The Program Teardown: Finding the Defects in a Failing ABM Pitch
Objective: Read a synthetic ABM program recap for Wise Business and identify every structural defect against the lesson's tiering, TAL, channel, and metrics frameworks, separating real defects from plausible-sounding but correct choices.
Wise Business's marketing lead shares a Q3 ABM program recap ahead of a budget renewal meeting. The recap reads confidently, but the underlying program has several structural problems the lesson's frameworks would catch.
Read the recap, flag every real defect with its severity, and separate it from anything that only sounds like a defect.
Before you start
What you'll need
Free path (everything below is enough to finish)
Free, sufficient for a row-per-defect scoring sheet
The process
Specimens to review
Identify every structural defect in this ABM program recap, citing the specific lesson framework each one violates. Then list anything in the recap that sounds like it could be a defect but is actually a legitimate, correct choice.
WISE BUSINESS ABM PROGRAM, Q3 RECAP Target Account List: 5,200 companies matching 'business with international operations,' pulled from a firmographic database export. Channels run: LinkedIn Ads (broad awareness campaign, no account-level targeting filters applied), a company blog post shared to the general newsletter list, and a generic outbound email sequence sent to all 5,200 accounts. Sales involvement: Marketing built the program independently; sales was notified after launch via a company-wide Slack post. Headline metric reported to leadership: 4,800 MQLs generated this quarter, up 30% from Q2. Tier structure: All 5,200 accounts treated identically, no 1:1, 1:Few, or 1:Many split. Note: The program did correctly restrict LinkedIn Ads to a B2B audience filter and used a 90-day attribution window for the MQL count.
Specimen: synthetic, realistic
Final deliverable
A defect list scored by severity, each mapped to the specific ABM framework it violates, plus a one-paragraph rewrite of the Q4 program plan that fixes the critical defects.
See a reference example
Coinbase Institutional, ABM Teardown Response (excerpt) CRITICAL: 'Target list' of 3,000 accounts is a demand-gen export, not a TAL. Rewrite: cut to top 150 accounts by trading-volume fit, split into 1:1 (20) and 1:Few (130). CRITICAL: Headline metric is MQLs. Rewrite: report % of open pipeline touched by ABM-tagged accounts instead. MODERATE: Same outbound sequence sent to every account regardless of tier. Rewrite: bespoke sequence for 1:1, shared-cluster sequence for 1:Few.
Success criteria
You're done when you can:
- All 5 real defects are identified with correct severity and lesson framework citation
- None of the 3 distractors are flagged as defects
- The Q4 rewrite paragraph addresses the critical-severity defects specifically, not generic advice