Compare profitable customers, product categories, markets and external demand. Develop five growth scenarios with estimated profit potential, investment, timing, risks and first steps.

Combine internal performance with market changes to identify emerging demand, new projects, underdeveloped customer accounts and stock that could sell better. Explain why each opportunity matters and recommend an action.

Model how changes in transport costs, delivery times or demand could affect revenue, margins, inventory and cash flow. Compare responses and make the assumptions explicit.

Compare inquiries, lost quotes, website searches, market signals and competitor offerings. Identify gaps in products, brands or services, including existing products customers struggle to find.

Monitor announced developments, investments and renovations in selected markets. Identify relevant projects, the organizations involved, available project-stage information and reasons to make early contact.

Prioritize follow-ups using open quotes, changes in ordering, new projects, relevant stock and other available signals. Provide a reason to contact each account and a suggested next action.

Monitor available evidence of new brands, price changes, market entries, project wins, hiring and marketing activity. Connect the signals into possible strategic directions while separating facts from interpretation.

Prepare a controlled market experiment with a landing page, campaign and targeted sales outreach. After approval and launch, measure qualified inquiries, reservations or other meaningful commitments.

Assemble a project brief, relevant decision-makers, suitable references and products, and personalized first-message drafts. Give the salesperson a researched starting point to review and use.

Identify patterns among your best customers, then find and rank similar businesses in target markets using available evidence. Explain why each prospect looks promising and where information is missing.

Combine product usage, payments, retention and interviews into one assessment of where the product stands, what the evidence supports and what it does not yet show.

Score the candidate segments on urgency, reachability, evidence and economics. Make the trade-offs explicit and show what new evidence would change the ranking.

Turn the ideal customer profile into a verified list: matching companies, the right decision-makers, evidence of why each one fits, deduplicated against the CRM.

Audit the website for search engines and AI answer engines, find the topics your customers actually search for, and rank the fixes and content by expected impact.

Monitor competitors, communities and customer conversations. Report price changes, launches, hiring and recurring complaints, separating facts from interpretation.

Combine a qualified prospect list, a conversion page and a controlled outreach sequence. Track replies, meetings, pilots and payments so every step produces evidence.

Map the assumptions behind the strategy, pricing and go-to-market. Rank them by risk and by the evidence behind them, and name the one to test first.

Turn the biggest uncertainty into one measurable goal with success and failure criteria defined up front, without inventing a benchmark.

Compare churned and retained accounts across usage, support, billing and interviews. Find the early warning signals and the churn that is preventable.

Build a screener, a 30-minute script with non-leading questions, and a participant list drawn from CRM and product data, with invitations prepared for approval.

Synthesize transcripts against the learning questions. Surface recurring insights, the strongest quotes, contradictions and negative cases, and update the assumptions.

Mine reviews, support tickets, sales notes and communities. Build a source-linked quote bank and a list of the objections that repeat.

Map direct tools, agencies, spreadsheets and the status quo with verified pricing and positioning. Show where customers are underserved and what would make them switch.

Assess demand, growth, reachability and economics for the segment. Show the evidence and the assumptions behind the score, and what would have to be true to enter.

Rank the use cases by customer value, feasibility and the path to recurring value, then choose the wedge that goes into the next experiment.

Build a value proposition from the evidence: the outcome, the differentiation and the proof. Separate what is supported from what is still a claim.

Design and run willingness-to-pay tests. Analyze pricing interviews, checkout experiments and the discounts actually given before recommending tiers and a pricing metric.

Run a transparent fake-door or pre-order test inside the relevant workflow. Measure informed interest and commitments separately from curiosity clicks.

Build the activation funnel from product analytics. Find the moment users first get value and the early behaviours that predict retention.

Watch hiring, funding, expansion, new projects and public complaints across the target market. Rank the companies where the signals stack up, explain each one, and suggest the first contact.