Day 151-155: Funnel Performance Review & Pricing Test

Checking in from Cape Town today, and overall things are holding together reasonably well.

Looking at the numbers from January 28th through to February 1st, total sales came in at £4,256. Ad spend over the same period was £2,019 (roughly $2,767), leaving a five-day profit of about $1,489.

Not spectacular, but importantly, stable and profitable.

When you’re running funnels remotely and not actively optimising, stability is actually a very acceptable outcome.

Running the Funnel While Travelling

This phase of the journey is very much about letting the machine run.

There are no major structural changes happening while you’re away. The goal is simply:

- Keep campaigns active
- Avoid unnecessary interference
- Monitor trends rather than individual days

Funnels need periods where they’re allowed to breathe without constant adjustment, and travel time naturally enforces that discipline.

Pricing & Bonus Split Test Update

The main test under observation right now is the pricing and bonus structure.

I’ve sent roughly 3,200 visitors to each variation:

$27 offer → converting at 3%
$34 offer (+ extra bonus) → converting at 2%

On the surface, that looks like a clear win for the cheaper offer. But revenue tells a more nuanced story.

Cost per click is extremely close:
$0.66 vs $0.61

Which means the higher price is partially compensating for the lower conversion rate.

In other words: Lower conversions × higher price ≈ similar revenue dynamics.

This is exactly why you never judge tests purely on conversion percentages.

The Emerging Insight

What’s becoming interesting is not “which price wins”. It’s the behavioural signal behind the data.

The extra bonus on the $34 offer did not restore conversion to match the $27 version.

That suggests price sensitivity is still dominant. So the next logical experiment becomes:

What happens if the second bonus is added to the $27 offer instead?

Rather than trying to justify a higher price, you’re now exploring whether increased perceived value can lift conversion even further at the proven price point.

If that pushes conversion from:

3% → 3.5% or 4%

That could easily outperform any gains from price increases.

Why This Is a Smart Next Move

This follows a very strong optimisation principle:

When volume is working, try to improve conversion before increasing price.

Higher conversion improves:

- Buyer volume
- Upsell exposure
- Overall AOV
- Ad efficiency

All without increasing acquisition friction.

Current Position

Nothing dramatic happening — which is good news.

No collapse. No runaway spike. Just steady operation.

Exactly what you want while travelling.

The key now is continuing to gather clean data and setting up the next test once I'm settled again.