Build a signal-grounded nurture sequence in ChatGPT

A standard drip campaign sends the same content to every contact on a cadence regardless of what is happening at their company. A signal-grounded nurture sequence uses verified Lusha data to anchor each email to a real event at the specific account. The contact receives a message about their Series B, their hiring surge, their intent activity. Not a generic thought leadership piece about your category. The difference shows up in reply rates because the contact recognises the relevance immediately rather than having to work out why the email was sent to them.

Yes. The same signal logic applies to expansion and renewal conversations. A customer that just raised a Series B, opened a new office, or surged hiring in an adjacent function is showing signals that create a natural opening for an expansion conversation. Replace the cold nurture framing in the prompt with an expansion or renewal framing and Lusha will pull the same signals, grounded in the same verified data. The Find expansion opportunities in your accounts before the QBR play on Campus covers this motion in more depth.

The prompt is designed to handle this. If Lusha finds fewer than three signals, it notes which steps use context rather than a named signal and adjusts the sequence accordingly. A step without a named signal falls back to firmographic context — company size, funding stage, tech stack — which is still more specific than a generic nurture email. If the account has no signals and thin firmographic context, that is useful information too. It may not be the right moment to nurture that account and the credit is better spent on an account where signals are actively firing.

You can run the prompt for multiple accounts back to back in the same Lusha-enabled conversation. Each account gets its own signal pull and its own sequence. For large batches of accounts, run the signal pull step first across all accounts in one prompt, then build the sequences in a second pass once you can see which accounts have the strongest signal profile. This gives you a prioritised view before committing to writing a full sequence for every account on the list.

Yes. Lusha’s EMEA coverage is particularly strong across the UK, DACH, France, Benelux, the Nordics, and Israel. Add the geography to the ICP section of the prompt and Lusha will pull signals relevant to accounts in those markets. For European accounts, the tone and compliance framing of the sequence matters as much as the signal. Note in the prompt if you want GDPR-conscious messaging — Lusha is fully GDPR compliant and certified by ePrivacyseal GmbH, so the data foundation is clean. The sequence itself should avoid language that references data sourcing in ways that could create compliance concerns in regulated markets.