Data Hygiene

CRM Hygiene Rules for Phone and Email Records

Enforce consistent phone and email formatting at the point of entry, E.164 phones, lowercased trimmed emails, validity flags, so dedupe, routing, and messaging all work on clean keys instead of breaking on '(555) 123' vs '+15551234567'.

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4 to 7 days
build time
4
outcomes
4
stack tools
6
build steps

Built with real HMX CRM tool paths

SSupabase Edge Function (normalize on intake + service-role write)
GGoHighLevel/HubSpot validation + workflow formatting
PPhone (libphonenumber/E.164) + email validation
VValidity-flag fields
SSupabase Edge Function (normalize on intake + service-role write)
GGoHighLevel/HubSpot validation + workflow formatting
PPhone (libphonenumber/E.164) + email validation
VValidity-flag fields

Outcome
signals

These are the real outcome statements attached to this HMX CRM case study.

clean keys
phones and emails standardized
dedupe works
matches stop slipping on format
fewer send failures
valid E.164 numbers for SMS
stays clean
rules normalize new records too

Case architecture

CRM Hygiene Rules for Phone and Architecture

6 nodes
the standard
Normalize at the point of
Supabase Edge Function
GoHighLevel/HubSpot
Unrouted Queue
CRM Outcome
  1. 01the standard

    Enforce consistent phone and email formatting at the point of entry, E.164 phones, lowercased trimmed emails, validity flags, so dedupe, routing, a...

  2. 02Normalize at the point of

    Normalize at the point of entry so new records are clean before they're saved

  3. 03Supabase Edge Function

    Supabase Edge Function (normalize on intake + service-role write) stores the canonical CRM state for CRM Hygiene Rules for Phone and so reporting and follow-up read from one place.

  4. 04GoHighLevel/HubSpot

    Run a one-time cleanup pass to standardize the existing back catalogue

  5. 05Unrouted Queue

    When automation confidence is low, route the record to a manual owner with the source, stage, and last action attached.

  6. 06CRM Outcome

    clean keys phones and emails standardized; dedupe works matches stop slipping on format; fewer send failures valid E.164 numbers for SMS; stays cle...

Problem

The operating gap

Phone numbers arrive in a dozen formats and emails carry stray spaces and capitalization. That inconsistency silently breaks the things that matter: duplicate detection misses matches, SMS sends fail on malformed numbers, and routing rules that key on these fields misfire.

Build

What gets built

Add normalization at entry and a cleanup pass over existing records: format phones to E.164, lowercase and trim emails, flag invalid or unreachable values, and keep the rules running so new records stay clean going forward.

Build
steps

CRM Hygiene Rules for Phone and Email Records uses a CRM operating layer for CRM Systems. Enforce consistent phone and email formatting at the point of entry, E.164 phones, lowercased trimmed emails, validity flags, so dedupe, routing, a... The architecture connects the standard, supabase edge function, gohighlevel/hubspot, and crm outcome with an explicit control path.

  1. 01Define the standard: E.164 phone, lowercase trimmed email, explicit validity flags
  2. 02Normalize at the point of entry so new records are clean before they're saved
  3. 03Run a one-time cleanup pass to standardize the existing back catalogue
  4. 04Flag invalid or unreachable phones/emails instead of silently trusting them
  5. 05Wire the normalized fields into dedupe, routing, and messaging so they share clean keys
  6. 06Re-check a sample to confirm formats hold and bad values are flagged, not hidden

Stack

Tools and layers

  • Supabase Edge Function (normalize on intake + service-role write)
  • GoHighLevel/HubSpot validation + workflow formatting
  • Phone (libphonenumber/E.164) + email validation
  • Validity-flag fields
  • Capture layer: Define the standard: E.164 phone, lowercase trimmed email, explicit validity flags
  • Rules layer: Normalize at the point of entry so new records are clean before they're saved
  • CRM State layer: Supabase Edge Function (normalize on intake + service-role write) stores the canonical CRM state for CRM Hygiene Rules for Phone and so reporting and follow-up read from one place.
  • Automation layer: GoHighLevel/HubSpot validation + workflow formatting handles routine steps while add normalization at entry and a cleanup pass over existing records: format phones to E.164, lowercase and trim emails, flag invalid or unreachable...
  • Human Review layer: clean keys phones and emails standardized; dedupe works matches stop slipping on format; fewer send failures valid E.164 numbers for SMS; stays cle...

Data flow

  1. 01Define the standard: E.164 phone, lowercase trimmed email, explicit validity flags
  2. 02Normalize at the point of entry so new records are clean before they're saved
  3. 03Run a one-time cleanup pass to standardize the existing back catalogue
  4. 04Flag invalid or unreachable phones/emails instead of silently trusting them
  5. 05Wire the normalized fields into dedupe, routing, and messaging so they share clean keys
  6. 06Re-check a sample to confirm formats hold and bad values are flagged, not hidden

Controls

  • Phone numbers arrive in a dozen formats and emails carry stray spaces and capitalization.
  • Add normalization at entry and a cleanup pass over existing records: format phones to E.164, lowercase and trim emails, flag invalid or unreachable...
  • When automation confidence is low, route the record to a manual owner with the source, stage, and last action attached.

Research
basis

Build a CRM with the same traceability

The intake starts with lead sources, stages, and follow-up rules so the scope stays honest.

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