q: What kinds of companies do you work with?

Mostly B2B SaaS, B2C, and e-commerce companies with real traction that want to scale revenue, often Israeli companies selling to the US and global markets. The common thread is a product that works and a growth engine that has not been built yet.

Q: How do we start?

We start with a working session where I look at your funnel and measurement and tell you where the money is leaking and what I would fix first. No generic audit. You get a concrete read on your actual constraint before any commitment.

These growth case studies come with numbers you can check, not testimonials. Three companies. Three different growth motions. Three outcomes you can verify on LinkedIn, in public benchmarks, and in funding announcements. No NDA-shielded vanity metrics.

Book a 15-min call See the numbers 1 slot open · Q3 2026

100x

Elementor — $200K → $20M ARR

+337%

Riverside.fm — Net MRR growth

Intel

cnvrg.io — acquired in <12 months

Scaled growth at

The scoreboard

Growth case studies: the full numbers

One graphic, three outcomes. Every figure below is traceable to a public source — LinkedIn roles, product benchmarks, and Intel’s acquisition announcement.

Growth case studies scoreboard

Elementor100x ARR · $200K → $20M

Riverside.fm+337% Net MRR

cnvrg.ioAcquired by Intel

The cases

Three engagements, three growth motions

Open any case study for the full playbook, the metrics, and what was different about each engagement.

SaaS · B2C · PLG

Elementor

Head of Acquisition & Growth · 3 years

Headline result

$200K → $20M ARR

a 100x climb in annual recurring revenue

Designed and built the organic growth engine from scratch. Organic became the #1 acquisition channel — zero dollars spent on link buying. The engine still runs years after departure, which is the real test of whether a system was built or just operated.

Organic channel built

0→8

Growth team built

WordPress market leader

Read the full Elementor playbook

SaaS · Creator tools · Paid

Riverside.fm

Head of Paid Acquisition

Headline result

+337% Net MRR

at $450K/mo spend, CAC held

Ran paid acquisition at scale across Google, Meta, and YouTube. Built the multi-touch attribution layer that survived iOS 14+ signal loss while pushing $450K/month into channels without breaking CAC — and rebuilt the B2B pipeline end to end.

Read the full Riverside playbook

B2B SaaS · Enterprise · Demand

cnvrg.io

Head of Demand Generation

Headline result

Acquired by Intel

in under 12 months of the engine running

Built the demand generation engine from zero: SEO, content, paid, lead scoring, and lead operations. Inbound leads grew 180% YoY and the SDR opportunity pipeline grew 1500% before Intel acquired the company.

Read the full cnvrg.io playbook

The throughline

What these have in common

The motion was different. The discipline was the same. The same six rules ran every engagement.

Measurement layer first.Attribution built before scaling spend. No engagement starts without revenue tracing from keyword/campaign to paid user.

Channel sequencing.Google (cleanest buy signal) before LinkedIn (surgical targeting) before Meta/TikTok (scale). No paid channel started before the math worked.

Outlast-the-engagement systems.Each company kept the playbook after I moved on. Documentation, internal training, and team upskilling are part of the work.

Cross-functional ownership.Product, engineering, sales, finance: not stakeholders to manage, partners to build with. Growth doesn’t ship without them.

No vanity metrics.Every report has a dollar number attached. Activity isn’t outcome. Revenue is the only line that decides the budget.

One system, three companies.Measure first, sequence by signal, compound with organic, report in dollars, share ownership, build to last.

The method

How to read these growth case studies

Same operator, three companies, one repeatable method you can copy.

Most growth case studies on a consultant site are a screenshot of one good month. These three are different. Every number traces to a public source, and every result came from the same sequence applied to a different starting point. Read them as one system, not three lucky channels.

Start with measurement, not media.

At Riverside.fm the first deliverable was not a campaign. It was a multi-touch attribution layer that kept reporting accurate revenue after iOS 14 broke pixel signal. Only then did spend scale to $450K a month without CAC drifting. The part that travels to your company: if you cannot trace a paid user back to the keyword or campaign that created them, you are buying noise. Every engagement in these growth case studies started by fixing that first.

TAKEAWAYIf you can’t trace it, you’re buying noise.

Sequence channels by signal quality.

Google search captures existing demand and gives the cleanest buy signal, so it goes first. LinkedIn buys precision against a known account list. Meta and TikTok buy scale once the unit economics are proven. Running them in that order, instead of all at once, is why the cnvrg.io pipeline grew 1500% while CAC fell 40%. Scale came after the math worked, never before it.

TAKEAWAYScale only after the math works.

Build organic as the compounding base.

The Elementor result, $200K to $20M ARR, was not paid. It was an organic engine: programmatic SEO, content tied to real product use cases, and zero dollars on link buying. Paid acquisition is rented reach. Organic is owned reach that keeps returning after the budget stops. The engine still ran years after I left, which is the real test of whether a growth system was built or just operated.

TAKEAWAYOwned reach compounds. Rented reach stops.

Make every report carry a dollar.

Impressions, MQLs, and engagement rate are inputs. The only line that decides the budget is revenue, and in each of these growth case studies the weekly report tied activity back to it. That discipline kills vanity work fast: anything that cannot show a path to a dollar gets cut, and the spend moves to what pays back.

TAKEAWAYNo path to a dollar? It gets cut.

Treat the team as partners, not stakeholders.

Product owned the activation surface, engineering shipped the tracking, sales closed what marketing sourced, and finance held the CAC line. None of these growth case studies happened from a marketing silo. The cross-functional model is slower to set up and far faster to compound, because the whole company is pulling on the same revenue number.

TAKEAWAYOne revenue number, the whole company.

Engineer the handoff.

A demand engine that depends on one person is a liability. In all three companies the documentation, internal training, and team upskilling were part of the engagement, not an afterthought. That is why the playbooks outlasted my time there, and why an acquirer like Intel could underwrite the cnvrg.io pipeline with confidence.

TAKEAWAYBuild it to outlast you.

The whole method, in one line

Measure first, sequence by signal, compound with organic, report in dollars, share ownership, and build systems the team keeps. The motion changes by company and by market. The discipline does not, and it is the part you can copy into your own growth engine.

Taking 1 new client for Q3 2026

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FAQ

Growth case studies: frequently asked questions

What do these growth case studies show?

They show one thing: I build growth engines that move revenue, not vanity metrics. Across Elementor, Riverside, and cnvrg.io, the pattern in these growth case studies is the same. Fix measurement, find the real constraint, scale what pays back, and leave behind a system the team can run.

What are the headline results?

I took Elementor from 200K to 20M ARR, a 100x increase, lifted Riverside by 337 percent in MRR, and have managed over 100M dollars in media across my career. The numbers in these growth case studies come from systems, not single campaigns, which is why they held.

Will you get the same results for me?

I do not promise numbers I have not seen in your data. What I promise is the method behind these growth case studies: measure from revenue backward, fix the leak, scale only what returns. If you have product market fit, that method travels.

What kinds of companies do you work with?

Mostly B2B SaaS, B2C, and e-commerce companies with real traction that want to scale revenue, often Israeli companies selling to the US and global markets. The common thread is a product that works and a growth engine that has not been built yet.

How do we start?

We start with a working session where I look at your funnel and measurement and tell you where the money is leaking and what I would fix first. No generic audit. You get a concrete read on your actual constraint before any commitment.

Start the conversation

Tell me what you need

One real number and one real problem beats a polished intro. It routes straight to my inbox. I reply within one business day.

By Yaniv Goldenberg, Fractional Head of Growth · Last updated May 2026