Theory Versus Test
Replace launch assumptions with repeated real-world sales experiments
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 5
- Confidence
- 97%
The Theory Versus Test model treats beliefs about selling as hypotheses rather than facts. Begin with a specific theory, such as believing that a live webinar will convert a digital offer better than a challenge. Run the mechanism, measure the outcome, and then repeat it under comparable conditions. A single result may reflect execution quality, timing, audience composition, or chance, so confidence should grow only after a series of tests. The method also reframes underperforming launches: they are experiments that generate information rather than verdicts on the entrepreneur or offer. Over time, accumulated evidence reveals which mechanism communicates value most effectively to a particular audience and offer.
Origin
Extracted from The Jasmine Star Show, where Jasmine contrasted entrepreneurs' assumptions about the best launch mechanism with the evidence produced by repeated tests.
Core principles
- 01Treat every preferred sales mechanism as an unproven theory
- 02Use repeated tests to distinguish patterns from anomalies
- 03Compare mechanisms using actual customer behavior
- 04Regard disappointing results as evidence rather than failure
How to run it
- 1
Write the theory
State exactly which mechanism you believe will sell the offer and why. Frame it as a hypothesis rather than a settled fact.
Pro tip Make the claim specific enough to test, such as a live class converting better than an email challenge.
Watch out Do not label a popular tactic as the best method without evidence from your own audience.
- 2
Define the test
Choose the mechanism, promotional period, audience, and measurable outcome. Keep enough conditions consistent to make later comparisons useful.
Pro tip Track both sales and diagnostic indicators such as registrations, attendance, and conversion rate.
Watch out Changing the offer, audience, price, and mechanism simultaneously will obscure what caused the result.
- 3
Run and observe
Execute the promotion and record what happened without turning the result into a judgment about your ability. Capture both quantitative results and recurring customer reactions.
Pro tip Document audience questions and objections alongside conversion data.
Watch out Do not abandon the experiment midway merely because early sales are weaker than expected.
- 4
Repeat the mechanism
Test the same mechanism again so you can distinguish a repeatable pattern from a one-off outcome. Improve obvious execution problems while preserving the core hypothesis.
Pro tip Use several launches before forming a strong conclusion.
Watch out One successful or unsuccessful launch is weak evidence.
- 5
Refine the theory
Compare the accumulated tests and update your view of when and why the mechanism works. Test an alternative mechanism when the evidence suggests a useful comparison.
Pro tip Record the conditions under which each mechanism performs best rather than seeking one universal winner.
Watch out Do not force new evidence to fit the theory you originally preferred.
In the wild
A course creator believes a webinar is the best sales mechanism. She runs several webinar launches, records attendance and conversions, and then tests free and paid challenges against comparable offers. The resulting evidence shows which format best communicates the transformation to her audience.
→ The creator selects mechanisms based on repeated customer evidence rather than industry folklore.
Common mistakes
Treating one launch as proof
A single result can be distorted by timing, execution, audience quality, or chance. Repeat the mechanism before declaring the theory proven or disproven.
Testing everything at once
Changing multiple major variables prevents you from identifying which change affected sales.
Personalizing weak results
Interpreting an underperforming test as personal failure discourages the experimentation required to build reliable evidence.
Is it for you?
Best for
It is best for digital-offer businesses choosing among webinars, challenges, sales calls, funnels, and other launch mechanisms.
Not ideal for
It is not ideal when the business lacks enough audience access or measurement data to run a meaningful test.
From the transcript
“That's a theory. But your theory gets stronger when you have more tests.”
“because your theory is only proven by a series of tests.”
“So test, test, test. Then come up to your theory”
From the episode
The Best Way to Sell Your Digital Offer (Even If You Hate Selling)