Service
GTM POC & AUDIT
Category
B2B2C ECOM
Year
2023
No Scale decision taken before roll out
a 45 days gtm test that prevented a costly scale mistake
Why execution wasn’t the real problem
The misalignment
The problem was not executional inconsistency. It was behavioral variance. Consumer ordering patterns, retailer incentives, and fulfillment tolerance shifted materially across micro-markets.
Early traction created confidence that the model could be scaled city-wide. Variance across neighborhoods was interpreted as an execution issue rather than a signal of deeper structural risk.
The dominant assumption was that demand could be standardized across localities, and that performance gaps would close with better logistics, tighter operations, or increased spend.
The risk was not slow growth.
The risk was scaling a model the market had not validated.
What was built
This was not a feature test or a limited rollout. A decision-grade GTM proof-of-concept was built to determine whether the model deserved scale at all.
A live neighbourhood-level GTM construct spanning consumers, retailers, and logistics.
A behavioural validation layer across ordering cadence, fulfillment tolerance, and price sensitivity. A comparative economics model measured against existing local alternatives
The system was designed to expose fragility, not mask it.
How It Was Built
Every belief about demand, usage, and recommendation was treated as a hypothesis.
Validation was taken as close to real operating conditions as possible. Assumptions tested live rather than inferred through proxy metrics. Where digital signals were insufficient, coordination moved on-ground to observe actual behavior rather than stated intent. Economic viability was evaluated against existing local market structures, not internal targets.
Variance across neighborhoods was intentionally preserved rather than averaged out. Differences were analyzed as first-order inputs to the decision, not anomalies to be corrected. The output of this process was not performance improvement, but decision clarity.
Market learnings & decisions
Order aggregation volumes were insufficient to offset wholesale pricing dynamics.
Consumer willingness to wait conflicted with category expectations around immediacy.
Fulfillment speed could not consistently outperform existing local alternatives.
Customer acquisition costs escalated sharply at neighborhood scale.
Behavioral patterns varied significantly across micro-markets within the same city.
Decision: Do not scale the current model without fundamental changes to distribution and sourcing.
Outcome (Restated)
The initiative was halted before city-wide rollout
Strategic focus was preserved for models better aligned with observed market behavior.
Expansion risk was avoided without incurring execution debt.
Probity Consultancy & Marketing Services
We work with leadership teams to fix go-to-market decisions when they start carrying real cost.
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