Day 148: Using Data to Rethink Upsells and AOV

Yesterday was one of those reminder days of what the funnel can do when everything lines up.

Sales hit $1,220. Ad spend sat just over $500, leaving roughly $635 profit. That’s the zone. More than 2x on ad spend is exactly where the business model works comfortably.

Today is the other side of the coin. Sales are sitting much lower so far, showing again how volatile day-to-day performance can be.

That’s why decisions can’t be made emotionally off one day — they have to be made from the model.

Backend Engine Now Running

The post-purchase email automation has now started feeding real people into it.

The first half of the 60-day sequence is built and live.

Early signs show people opening, engaging, and moving through the onboarding and activation emails. That matters for two reasons:

It should reduce support friction.

It creates the behavioural foundation needed before later offers appear.

This isn’t instant revenue work. It’s structural LTV work. The results from this will show up weeks from now, not tomorrow.

The Real Focus Today: Average Order Value

Today’s thinking shifts to a more analytical angle: upsell structure and how it impacts AOV.

Instead of guessing, the approach is to model scenarios.

Current Structure

Front-end offer
Upsell at $97
Downsell payment plan
Further discounted downsell

Front-end conversion is the leverage point. Using a model of 30,000 visitors:

At 3% conversion → 900 buyers
At 2% conversion → 600 buyers

That difference alone massively changes everything that happens after.

Every upsell, downsell, and bundle sits downstream of that first percentage. If fewer people buy the front end, fewer people ever see the higher-value offers.

That’s the core insight.

Why Small Front-End Lifts Matter So Much

Going from 2% to 3% is not “just 1%.”

It’s a 50% increase in buyers entering the rest of the funnel.

So even if an upsell structure is brilliant, it struggles to compensate for weak front-end conversion. The maths just doesn’t support it.

This reframes the priority.

Yes, upsells matter.

But front-end conversion rate is still the biggest lever.

Scenario Modelling: Testing New Offer Flow

Different offer stacks were modelled:

keeping current front-end
introducing a blues bundle earlier
changing payment plan structure
adjusting price points

Some combinations looked good emotionally. On paper, they underperformed the current structure.

Others showed potential, but only if the front-end conversion stayed strong.

That’s the filter:
If the numbers don’t work in the model, they won’t magically work in the funnel.

Conclusion from the Modelling

There may be room to improve upsell flow.

But the bigger opportunity right now is likely:

push front-end conversion from 3% toward 3.5%

Even a small lift there feeds more people into every downstream offer, multiplying the impact of everything else.

So the real AOV play might not be “fancier upsells.”

It might be strengthening the core offer further.

More perceived value.
Better positioning.
Possibly an added bonus.

But that test can’t be launched yet because the $27 vs $34 price test is already running. Too many simultaneous changes would blur the data.

So the sequence is:

Let price test run
Finish modelling upsell variations

Then test value expansion on the front end

This is the discipline part. Ideas are filtered through numbers before effort is spent building.

That’s how guesswork becomes strategy.