How do you handle lead scoring in Pipedrive?
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Lead scoring is a hot topic for Pipedrive users, and research based on customers’ feedback shows there is no one-size-fits-all approach. Some teams rely on point-based scoring, assigning values to actions like email opens, calls, and demo requests. Others prioritize Ideal Customer Profile (ICP) scoring, using factors like company size, industry, and job title. And many businesses mix and match, adapting their models to different pipelines and sales strategies.
The processes and tools often vary similarly, whether using Pipedrive through custom fields and pipelines or externally with spreadsheets or third-party tools.
We want to hear from you! How are you scoring leads in Pipedrive? Which methods work for you, and where are you finding challenges? Let us know in the comments below.
Comments
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We're not because Pipedrive doesn't have a built-in scoring system. You could only update a field by some third-party solution based on customer actions. It would be nice if we could actually configure this in Pipedrive itself.
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Basamos nuestro cálculo en datos cuantitativos. Nuestro campos cuálitativos son transformados en índices en plataformas externas para poder realizar cálculos. Pipedrive no proporciona una manera de realizar un Lead Scoring. Por ende, utilizamos una plataforma externa que nos permita primero determinar una puntuación basado en los campos completados, actividades y correos. Luego según un sistema de rangos, estas puntuaciones son transformadas en etiquetas que se pueden visualizar en Pipedrive.
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Many people in the Pipedrive community have raised requests here and called for native Pipedrive Lead scoring since 2022. Lead scoring is considered by most as core fucntionality for a succesful CRM. It is now 3 years on, 2025 and still no response from PD or any clear direction on whether it is on roadmap and timeframe.
I think the quesiton should be - How does Pipedrive intend to handle lead scoring (or not)?
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