Article

Why CRM data decays faster than you think

Data Quality and why CRM data decays fast.

Data Quality breaks fast when CRM records decay. See how third-party data and better hygiene reduce GTM risk.

Your CRM starts losing value the day a record enters the system.


People change jobs. Teams rename roles. Companies shift ownership. Email addresses expire. Phone numbers route somewhere else. What looked usable last quarter now creates friction across sales, marketing, and RevOps.


That is why data quality is not a cleanup project. It is an operating requirement.


If you treat CRM hygiene as a quarterly task, you let decay spread into routing, scoring, segmentation, and reporting. If you rely on stale records and weak third-party data, you make every GTM motion harder to trust.


For teams running modern revenue systems, positions decay is a GTM risk. A contact record with the wrong title, business unit, or reporting line does more than bounce an email. It distorts who you target, how you prioritize accounts, and where you send sellers next.

Why positions decay is a GTM risk

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Data Quality breaks fast when CRM records decay. See how third-party data and better hygiene reduce GTM risk.

Article

Why CRM data decays faster than you think

Your CRM starts losing value the day a record enters the system.


People change jobs. Teams rename roles. Companies shift ownership. Email addresses expire. Phone numbers route somewhere else. What looked usable last quarter now creates friction across sales, marketing, and RevOps.


That is why data quality is not a cleanup project. It is an operating requirement.


If you treat CRM hygiene as a quarterly task, you let decay spread into routing, scoring, segmentation, and reporting. If you rely on stale records and weak third-party data, you make every GTM motion harder to trust.


For teams running modern revenue systems, positions decay is a GTM risk. A contact record with the wrong title, business unit, or reporting line does more than bounce an email. It distorts who you target, how you prioritize accounts, and where you send sellers next.

Fix duplicate management in Salesforce lead-to-account matching with stronger identity resolution and data hygiene.

Article

Lead-to-account matching in Salesforce: what breaks and how to fix it

If you run inbound lead management in Salesforce, lead-to-account matching shapes more than routing. It decides whether the right account owner sees the lead, whether scoring reflects the full relationship, and whether your team acts on one buyer or a fragmented set of records.


That is why duplicate management and data deduplication sit at the center of lead-to-account matching. When matching fails, inbound speed drops, account context disappears, and revenue teams lose trust in Salesforce.


You feel the problem fast. A form fill lands. Salesforce creates a lead. The lead does not match the right account. Sales gets a net-new name with no account history. Marketing sees weak attribution. RevOps inherits more cleanup work.


This is not a Salesforce setting problem alone. It is an identity resolution and data hygiene problem that shows up inside Salesforce first.

Buying group identification with Custom Audiences and Third-Party Data helps you map stakeholders before deals stall.

Article

Buying group identification: how to map stakeholders before the deal stalls

Your pipeline does not stall because one lead goes quiet. It stalls because your team misses the full buying group.


That gap shows up early. You target one contact, score one response, and route one record. Meanwhile, the real decision sits across finance, IT, operations, procurement, and line-of-business leaders.


If you still treat leads as the GTM unit of execution, you lose visibility when deals gain complexity. Buying teams framed as GTM unit of execution give you a better model. You see who shapes the decision, who blocks it, and who needs proof before the deal moves.


That matters because B2B purchases now involve larger groups and more friction. 6sense reports that B2B buying groups average 10+ members. Forrester reports that 73% of purchases involve three or more departments. If you do not map the group early, your team reacts late.


For MOFU teams, the goal is not more names in a list. The goal is reliable buying group identification that links people, roles, accounts, and signals in time for action. That is where Custom Audiences and Third-Party Data start to matter.