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Consultation

A/B testing of channels

Marketing without testing is

guesswork

We launch A/B tests across channels, offers, audiences, and formats — so you know what works, not what you hope works

Start with a diagnostic session

When do you need this

  • You’re spending on marketing — but results are unpredictable
  • You’re unsure which channel to scale (LinkedIn? YouTube? Telegram? SEO?)
  • You have several offers — but don’t know which converts best
  • You’re building a GTM strategy and want to test it in real conditions
  • You need to defend budget to investors or partners — and want data to back it up

What do we test

  • Channels: LinkedIn / email / Telegram / YouTube / SEO / paid ads
  • Offers: different value props, price points, lead magnets
  • Audiences: multiple ICPs by title, geography, and industry
  • Formats: video vs. text, presentation vs. one-pager, long-read vs. PDF
  • CTAs: “Book a call” vs. “Download now”? “Let’s talk” vs. “Demo”?

How we work: 4 steps

1

Hypotheses

We collect all testable variables — channels, formats, audiences, touchpoints.

2

A/B Scenarios

We create minimal test pairs with clear control logic (A vs. B), and define goals + metrics.

3

Execution & Data Collection

We run the test, track behavior, measure conversions, CPL, and engagement depth.

4

Analysis & Decision

We identify winners and double down only on what works — the rest gets cut.

How to know it’s time

  • Your marketing kind of works — but nothing’s predictable
  • You don’t know which channel actually drives revenue
  • The team argues about what’s best — with no data
  • You want to scale — but don’t know what to bet on
Start with a diagnostic session

What you get

  • A/B test maps across channels, offers, and formats
  • Full analytics per test: conversion, cost, ROI
  • Clear recommendations on what to scale
  • Ready-to-implement funnels: channel → offer → lead
  • Ability to integrate tests into your CRM or sales funnel
  • Sync with outreach, sales, and scripts for a full growth loop

Get your A/B testing

hypothesis map

We’ll show you what’s worth testing now — and how to avoid burning your budget