Convert Conversations
Your CRM Should Reflect Reality,
Not Last Friday's Memory.
The Reality
CRM Data Doesn't Just Rot.
It Arrives Dirty.
There are two forces working against your CRM, and most companies only think about one of them.
The first is input. Data is flowing into your CRM from everywhere (for example: CSV imports, web forms, website visitor identification, manual entry from reps, email integrations, marketing tools). Each source formats data differently. Phone numbers come in three formats. Company names are abbreviated inconsistently. Required fields are blank because the import didn’t map them. And when a new record lands without the right properties filled in, any workflow that depends on those properties breaks or fires incorrectly. That’s how a perfectly good lead ends up in the wrong sequence, gets the wrong message, or sits untouched because no one knows it’s there.
The second is decay. A rep finishes a great call and types “good convo, will follow up” because they’re late for their next meeting. A contact changes jobs and nobody notices for three months. A deal sits in “Proposal” for six weeks because the rep forgot to update it after the prospect went dark. Individually, none of these are a big deal. But they compound. By the time your sales leader sits down for Monday’s pipeline review, the data is a patchwork of stale notes, wrong stages, and contacts who don’t work there anymore.
The problem isn’t discipline. It’s that you’re asking humans to do a machine’s job. Data standardization, enrichment, and maintenance are repetitive, thankless, and invisible when done right — which is exactly why they never get done.
How CRM Data Decays
The Difference
Same Five Deals. Monday Morning.
Two pipeline reviews. Same deals, same date. The only difference is whether automation has been maintaining the data.
Pipeline Review
No Automation
Monday, February 3
Last note: 3 weeks ago · Next step: none listed
Last email: bounced silently
CSV Import created a duplicate, sales rep is working from the wrong record.
Rep says “still in play” · No opens on last 3 emails
Lead scoring skipped. Potential large customer skipped.
Pipeline Review
With Automation
Monday, February 3
Next step: Send coverage proposal · Due Fri 2/7 · Proposal opened 3x this morning
Auto-detected role change · Old contact archived · Email validated
Duplicate records merged automatically · Now in quote process
Auto-flagged: no response to 3 follow-ups · Stage updated
Auto-enriched on arrival · Routed to rep in 4 minutes · Discovery call on Thursday
Under the Hood
It's Not a Cleanup. It's a System.
A one-time CRM cleanup helps for about two weeks. Then the data starts decaying again because the underlying problem hasn’t changed. We build automation that catches issues on the way in and monitors for decay continuously — not a project, but a system that runs alongside your team.
Standardize & Enrich
Cleaning data on the way in, not after something is broken
Data flows into your CRM from imports, forms, website traffic, manual entry, and email integrations with each having different formatting. We build rules that normalize incoming records automatically: consistent formatting, field mapping, deduplication, and property enrichment. When a new record lands, the required fields get populated before it hits your workflows.
- Multi-source data normalization
- Automatic new record enrichment
- Duplicate detection and merging
- Field formatting and consistency
Monitor & Maintain
Catching changes before they compound into bad data
Enrichment tools continuously check your existing records against external data sources. When a contact changes jobs, gets promoted, or leaves a company, the system detects it and updates the record. Deals that go inactive get flagged and restaged based on actual activity patterns, not guesswork.
- Role & company change detection
- Email bounce detection and archival
- Deal stage correction from signals
- Engagement tracking
Alert & Surface
Surfacing what needs human attention (with context)
Not everything can or should be fixed automatically. When a deal goes dark, a key contact leaves, or an account shows signs of risk, the system alerts your rep or manager with the context they need to act with the story behind it.
- Stalled deal alerts with full context
- Key contact departure notifications
- Overdue follow-up reminders
- High-intent signals
Layers onto your existing CRM and data sources
The Experience
What Changes for Your Team
Your reps stop getting nagged about CRM updates because the updates happen automatically. New leads arrive enriched and properly formatted regardless of where they came from — a web form, a CSV import, an email integration. There’s no Friday afternoon “pipeline cleanup” session. There’s no manager pinging Slack asking why a deal hasn’t moved in two weeks. The data reflects reality because the system maintains it as a byproduct of the work that’s already happening.
Your sales leader gets the bigger win. Pipeline reviews become productive because the data is trustworthy. When a deal says “Proposal,” it’s actually in proposal. When a contact is listed, they still work there. When a new lead comes in from a list import, it already has the fields your workflows need to route and score it correctly — no manual enrichment step, no broken sequences.
The forecast gets more accurate because it’s built on facts instead of memory. And the time your team was spending on data entry and record cleanup goes back into selling.