"Let's just run an A/B test."
The most expensive sentence in B2B marketing.
How 99takes was born from the frustration of endless meetings, lazy compromises, and missing statistical significance.
You know the scenario: A new product or service is about to launch. The team sits in the conference room. The air is stale, the whiteboards are full.
There are five different ideas on how to position the offering. The sales director wants "features," marketing wants "benefits," the CEO wants "vision." There's discussion, deliberation, and eventually a compromise is reached that doesn't really excite anyone—but doesn't hurt anyone either.
And when you can't agree at all? That's when someone utters the sentence that postpones decisions and diffuses accountability:
"Let's just A/B test it."
In B2C with millions of visitors, that's a valid strategy. But in B2B, it's often a death sentence for the campaign.
The Statistical Significance Trap
You're buying expensive, targeted traffic. To get a statistically significant result between two headlines, you'd often need months and thousands of dollars in ad spend.
By the time the result arrives, you've burned budget and lost valuable time. Worse: You've shown real leads a second-rate variant just to collect data.
Our Mindset: Insights Before Traffic
We built 99takes to flip this process. We wanted to know if a positioning works before the media budget flows. Our approach is based on two pillars:
Strategy comes from pain points, not brainstorming.
We don't guess what your customers want. We analyze the market, decode your target audience's language, and uncover their unspoken objections. Based on that, we develop "Challenger Copy" that attacks the status quo.
Understand your customer's inner monologue.
Are you hitting a nerve or just hitting buzzword bingo? Our AI simulation reveals what your target audience thinks while reading: What bores them? What makes them skeptical? What makes them nod? We validate resonance before you go live.
Skip the internal debates.
Let us simulate what your customers really think before you say "A/B test" next time.