DeadAccount.ai
Sales Ops

Stop designing territories around accounts that don't exist.

Real-time CRM cleanup — instead of purchasing quarterly or monthly database updates. AI agents monitor the health of your CRM and surface updates for your team to review on a continuous basis. We're building an enterprise-grade agent team that can take your data cleanliness to the next level.

Q1_Territory_Review_2024.xlsx
CompanyStatus
HubSpotActive
TheranosActive
NotionActive
ManusActive
FigmaActive
5 accounts · Q1 2024All statuses manually set
Annual territory review — spreadsheet, manually maintained

The territory problem is a data problem

Every quarter, sales ops inherits the same mess.

22.5%
of CRM accounts decay every year
Gartner
27%
of rep time lost to bad data
Validity / Plauti
546 hrs
wasted per rep per year
McKinsey / IBM
~30%
of territory accounts are unreachable at quarter start
Internal benchmarks
💀 CRM COST CALCULATOR

What's the Cost of CRM Decay?

Your CRM is rotting. Calculate the real cost of chasing zombies.

⚙️Your Numbers
10,000
10,0001,000,000
10
1100
$120K
$60K$300K
$50K
$5K$500K
22.5%
5%Industry Avg: 22.5%40%
“Every 30 minutes: 120 business addresses change, 75 phone numbers change, 20 CEOs leave their jobs, and 30 new businesses are formed.”
Sales and Marketing Institute.
💀The Damage
Total Annual Cost of Bad CRM Data
$1.6M
2,250 dead accounts × $710 each
⏱️ Time Wasted
5,400 hrs/yr across team
$324K
💸 Revenue Lost
~23 deals lost to dead accounts
$1.1M
🧹 Cleanup Cost
Manually fixing records
$124K
Potential savings with deadaccount.ai
$594K/yr
Numbers don't lie.
Pipeline doesn't flow until you unclog it.
$3.1 trillion
annual cost to US economy from bad data
McKinsey / IBM
22.5%
of B2B data decays every year
HubSpot / Marketing Sherpa
27%
of sales rep time wasted on bad records
Fullcast Research
44%
lose 10%+ revenue to bad CRM data
Validity State of CRM Report

📊 Research Sources

Data Decay Rates2.1% monthly / 22.5% annual (HubSpot, Marketing Sherpa)
Cost of Bad Data$3.1T annual US economy impact (McKinsey/IBM)
Sales Rep Impact27% of time on inaccurate records (Fullcast)
Revenue Impact44% of companies lose 10%+ revenue (Validity)

Why territory design takes so long

Territories built on stale data

Sales ops designs territories in spreadsheets, then spends weeks manually cleaning data before the quarter starts. By the time it's done, it's already out of date.

Dead accounts hiding in the CRM

Acquired companies, dissolved entities, and permanently closed businesses sit in the CRM for years. Reps waste cycles on accounts that literally no longer exist.

No consistent tiering methodology

Every AE tiers differently. Without a systematic approach, your top territory looks different to every rep — and pipeline calls become guesswork.

How it works

From spreadsheet chaos to a clean, tiered territory — in minutes.

1

Upload your territory

Drop a CSV of your full account list. Company names are enough — domains and industries make results sharper.

2

Agents research every account

Six AI agents cross-reference funding, M&A, HQ signals, and public records — in minutes, not weeks.

3

Get back a tiered territory

Every account comes back scored: T1 Priority, T2 Watch, T3 Archive, or Dead — with evidence for each call.

4

Run it again next quarter

Dead accounts don't stay dead — companies merge, pivot, and disappear continuously. Real-time cleanup means scanning on your schedule, not once a year.

Free Resource

Get the Sales Ops Territory Audit PDF

A one-page brief with the data, framing, and ROI case to bring to your VP of Sales or RevOps lead.

Enterprise-grade data cleanliness — without the quarterly cleanup sprint.

We're working with a select group of sales ops and RevOps teams to build out the enterprise agent workflow. Apply and we'll design it around your CRM, your territory cycle, and your scale.

Apply for Beta