Revenue Operations

Your CRM is lying to you

B2B data decays 30% per year. People change jobs. Companies move. Emails bounce. Phones disconnect. Lantern keeps your CRM accurate with continuous enrichment, duplicate management, and automated hygiene—so your teams work with data they can trust.

Dirty data is costing you more than you think

Dirty data is costing you more than you think

1

Data decays faster than you maintain it

Your CRM data degrades 30% annually. Job changes, company moves, email bounces, phone disconnects. Without active maintenance, your database gets worse every month. That bounce rate isn't random—it's rot.

2

Duplicates create chaos

The same account exists 4 times with different spellings. The same contact has records in Salesforce, HubSpot, and Marketo. Nobody knows what's true. Reps trip over each other. Reports are unreliable.

3

Territory assignment is a mess

Territories based on bad data = constant disputes. Accounts without owners. Leads routed wrong. Reps arguing over assignments. RevOps spends half their time mediating conflicts instead of optimizing.

Automated data quality at scale

Automated data quality at scale

Keep data fresh automatically

Keep data fresh automatically

Lantern continuously re-enriches your CRM records—verifying emails, updating phone numbers, refreshing company data. Not a one-time fix. Ongoing maintenance.

One golden record per entity

One golden record per entity

AI identifies duplicates across objects, suggests merges, and prevents new duplicates from entering. Accounts, contacts, leads—one clean record for each.

Know your data health

Know your data health

Real-time dashboards show enrichment rates, accuracy scores, decay indicators, and data gaps. Know exactly where your CRM is strong and where it needs attention.

Right account, right rep, every time

Right account, right rep, every time

Automated territory assignment based on clean, accurate data. Handle complex rules, overlaps, and exceptions. No more disputes, no more orphaned accounts.

From data chaos to data confidence

From data chaos to data confidence

From data chaos to data confidence

Audit your current state

Connect your CRM and Lantern analyzes your data quality—enrichment gaps, decay indicators, duplicate clusters, territory coverage. Know where you stand.

Configure hygiene rules

Automated enrichment runs

Duplicates resolved

Territories assigned

Continuous monitoring

Audit your current state

Connect your CRM and Lantern analyzes your data quality—enrichment gaps, decay indicators, duplicate clusters, territory coverage. Know where you stand.

Configure hygiene rules

Automated enrichment runs

Duplicates resolved

Territories assigned

Continuous monitoring

Audit your current state

Connect your CRM and Lantern analyzes your data quality—enrichment gaps, decay indicators, duplicate clusters, territory coverage. Know where you stand.

Configure hygiene rules

Automated enrichment runs

Duplicates resolved

Territories assigned

Continuous monitoring

Complete data quality management

Complete data quality management

Continuous Enrichment

Continuous Enrichment

Don't just enrich once—maintain accuracy over time. Records automatically re-enriched based on age, engagement, and priority. Decay stopped before it spreads.

Email Verification

Email Verification

Real-time email deliverability scoring. Catch-all detection. Bounce prediction. Stop sending to addresses that won't receive.

Phone Verification

Phone Verification

Validate phone numbers. Identify disconnected lines. Verify mobile vs. landline. Direct dial vs. main line classification.

Company Data Updates

Company Data Updates

Track company changes—moves, mergers, acquisitions, name changes, size changes. Keep firmographic data current.

Contact Employment Verification

Contact Employment Verification

Detect job changes. Flag contacts no longer at the company. Update titles and departments. Track champions to new roles.

Duplicate
Detection

Duplicate
Detection

Cross-object duplicate identification. Fuzzy matching on name, email, company, phone. Confidence scoring. Suggested merges.

Merge Management

Merge Management

Controlled merge workflows. Preserve data from all records. Maintain activity history. Clear audit trail.

Field Standardization

Field Standardization

Normalize inconsistent data. State abbreviations. Country codes. Industry classifications. Phone formats. Consistent, usable data.

Territory assignment that actually works

Territory assignment that actually works

Rule-Based Assignment

Rule-Based Assignment

Define territories by geography, industry, company size, revenue, named accounts, or any combination. Complex hierarchies supported.

Round-Robin Distribution

Round-Robin Distribution

Fair distribution within territories. Weighted round-robin for different capacity levels. Handle PTO and exceptions.

Named Account Handling

Named Account Handling

Strategic accounts assigned to specific owners regardless of territory rules. Clear ownership, no conflicts.

Hierarchy Support

Hierarchy Support

Multi-tier territories: Region → Area → Territory → Rep. Parent-child relationships. Roll-up reporting.

Conflict Resolution

Conflict Resolution

Clear rules for overlaps. When an account could match multiple territories, defined logic determines assignment. No more disputes.

Change Management

Change Management

When territories change (reorgs, new hires, attrition), bulk reassignment tools. Audit trail of all changes.

THE OLD WAY VS. THE LANTERN WAY

THE OLD WAY VS. THE LANTERN WAY

The Old Way

The Old Way

- Annual "data cleanse" project
- Data rots for 11 months in between
- Duplicates multiply endlessly
- Reps argue about territory
- RevOps spends 20 hours/week on disputes
- Reports built on unreliable data
- Nobody trusts the CRM

The Lantern Way

The Lantern Way

- Continuous enrichment, always current
- Decay caught and fixed automatically
- Duplicates prevented and resolved
- Territory assignment automated
- RevOps focuses on strategy, not disputes
- Reports based on accurate data
- CRM is the source of truth

Use cases

"We had 2 million records in Salesforce. 40% had invalid emails. 25% were duplicates. We'd tried manual cleanup twice—it took 6 months and decayed within a year. Lantern cleaned the backlog in 2 weeks and keeps it clean continuously. We finally trust our data."

"We had 2 million records in Salesforce. 40% had invalid emails. 25% were duplicates. We'd tried manual cleanup twice—it took 6 months and decayed within a year. Lantern cleaned the backlog in 2 weeks and keeps it clean continuously. We finally trust our data."

4x

data accuracy, maintained automatically

VP of Revenue Operations at an enterprise company

"We grew from 20 to 80 reps in a year. Territory assignment was a nightmare—manual spreadsheets, constant disputes, accounts falling through cracks. Lantern automated the whole thing based on our rules. When we add a new rep, territories rebalance automatically. Zero disputes."

"We grew from 20 to 80 reps in a year. Territory assignment was a nightmare—manual spreadsheets, constant disputes, accounts falling through cracks. Lantern automated the whole thing based on our rules. When we add a new rep, territories rebalance automatically. Zero disputes."

10 minutes

Territory assignment time from 10 hours/week to

Director of Sales Operations at a high-growth company

"Every board meeting, someone would question our pipeline numbers because they knew our data was dirty. Duplicate accounts inflated totals. Bad contacts skewed conversion rates. After Lantern cleaned our CRM, our metrics are finally reliable. The board trusts what we present."

"Every board meeting, someone would question our pipeline numbers because they knew our data was dirty. Duplicate accounts inflated totals. Bad contacts skewed conversion rates. After Lantern cleaned our CRM, our metrics are finally reliable. The board trusts what we present."

First

accurate board reporting in company history

CRO at a mid-market company

95%+

95%+

Data accuracy maintained continuously

Data accuracy maintained continuously

30%

30%

Typical duplicate rate eliminated

Typical duplicate rate eliminated

20 h/w

20 h/w

Average RevOps time saved on data disputes

Average RevOps time saved on data disputes

"We used to do a CRM cleanup project every January. By March, it was already dirty again. Lantern fixed the backlog and keeps it fixed. Our data quality score has been above 90% for 18 months straight. I didn't know that was possible."

"We used to do a CRM cleanup project every January. By March, it was already dirty again. Lantern fixed the backlog and keeps it fixed. Our data quality score has been above 90% for 18 months straight. I didn't know that was possible."

Amanda Park

Director of Revenue Operations

Works with your CRM and data stack

Works with your CRM and data stack

CRM & Sales

Data & Enrichment

Marketing

Operations

CRM & Sales

CRM & Sales

Data & Enrichment

Data & Enrichment

Marketing

Marketing

Operations

CRM & Sales

Data &
Enrichment

Marketing

Operations

Stop tolerating dirty data.

Stop tolerating dirty data.

See how automated data hygiene keeps your CRM accurate—and your teams productive.

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin

USE CASES

Revenue Team

Marketing Team

Customer Success

PRICING

Pricing

RESOURCES

Blog

About Lantern

Status

Support

© LANTERN 2025

Terms

Privacy

Linkedin