B2B Sales Consulting · Pipeline · Win Rate · Forecast
The team is executing. Close rates are still falling. Forecasts keep moving. Pipeline is growing and revenue isn't. This isn't a performance problem — it's a system problem.
GTM-360 diagnoses the underlying constraint in your B2B revenue system — pipeline quality, ICP alignment, stage definition, forecast governance — and fixes it.
Former AWS COO · Dell revenue leadership · 20+ years in B2B · Series A–C engagements
Each of these looks like a sales performance problem. Each one is actually a system problem.
The symptom
Root cause
Stage definitions measure seller activity, not buyer commitment. Deals advance based on what the rep did — not what the buyer decided. The pipeline looks full because the stages say so, not because the deals are real.
The fix
Redefine stage entry and exit criteria around buyer evidence. Pipeline shrinks initially, then win rates and forecast accuracy improve together.
The symptom
Root cause
The most common cause is ICP drift — the pipeline has filled with buyers outside the original ideal profile. Often triggered by inbound that attracts adjacent personas, or product changes that open new use cases that haven't been evaluated for fit.
The fix
Analyse win/loss data by segment to identify where the ICP has shifted. Redefine qualification criteria. Tighten pipeline entry to match the refined ICP.
The symptom
Root cause
Forecast volatility is a signal problem. When CRM stages don't require buyer evidence, reps apply different interpretations to what 'Commit' means. The forecast aggregates these incompatible inputs into a number that means nothing.
The fix
Standardise commit criteria across the team. Build a forecast governance cadence. Add triangulation using pipeline, activity, and historical patterns.
The symptom
Root cause
Sales cycles lengthen when the buyer's decision structure isn't mapped in the sales motion. Reps are chasing champions who don't have authority, skipping economic buyers, or not surfacing procurement requirements until too late.
The fix
Map the decision structure explicitly in qualification criteria. Require multi-threaded engagement before deals enter late stage. Add decision process questions to discovery.
The symptom
Root cause
AI accelerates the motion underneath it. If that motion is misaligned — wrong ICP, weak stage criteria, vague messaging — AI produces more volume of a broken process. Activity goes up. Win rates stay flat or decline.
The fix
Diagnose the motion before re-enabling AI tooling. Fix ICP, messaging, and stage definitions first. Then use AI to amplify a validated system.
Most sales consultants arrive with a methodology they apply regardless of the actual problem. We spend the first 10–14 days finding the real constraint — through data analysis, team interviews, pipeline review, and CRM audit. The fix follows the diagnosis. Not the other way around.
We do not train salespeople. We fix the revenue system those salespeople work inside. Better reps executing a broken motion produce better execution of a broken motion. The constraint is almost always structural: how the ICP is defined, how pipeline stages work, how forecasts are built, how marketing and sales are aligned.
The deliverable is a working system — not a slide deck or a playbook PDF. We implement the changes alongside your team: CRM reconfiguration, stage redesign, forecast cadence build, outbound infrastructure, reporting. We stay until it is running.
Sameer leads the diagnostic and design phases personally. There is no account management layer. The people diagnosing the problem are the same people designing the fix. Every engagement is staffed with specialists, not generalists who subcontract the work.
Companies anonymised by request. Every number is real — context available on a call.
$14M ARR
Pipeline was at 4× coverage. Revenue was flat. Stage criteria were measuring rep activity, not buyer commitment. Fixed the stage definitions. Win rate recovered in two quarters.
Read case study →$22M ARR · Series B
Eight reps. Eight definitions of 'Commit'. The forecast was averaging incompatible inputs. Standardised criteria, restructured forecast calls, added triangulation.
Read case study →$9M ARR
Sales cycles had doubled. The product was built for operations buyers. Inbound had filled the pipeline with finance and HR buyers. Realigned ICP and tightened qualification.
Read case study →A B2B sales consultant diagnoses why a company's revenue system is underperforming and designs the fix. This is different from sales training, which focuses on rep skills. A sales consultant examines the system those reps work inside — ICP definition, pipeline stage design, qualification criteria, forecasting governance — and identifies the structural constraint preventing predictable revenue growth.
The clearest signal is a combination of two things: the pipeline looks healthy but revenue isn't moving, and adding more effort — headcount, tools, activity — is not producing proportional results. Other signals include declining win rates, forecast volatility that can't be explained, and disagreement between marketing and sales about what's causing the problem.
Sales training improves how reps execute within the existing system. Sales consulting examines and redesigns the system itself. If stage definitions are wrong, training reps to advance deals faster makes the problem worse. If the ICP has drifted, better discovery skills don't fix the qualification problem.
The most common causes are: ICP drift (the pipeline fills with buyers outside the ideal profile), stage definitions that don't require buyer commitment, messaging that no longer matches buyer priorities, forecast categories with inconsistent definitions across the team, and misalignment between what marketing optimises for and what sales needs to close.
Stage and qualification changes show up in win rate and forecast accuracy within one to two quarters. Pipeline changes are visible faster because bad deals start getting removed or correctly categorised. Revenue impact from ICP realignment typically takes two to three quarters to fully materialise, as the pipeline rebuilds with better-fit opportunities.
10–14 days. We find the real constraint in your revenue system. No pitch before the diagnosis.
Goes directly to a partner. Not a CRM queue.
Start with the diagnostic →