⬇️ Thanks to AI prompts and undercutting pricing over the past 6 months.
CMOs and marketing VPs know what they need to get revenue back in line:
1. Stronger offer propositions: clear wins delivering clear results.
2. Better pricing: AI optimized tons of processes and old fees aren’t justified.
3. Frictionless process: fewer forms to fill and assets to provide and calls to sit on.
📚 The framework is clear, but that’s a TON of work.
And with layoffs across the board, manpower is limited.
New offers must be built, launched, and tested in isolation. You lack the resources and the mental power to build them in-house. 🔁
We bootstrapped our Experimentation as a Service service out of necessity for two accounts pivoting into new lines of business in August. It’s in high demand since for obvious reasons:
✅ An isolated experiment detached from board meetings, internal syncs, back and forth, responsibility matrix reporting, and internal scorecards.
✅ Quick iterations – launching in 15 days and statistical significant results in the first month.
✅ A/B testing multiple experiments monthly.
✅ Predictable pricing – $5K, $10K, $20K plans based on velocity/experiments.
We haven’t reinvented the wheel – it’s our own pivot to traditional retainers offering a clear workflow:
➡️ Take your offer that doesn’t convert
➡️ Break it down into a simple, cost-efficient, automated workflow under $5K (ideally $1K – $3K)
➡️ Grow the pipeline testing no-brainer offers
➡️ Establish the one or two that resonate the most
➡️ Offload delivery and process optimization to your team while refining conversion rates and emotional triggers
When the global market takes turns, offers expire and businesses have to capture the market demand by repackaging their solutions.
Between excessive growth and moving to operational efficiency, companies must start from scratch and rebuild their ICP profiles.
Go back to PMF and interview your customers.
And test experiments quickly to validate what’s in demand today and what has to go for now.