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Our Solution Provision

Our Solution Provision

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The Five-Phase Sales Solution Cadence: Facts, Benefits, Applications, Evidence, Trial Close When you've done proper discovery—asked loads of questions about where the buyer is now and where they want to be—you earn the right to propose a solution. But here's the kicker: sometimes the right move is to walk away. If you force a partial or wrong-fit solution, you might "grab the dough" short-term, but you'll torch trust and reputation—the two assets that don't come back easily. Below is a search-friendly, buyer-proof cadence you can run in any market—**Japan vs **United States, SME vs enterprise, B2B services vs SaaS—especially post-pandemic when procurement teams want clarity, proof, and outcomes, not fluffy feature parades. How do you know if your solution genuinely fits the buyer (and when should you walk away)? You know it fits when you can map your solution to their stated outcomes—and prove it—without twisting the facts. If the buyer needs an outcome you can't deliver, the ethical (and commercially smart) play is: "We can't help you with that." In 2024–2026, buyers are savvier and more risk-aware. They'll check reviews, ask peers, and sanity-test claims through AI search tools and internal stakeholder scrutiny. In high-trust cultures (including Japan) and high-compliance industries (finance, health, critical infrastructure), a wrong-fit sale becomes a reputational boomerang. The deal closes once; the story travels forever. Do now: Write a one-page "fit test": buyer outcomes → your capability → evidence. If any outcome can't be supported, qualify out fast. What does "facts" mean in a modern B2B sales conversation? Facts are the provable mechanics—features, specs, process steps, constraints—and the proof that they work. Facts aren't the goal; they're the credibility scaffolding. Salespeople often drown here: endless micro-detail, endless Q&A, endless spreadsheets. Yes, analytical buyers (engineering-led firms, CFO-led committees) will pull you into the weeds—but remember: they aren't buying the process. They're buying the outcome from the process. Bring facts that de-risk the decision: implementation timelines, security posture (SOC 2/ISO), uptime/SLA history, integration limits, and measurable performance benchmarks. Then move on before you get stuck. Do now: Prepare a "facts pack" with 5–7 proof points (not 57 features). Use it to earn trust, then pivot to outcomes. How do you turn features into benefits buyers will actually pay for? Benefits are the "so what"—the measurable results the buyer gets because the feature exists. If you can't link a feature to an outcome, it's just trivia. A weight, colour, dimension, workflow, dashboard, or AI model is not valuable by itself. It becomes valuable when it improves a KPI: reduced cycle time, fewer defects, higher conversion, lower churn, faster onboarding, better safety, tighter compliance. This is where classic sales thinking still holds up—think **SPIN Selling and the buyer's implied needs: pain, impact, and value. In a tight 2025 budget environment, "nice-to-have" benefits die quickly; "must-have" outcomes survive. Do now: For every top feature, write one sentence: "This enables ___, which improves ___ by ___ within ___ days." If you can't fill the blanks, drop the feature from your pitch. What is the "application of benefits" and how do you make it real inside their business? Application is where benefits turn into daily operational reality—what changes in workflow, decisions, and results.This is the "rubber meets the road" layer. Don't just say "we improve productivity." Show where it lands: which meetings get shorter, which approvals disappear, which roles stop firefighting, which customers get served faster, which errors are prevented, and what leaders see weekly on dashboards. Compare contexts: a startup may care about speed and cash runway; a multinational may care about governance, change management, and multi-region rollouts. A consumer business might chase conversion and NPS; a B2B industrial firm might chase downtime reduction and safety incidents. Do now: Build a simple "Before → After" map for their week: processes eliminated, expanded, improved—and who owns each change. What counts as credible evidence (and what "proof" actually convinces buyers)? Credible evidence is specific, comparable, and close to the buyer's reality—same industry, similar scale, similar constraints. "Trust me" is not evidence. Bring proof that survives scrutiny: reference customers, quantified case studies, independent reviews, pilot results, and implementation artefacts (plans, timelines, adoption metrics). The closer the comparison company is to the buyer, the more persuasive it becomes. This is also where storytelling matters: not hype—narrative. Who was involved? What went wrong? What changed? What were the numbers before and after? Analysts like **Gartner or **Forrester can help with ...
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