Case Studies

Hospitality | RevOps & CRM

A 96,000-contact CRM nobody could trust, rebuilt into a revenue database.

A multi-location restaurant group's CRM was buried in duplicates and orphaned records with no lifecycle logic. We consolidated it, enriched it, automated it, and wired it to the data warehouse.

RevOps + CRM Ongoing engagement

96K+

Contacts Deduplicated

3,400+

Net-New Contacts Surfaced

2,500+

Orphaned Records Removed

Live

Lifecycle Automation + Deal Sync

The Situation

A contact database no one could trust

The group's CRM had ballooned to roughly 96,000 contacts, thick with duplicates and around 2,500 orphaned company records. There was no lead-status architecture and no lifecycle automation. Records did not mean anything, contacts had no clear stage, and nothing was moving anyone forward automatically.

The result was a database the business-development team could not trust and could not act on. Before anyone could sell from it, the system itself had to be rebuilt.

The Approach

Consolidate, enrich, automate, connect

We treated the CRM as a revenue database to be rebuilt, not a contact list to be tidied. Five workstreams, run in order.

Quarantine and deduplicate

A roughly 96,000-contact cleanup, with about 2,500 orphaned company records removed. We quarantined the questionable records first, then merged and cleared the duplication so the database had one trustworthy version of each contact.

Build the lead-status architecture

Defined clear statuses and backfilled history so every record means something. The team can now see where a contact sits and what should happen next, instead of guessing.

Enrich the gaps

Clay enrichment across roughly 4,900 companies surfaced about 3,400 net-new persona contacts for the business-development team, filling the gaps the cleaned database exposed with people worth reaching.

Turn on lifecycle automation

Automated the lead lifecycle, including a catering-versus-mealtime split that routes each contact down the right path. The system now moves records forward on its own rather than waiting on manual sorting.

Wire it to the warehouse

A daily BigQuery deal sync and website visitor identification so the CRM reflects real revenue and real traffic, plus a business-development dashboard and a weekly auto-summary to the team.

The Results

A revenue database the team can act on

Roughly 96,000 contacts deduplicated into one trustworthy database

About 2,500 orphaned company records removed

About 3,400 net-new persona contacts surfaced for the business-development team

Lifecycle automation live, with a catering-versus-mealtime split routing each contact

A daily deal sync from the data warehouse running live

Website visitor identification feeding the CRM

A business-development dashboard and a weekly summary delivered to the team

A CRM the team can finally trust and act on

Engagement Included

Full scope of work

CRM audit

Contact deduplication

Orphaned-record cleanup

Lead-status architecture

Clay data enrichment

Lifecycle automation

Catering and mealtime differentiation

BigQuery deal sync

Visitor-identification install

Business-development dashboard and reporting

Engagement Context

Industry

Multi-location restaurant group (fast-casual)

Footprint

30+ locations, Northeast US

Inherited State

Roughly 96,000 contacts, heavy duplication, no lifecycle

Challenge

A CRM the team could not trust

Engagement Type

RevOps and CRM rebuild

Outcome

Clean, automated revenue database

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