Clay vs Apollo vs manual research. What actually works?

I’ve been experimenting with different ways to build outbound lists recently.

The usual tools show up quickly.

Clay. Apollo.
A bunch of automations promising endless leads.

And they are useful.

@Apollo.io is great when you want to quickly pull a list of founders or CTOs.

@Clay is powerful when you want to enrich data and filter companies in smarter ways.

But after a few weeks of testing, one thing became obvious.

Tools help you move faster.
They don’t automatically make your targeting better.

The bigger question is this:

How do you figure out what signals to even look for?

For me that came from manual research.
Going through company websites, product docs, and recent launches.
Looking closely at how they price their product.

After doing this across ~50 companies, patterns start showing up.

API products launching.
Teams moving to usage-based pricing.
Pricing tables getting messy.

Now tools start becoming useful.

Apollo helps you reach the right people.
Clay helps you scale the signals.

But the insight still comes from manual research.

Right now the best setup seems to be a mix of all three.

Use tools to narrow the universe.
Use manual thinking to find the real opportunity.

How are you figuring out your outbound signals today?