Personalization Depth Audit (QA)

Personalization Depth Audit (QA)

1. 01

   Pull the last 50 sent messages from the automation platform

   Export the actual message bodies, not just the sequence names, from tools like Aimfox or We-Connect to see what prospects received.

2. 02

   Score each message for personalization tokens and custom fields

   Check whether the message uses only first-name tokens or includes company-specific details, role-based insights, or recent activity references.

3. 03

   Flag any message that could be sent to any prospect unchanged

   If a message lacks any unique reference, it is a generic template that raises the risk of spam flags and low reply rates.

4. 04

   Compare reply rates between personalized and generic variants

   Use the platform's analytics or CRM data to see if personalized messages outperform, and quantify the lift to justify the extra effort.

5. 05

   Review the sequence timing and daily volume against LinkedIn's limits

   Confirm the tool's settings respect safe thresholds, such as 50-100 connection requests per week, to protect client accounts from restrictions.

6. 06

   Document the audit findings in a client-facing quality report

   Include examples of strong and weak messages, reply rate benchmarks, and recommended changes to the sequence copy.