Define the market, buyer, and reason to change
ICP fit alone says nothing about the buying system, differentiation, proof burden or viable route to market.
Management decisionAgree the market thesis and commercial economics before adding coverage.
GTM Strategy & Execution
6–8 weeks
GTM Repositioning + Pipeline Discipline for a SaaS Editor
A SaaS editor had strong product capability, but broad positioning and account lists weakened timing and qualification. We defined valid signal hypotheses for priority ICP wedges, introduced agent-assisted source research and action preparation, mapped proof to the buying constraint, and established human approval plus weekly review of conversion and rejection reasons.
#GTM strategy
#Sales enablement
#Pipeline hygiene
#New business
B2B SaaSEstablished one signal-led commercial system from verified sources and agent preparation to approval and pipeline learning.
Anonymised case study. Focus: ICP wedges, switching triggers, proof coverage and opportunity evidence.
Connect verified timing to proof and commercial action
Agree where to compete and why buyers should change; connect ICP fit to sourced timing; implement agent-assisted preparation; and train the team that retains commercial accountability.
- 01 • DetectValid signal
Source, recency and buying implication
- 02 • QualifyICP & role
Constraint, owner, timing and priority
- 03 • PrepareAgent work
Verified source, proof and proposed next action
- 04 • ApproveCommercial owner
Accept, edit, reject or suppress
- 05 • LearnPipeline data
Conversion, rejection and decision age
Illustrative applicationRoyalties platform replacement opportunity
- Starting point
- The pitch covers broad capability, while finance and operations lack a shared reason to change the current system.
- Management intervention
- Anchor discovery on close delay, reconciliation effort and audit exposure; show proof against the selected constraint.
- Acceptance evidence
- The opportunity records the trigger, affected owners, decision criteria, proof gap and dated next decision.
Strategic analysis
What management should take from the case
Each finding connects an observed business signal to a decision, owner or allocation choice.
Agent output inherits source quality
Research and drafts become more persuasive only when the source and buying context are sound.
Management decisionEvaluate source completeness before tone, copy or personalisation quality.
Pipeline data supports management decisions
Missing next decisions and inconsistent stages prevent reliable resource allocation and forecasting.
Management decisionInspect decision age, next-step quality and loss reasons by segment each week.
Implementation evidence
Operating models and delivery artefacts
Anonymised working assets used to define decisions, configure the workflow and transfer ownership into operations.
Operating artefact
Positioning execution model
A positioning system that connects ICP wedges and switching triggers to proof assets, discovery, and demo flow.
Each ICP wedge carries the same buyer problem and proof logic through positioning, discovery, and demo flow.
Operating artefact
Pipeline discipline cadence
A weekly management rhythm for follow-up SLAs, stage definitions, next-step quality, and learning loops.
Pipeline hygiene improves when the review rhythm focuses on decision quality and treats activity volume as context.
Operating problem
- • Messaging was broad, so discovery calls lacked focus and deals stalled on “why change”
- • Follow-up cadence varied by rep and event leads leaked without clear ownership
- • Pipeline stages were inconsistently defined, so reporting and forecasting were noisy
- • Enablement assets existed but were not cohesive (no single story or demo spine)
Delivery approach
- • Agree the market wedge, buying system, position, entry offer, proof burden, route to market, and investment assumptions
- • Define valid signal hypotheses for each vertical wedge, with source, recency, buying implication, role, and expiry
- • Build a demo spine that answers the hard questions: change, evidence, and explainability
- • Agree stage definitions and follow-up SLAs to protect speed and quality
- • Run a weekly execution cadence (pipeline hygiene + learning + experiment backlog)
- • Configure an established GTM agent or the customer's selected platform for monitoring, research, and drafting after qualification, with named approval for external action
- • Train SDRs and managers on source review, discovery, qualification, exceptions, QA, and coaching
Outputs handed over
- • Market and ICP thesis, buying-committee map, positioning architecture, and GTM investment assumptions
- • Valid-signal taxonomy, source rules, and qualification model agreed with the customer
- • Proof assets: one-pagers, discovery questions, objection handling, and demo spine
- • Configured GTM agent setup in the chosen stack, with routing rules, CRM records, approval controls, and QA
- • SDR enablement, coaching materials, approval rules, and weekly signal-conversion cadence
- • Capability handover with named owners and a prioritised improvement backlog
Operational outcomes
- • More consistent discovery around sourced, current switching signals and buyer constraints
- • Faster follow-up and fewer dropped leads from events and inbound
- • More complete opportunity records and fewer stage changes without supporting records
- • SDRs and managers trained to operate and improve the agreed agent-assisted model
- • A documented management rhythm linking signal acceptance, owner approval, conversion data, and investment decisions
Measures used to govern delivery
- • Valid signals accepted by segment and source lane
- • Agent-prepared actions accepted, edited, rejected, or suppressed
- • Stage conversion rates (SQL → pipeline → close)
- • Decision age and evidence completeness by stage
- • Win/loss and signal rejection reasons captured consistently
Baseline to target KPIs
These standards make positioning and qualification inspectable by segment. Thresholds are set after the first pipeline baseline.
MetricObserved issueExecution standard
MetricOpportunity record completeness
Observed issueStages advance with missing trigger, criteria or decision owner
Execution standardEach accepted opportunity records the source, valid signal, owner, criteria and dated next decision
MetricProof coverage by ICP wedge
Observed issueGeneric assets used across buyers and business problems
Execution standardEach priority wedge has proof mapped to its buyer, constraint and decision criterion
MetricPipeline learning quality
Observed issueLoss reasons and stage definitions vary by rep
Execution standardConversion, decision age and coded loss reasons reviewed by segment each week
Baselines and targets are operating ranges used to frame discovery and acceptance. They are not presented as verified client results.
Timeline
6–8 weeks
- 01
Week 1: Diagnose ICP, valid signal hypotheses, source quality, proof gaps, and pipeline baseline
- 02
Weeks 2–3: Configure agent-assisted research and preparation; ship proof, talk track, and approval rules
- 03
Weeks 4–6: Run signal-led event and outbound motions with human approval and weekly conversion review
- 04
Weeks 7–8: Retire weak signals, refine the motion, and transfer the weekly review cycle
Related service
Continue into the service page tied to this example, or compare the wider advisory offer.