MeshLine
A practical example
Example: a prospect fills a form with a work email on Monday, browses pricing from a personal device on Wednesday and replies to a sales email on Friday.
Identity resolution ties all three events to one contact record, so the rep sees one journey instead of three anonymous fragments.
What to evaluate before investing
- Ask for the vendor's match methodology split: what share of matches are deterministic versus probabilistic?
- Request a sample match report on your own data, including match rate and a confidence score per match.
- Check whether resolved identities can be reviewed and corrected by humans, and whether corrections feed back into the model.
Limitations and tradeoffs
Probabilistic matching is inherently uncertain; high match rates can hide false merges that corrupt contact histories and skew reporting.
Plan your next step with MeshLine
Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.