What is Event Match Quality (EMQ)?

EMQ is Meta's score for how well your tracking can match an event to a person. Higher EMQ means more attributed conversions and better optimisation.

Definition

Event Match Quality (EMQ) is a score from 0 to 10 that measures how well Meta can match a conversion event to a user, based on the customer parameters you send (hashed email, phone, name, external ID and more).

Also called: Event Match Quality, EMQ, Match Quality
Explore the process

Make events usable.

EventInput
✓Use
Example event01
01 / Event
Describe what happened with a stable name and relevant fields.
02 / Validation
Validate value, currency, ID and consent before forwarding data.
03 / Use
Use consistent data in reporting, segmentation and optimisation.

01Describe what happened with a stable name and relevant fields.

Simplified data flow with example data. Fields and destinations depend on the implementation.

Why EMQ decides the payoff from your tracking

A server-side setup is only as good as the data it sends. The more matched parameters — hashed email, phone number, name, city, postcode, external ID (fbp/fbc), IP — the higher your EMQ, and the more of your real conversions Meta can attribute and learn from. An account that lifts EMQ from 4 to 8 sees measurably more conversions in-platform without anything changing in reality.

Better matching gives the algorithm a cleaner signal to optimise on, and that flows through to lower CPA and better scaling. EMQ is therefore one of the most concrete technical levers you have to lift performance without touching budget or creative.

Frequently asked questions

What's a good EMQ score?

Aim for 7 or above out of 10. You get there by sending as many matched customer parameters as possible via the Conversions API. Hashed email and phone carry the most weight, backed up by name, address and external IDs.

How do I raise my EMQ?

Send more matched parameters server-side (hashed email, phone, name, postcode, external ID) and ensure correct deduplication against the pixel. Better data quality at the point of collection lifts the score directly.

From insight to action

See how it applies in practice.

Matraws

Growth also needed a better purchasing process

We built Matraws' trade-in system with submission, assessment, offers and handling in one backend. The work addressed supply as a constraint.

Read the case

Priorities and collaboration

Discuss your next step

Tell us where your business stands. We clarify the work needed and whether we are the right fit.

Choose a time

30 minutes · No obligation

About the author

Growth hacker and fractional CMO with 10+ years' experience and hundreds of millions in managed ad spend behind him. Background from larger Danish and international scale-ups, and from the agency world.

Meet the team

Keep reading.

All articles