1.Detect forwarded conversation
Integrate Darwin AI and conversation analysis tools to detect a forwarded conversation and capture the summary, thread identifier, phone candidate, and city.
When a customer conversation is forwarded but stays unstructured, qualified opportunities slip and follow-up slows. This automation captures conversation details, filters for sales-ready interest, and creates leads in Salesforce and Google Sheetsβso your team can act fast.
Integrate Darwin AI and conversation analysis tools to detect a forwarded conversation and capture the summary, thread identifier, phone candidate, and city.
Integrate Code by Zapier and data lookup tools to map the city to a configured dealer reference for downstream lead field mapping.
Integrate Formatter by Zapier and data normalization tools to apply name and phone fallbacks and output first and last name plus primary phone.
Integrate Filter by Zapier and interest rules to continue only when the interest type qualifies for sales-ready lead creation.
Integrate Salesforce and CRM assignment rules to create a lead with mapped contact data, dealer reference, and conversation details.
Integrate Google Sheets and reporting sheets to add an audit row with lead name, phone, dealer, timestamp, and interest.
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Step 1
Bring your apps together so information can move automatically between the tools your team already uses.
Step 2
Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
Step 3
Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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