Dip-Test-and-Double-Down Channel Rule
Run lightweight channel tests, then concentrate resources on the one or two winners.
- Difficulty
- Easy
- Time to result
- ~weeks to results
- Steps
- 5
- Confidence
- 95%
Begin with category-audience fit rather than assuming Google or any other platform is the universal default. Choose a few plausible channels and run deliberately lightweight tests that can reveal demand, engagement, conversion quality, and operational fit without requiring full-scale programs. Compare the resulting signals using criteria defined in advance. Once one or two channels demonstrate credible traction, concentrate budget, creative effort, and learning there. The framework balances exploration with focus: it avoids an untested all-in bet, but it also prevents a small team from maintaining five simultaneous priorities indefinitely. Channel selection becomes a staged decision based on observed response, with broad experimentation serving only as a temporary route to concentrated execution.
Origin
Ethan Smith explained this category-sensitive channel rule on Marketing Against the Grain when asked where a startup should begin its search strategy.
Core principles
- 01Channel choice depends on the audience and category.
- 02Small tests are preferable to unsupported strategic certainty.
- 03Early experiments should compare signals, not build full programs.
- 04Concentration follows evidence; permanent fragmentation does not.
How to run it
- 1
Match channels to the category
Identify where the target audience naturally discovers, evaluates, and buys products in the category. Use those behaviors to form a short list of plausible channels.
Pro tip Visual categories may favor Instagram or TikTok, while research-heavy categories may favor Google.
Watch out Do not make one platform the default for every business.
- 2
Define test signals
Choose the evidence that would justify further investment, such as qualified traffic, conversion rate, customer acquisition cost, or audience engagement. Set a time and budget boundary.
Pro tip Use the same business outcome across tests where possible.
Watch out Vanity metrics can make a weak channel appear promising.
- 3
Dip a toe in the water
Launch small, representative experiments on a few candidate channels. Invest enough to learn, but not enough to create a costly permanent commitment.
Pro tip Test an authentic version of the channel rather than a token post with no distribution.
Watch out An underpowered test can produce a false negative.
- 4
Compare the evidence
Evaluate which channels produced the strongest combination of traction, audience quality, economics, and repeatability. Account for differences in learning curves.
Pro tip Record both quantitative results and operational constraints.
Watch out Do not select a winner solely because it generated the most impressions.
- 5
Concentrate on the winners
Move resources toward the one or two channels with the best evidence and deepen execution there. Pause or retire the weaker candidates.
Pro tip Preserve the test results so channels can be reconsidered when the market changes.
Watch out Continuing to focus on all tested channels defeats the purpose of the framework.
In the wild
A beauty startup runs small creator-led TikTok and Instagram tests alongside a limited Google search campaign. It measures qualified visits, email sign-ups, and first purchases rather than views alone. Short-form demonstrations produce stronger conversion and reusable creative, so the team concentrates its next quarter on TikTok and Instagram instead of maintaining equal investment everywhere.
→ The startup converts uncertain channel assumptions into focused allocation supported by customer behavior.
Common mistakes
Assuming Google is always first
The strongest discovery surface varies by category, format, and audience behavior.
Testing too many channels indefinitely
Exploration should end in concentration; otherwise a small team accumulates competing priorities.
Calling a token effort a test
A channel cannot be evaluated fairly when the creative, distribution, or measurement is too weak to represent competent execution.
Is it for you?
Best for
It is best for startups and new initiatives that do not yet know where their audience will respond.
Not ideal for
It is not ideal when regulation, contractual obligations, or conclusive historical data already dictate the channel.
From the transcript
“I think it depends on the channel”
“I want to try a few channels lightweight dip my toe in the water and then figure out what I I think might work and…”
“I wouldn't have five different focuses and focus on all five”
From the episode
Why Google Is NOT Dead & How To Dominate Ai-Driven Search ft. Ethan Smith