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You are in good company

Overloop was built on 10+ years of outbound consulting. These are just a few of the campaigns that shaped it and the results they delivered.

Winning trust, boosting visibility

Learn how Ocelot uses OverlopAI to break into a difficult niche while boosting their brand presence

Getting reply rates of over 55%

How Lemons use Overloop AI to find contacts and reach them through highly targeted campaigns.

Turning cold emails into free trial signups

How Marker use Overloop AI to reach out to the right people and get them to sign up for a free trial.

Read customer evidence carefully

What can you learn from customer stories?

Customer stories provide concrete examples of how different teams organize prospect research and outreach. Treat them as context, not guaranteed benchmarks: what transfers depends on your market, audience, offer, and execution.

Start with the context

Note the team, market, and challenge before comparing its workflow with yours.

Look at the process

Focus on how research, targeting, and outreach were organized, not only on the outcome.

Check the evidence

Separate the described workflow from the reported result and note what the story does and does not establish.

Adapt the lesson

Use a relevant principle as a hypothesis, test it on a small scale, and assess it against your own data.

Questions about customer stories

Do customer stories guarantee the same results?

No. They describe one team in a particular context. Your results depend on your market, audience, offer, data, and execution.

Which customer story should I read first?

Start with the team, market, or prospecting challenge closest to yours, then compare the process rather than copying an outcome.

Where can I review the product workflow?

Use the Features overview for detailed workflows or watch the product demo before deciding what to test.

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