What Is MEDDIC? | BounceZero
Glossary›Leads and prospecting

What Is MEDDIC?

MEDDIC is a qualification framework for complex, multi-stakeholder sales, built on six elements: Metrics the buyer will use to judge success, the Economic buyer who controls the money, the Decision criteria, the Decision process, the Identified pain, and a Champion inside the account who sells on your behalf. It suits deals above roughly $25,000 a year with buying committees; below that, its overhead exceeds its value and BANT or CHAMP is quicker.

By Ayoub Lebda, founder of BounceZero, a UK-registered email verification service|10 October 2026

How it is measured and used

Each element is scored on evidence, not opinion: a named economic buyer, a written decision process, a metric with a number. Deals missing two or more elements are forecast at a lower probability. The champion is the element that most often fails, usually because they change jobs mid-cycle.

That last failure is a data problem. B2B addresses decay at the rate measured in BounceZero's decay study (only 19.2% of addresses still valid 90 days after a check); in a nine-month enterprise cycle, one in six champion addresses goes dead. Re-verifying the key contacts on open opportunities each quarter catches the move early and turns it into a trigger event at the champion's new company.

Example with numbers

A 2,000-seat company evaluates list hygiene tooling. Metric: bounce rate under 2% across 40 sending domains. Economic buyer: VP marketing operations. Criteria: catch-all detection, API, GDPR processing terms. Process: security review then procurement. Pain: two domains throttled in Q2. Champion: the deliverability lead. All six documented; the deal is forecast at 60%.

Related terms

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Written by

Ayoub Lebda

Founder, BounceZero - Email-infrastructure engineer

Ayoub built BounceZero's 5-stage validation pipeline, its dedicated BGP-announced IP infrastructure, and the Patroni HA PostgreSQL cluster behind every verification. Previously built high-volume email delivery infrastructure. Trained at 1337 Benguerir (École 42 network, 2019). Open-source: bgp_analyzer.