M
Martin Elias
Category: DM Automations / Triggers
Priority: High (Workflow & Automation Quality)
Summary:
Please add text-based message conditions to DM Automations, matching the functionality already available in Comment Automations.
Currently, DM Automations only support:
  • Any message
  • Specific keywords
  • Sentiment
  • Tags
This is insufficient for advanced automation logic and creates a major feature gap between Comment and DM automations.
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Current Limitation:
In Comment Automations, we can precisely filter content using rich text conditions such as:
  • Matches regex
  • Contains
  • Is exactly
  • Contains email
However, DM Automations are missing all text-related matching functions beyond basic keyword matching.
This makes DM automations:
  • Harder to scale
  • Less accurate
  • More error-prone
  • Dependent on external workarounds
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Why This Matters:
DM messages are free-form text, just like comments.
Without proper text conditions, automations cannot reliably distinguish between:
  • Intent vs noise
  • Structured inputs (emails, phone numbers, order IDs)
  • Commands vs natural language
  • Valid vs invalid user replies
Regex-based matching is essential for serious automation use cases.
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Requested Conditions to Add (Same as Comment Automations):
Please add the following conditions to DM Automations → Message Text:
  • Matches regex
  • Contains
  • Does not contain (optional but very useful)
  • Is exactly
  • Contains email
  • Contains phone number (optional, future-proofing)
These should behave identically to their counterparts in Comment Automations for consistency and predictability.
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Example Use Cases:
  1. Email Capture:
Trigger only if the DM reply contains an email address
→ Contains email
  1. Command-Based Automations:
Trigger only if the user sends an exact command
→ Is exactly: START
  1. Advanced Parsing:
Trigger based on structured input
→ Matches regex: (?i)order\s?#?\d{5,}
  1. Prevent False Positives:
Avoid keyword collisions like:
“thanks, not interested” triggering keyword = “interested”
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Why Keywords Alone Are Not Enough:
  • Keyword matching is case-sensitive or brittle
  • Cannot validate structure
  • Cannot filter partial vs exact matches
  • Cannot support power-user workflows
  • Regex and text operators solve all of the above cleanly.
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Business Impact:
Adding text & regex conditions to DM automations will:
  • Bring feature parity between Comment and DM automations
  • Reduce user frustration and support tickets
  • Enable advanced workflows without external tools
  • Make Replient significantly more attractive to power users and agencies
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Suggested UI Placement:
DM Automations → Trigger Conditions → Message text
Same selector and UX as Comment Automations.
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Additional Notes:
This feature would dramatically improve automation quality and consistency across the platform.
Thank you for considering this.
— Martin
Power user & automation-heavy customer