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This is the single biggest GTM mistake
Not building lookalike list.
All of us must be having some customers. Some customers came inbound, few via referrals, few via word of mouth- it does not matter.
What matters is that these customers are able to solve their pains with your product.
Hence, once they are your customers- you should be "finding more of these".
This is by far the most underrated GTM hack I have come across.
There are few lookalike tools you can try- Ocean, Jesse (my product).
While using these tools, you should be able to find out why certain new customers were surfaced- what were the logic behind these new suggestions, and then run a focussed outbound/ABM campaign on those list.
A Guide to Finding Your Next 100 Customers
I ve spent years working on B2B customer acquisition for products moving from early traction to real scale. We tested every channel, built lightweight systems for volume outreach and partnerships, ran hundreds of experiments, and eventually created repeatable processes that a small team could run without constant firefighting.
Distribution is the #1 bottleneck you ll hit. Features get copied. Messaging gets borrowed. What actually compounds is a clear system for identifying the right accounts, testing quickly, and turning early signals into consistent pipeline.
By the end of this you ll know:
- What each major acquisition channel actually buys you (and why most teams misuse them)
Finding Clay expensive?
A lot us are frustrated with Clay credits usage.
It almost feels like complexity is built in to maximise credit usage- not maximise value delivered to the users.
I have spoken with 200+ founders and builders while building Jesse.
A vast majority spend more per month Clay to just find 100 leads (not convert, just find) than they spend on building their app.
This is very unfortunate situation to be in.
If you find yourself in such a situation- might as well try Jesse (#3 product of the day, and featured mention in PH weekly newsletter)> https://agentjesse.floworks.ai/
Whats more?
> Jesse does not restrict you to 102-12 data sources.
> Jesse is natural language based.
"show me soccer facilities opened in midwest post last summer" -> relevant if you want to sell your booking SaaS
"homeowners looking to rent out their homes having moved to a different city" -> great leads if you are in real estate
> Best yet? starts with just $9 plan with a generous free trial.