3d:I[58016,["/_next/static/chunks/0jjo8hz~ewue4.js","/_next/static/chunks/0abq8zp15pmva.js","/_next/static/chunks/05gz47kazl1ze.js","/_next/static/chunks/139o5utivfajl.js","/_next/static/chunks/0a~e7k..h6jfc.js","/_next/static/chunks/0d1e9m2ig9v3v.js","/_next/static/chunks/0fg30bidui1gn.js","/_next/static/chunks/0rizq9ux3s1w3.js","/_next/static/chunks/0bbc2ioe2xmkf.js","/_next/static/chunks/0z7avafhgjcyr.js"],"ProcessEpisodeButton"] 3f:I[185,["/_next/static/chunks/0jjo8hz~ewue4.js","/_next/static/chunks/0abq8zp15pmva.js","/_next/static/chunks/05gz47kazl1ze.js","/_next/static/chunks/139o5utivfajl.js","/_next/static/chunks/0a~e7k..h6jfc.js","/_next/static/chunks/0d1e9m2ig9v3v.js","/_next/static/chunks/0fg30bidui1gn.js","/_next/static/chunks/0rizq9ux3s1w3.js","/_next/static/chunks/0bbc2ioe2xmkf.js","/_next/static/chunks/0z7avafhgjcyr.js"],"SendEmailButton"] 40:I[45269,["/_next/static/chunks/0jjo8hz~ewue4.js","/_next/static/chunks/0abq8zp15pmva.js","/_next/static/chunks/05gz47kazl1ze.js","/_next/static/chunks/139o5utivfajl.js","/_next/static/chunks/0a~e7k..h6jfc.js","/_next/static/chunks/0d1e9m2ig9v3v.js","/_next/static/chunks/0fg30bidui1gn.js","/_next/static/chunks/0rizq9ux3s1w3.js","/_next/static/chunks/0bbc2ioe2xmkf.js","/_next/static/chunks/0z7avafhgjcyr.js"],"SignupCTA"] 36:["$","svg",null,{"className":"w-4 h-4","fill":"none","stroke":"currentColor","viewBox":"0 0 24 24","children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","strokeWidth":2,"d":"M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z"}]}] 37:["$","time",null,{"dateTime":"2026-04-28T15:13:15.000Z","children":"Tue Apr 28 2026"}] 3e:T4d9,

In this episode of MATCH B2B Insights, Benny Fluman, Dan Mercer, Brian Newman, and Brenda examine why forecasts that look accurate often fail in execution.

The pipeline appears strong, stages are updated, and the numbers seem logical, yet only weeks into the quarter the plan starts to drift. The issue is not visibility but assumptions that no longer reflect reality. Conversion rates change, sales cycles extend, and stage definitions lose meaning, while the forecast continues to present confidence.

The discussion explains how deals marked as commit often rely on optimism rather than real buying conditions, and how timing gaps create financial pressure before revenue shortfalls are visible. It connects forecast accuracy directly to go to market discipline, showing how weak targeting, unclear messaging, and poor qualification lead to misleading projections.

The episode also outlines practical ways to manage this, including weekly checks on deal movement, clear triggers to adjust pipeline and forecast, and a simple framework for testing whether a forecast can support real business decisions.

A forecast does not fail at the end of the quarter. It fails when assumptions stop matching reality.

Forecast Lies - When “On Track” Still Means You Miss the Quarter