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Custom Business Data Extraction

Turn messy email bodies into the exact structured data your business needs to operate.

Tailored Extraction Rules

Every business is different. Whether you need to track budgets and locations, or boat names and technical specifications, Sprevi's flexible extraction engine pulls the key data points that matter to you directly from incoming email subjects and bodies.

Data Fields
Fields extracted from emails, available as {{tokens}} in reply templates
+ Add field
{{budget}}
Reads text after Budget: in the message body
★ 1 on
{{location}}
Reads text after Location: in the message body
★ 2 on
{{start_date}}
Extracts text between start: and end of line
on
{{enquiryType}}
Classifies by subject line pattern
on

Rule Types

  • login
    After Prefix Capture everything after a specific phrase (e.g., "Budget:").
  • unfold_more
    Between Delimiters Extract text sitting between two markers.
  • code
    Regex & Pattern Matching Advanced users can use regular expressions for complex parsing.

Conditional Logic

Rules can be chained. You can set a rule to only run if a previous rule has already identified a specific "Enquiry Type." This allows for complex, multi-stage data processing that adapts to every lead.

Example Workflow
filter_1 Extract "Service Type" from Subject
filter_2 If Service is "Charter", look for "Location" in Body