Competitor pricing, hiring, RFPs, AHJ approvals — 240+ surfaces, refreshed daily. Briefings written from the data, not the deck. Surfaced inside the workflows where decisions actually get made.
Live signal feed. Pricing intel against the market. Win/loss patterns aggregated into strategy.
Competitive intelligence in most companies is a slide. Updated when someone has time. Read by no one. Market Intelligence runs continuously and surfaces inside the workflows where decisions actually get made.
Six capabilities that make this module work end-to-end. Pick any one as your starting point — they compound.
240+ competitor surfaces watched daily — pricing pages, hiring boards, AHJ approvals, RFP filings, conference appearances, partnership PRs.
Every closed deal — won or lost — graded by pattern: competitor faced, decision driver, missing capability, price gap. Aggregated, the patterns become strategy.
Public list pricing, leaked enterprise pricing, RFP-disclosed pricing — assembled into a competitive pricing surface that updates as it changes.
Competitor hiring patterns reveal where they're investing. A 30% spike in install crew hires in Texas tells you everything about the next quarter.
Per RFP type, per AHJ, per customer segment — playbooks that pre-populate with what won (and lost) the last 12 months of similar deals.
Quarterly briefings written from the signal, not from a deck template. Daily Slack digest for the moves that matter most this week.
Surfaces crawled, signals classified, workflows informed, outcomes looped back. Competitor moves don't sit in a deck — they show up where the deal is being worked.
240+ competitor surfaces — pricing pages, RFP databases, AHJ approvals, hiring boards, news feeds.
~hourlyEvery change tagged: pricing move, capacity expansion, partnership, leadership change, product launch.
~84msRFP teams get playbook updates. Sales gets briefs in the deal room. Strategy gets the briefing — written, not slide-built.
~14msWin/loss data feeds the model. Patterns that predicted outcomes weighted up; noise weighted down.
~8msEvery signal classified against rules you write in plain language. Pricing moves of >5% trigger one workflow; hiring spikes in your geos trigger another. No black-box NLP.
Policy is layered: surface filters, classification rules, workflow routing. The strategy team sees what shifted, why it matters, and what to do.
# Market Intelligence · Signal Policy when price.delta > 5% in tier: classify → "price_move" notify rev_ops + deal_desk update rfp_playbook(seg) when hire.spike.region > 25% and region in our.deploy_geos: classify → "capacity_expansion" surface in cs_brief when rfp.lost and winner_known: log pattern(comp, seg, gap) feed win_loss_model when partnership.pr.detected: classify → "channel_move" draft strategy_brief # Last edited: D. Yates · 11d ago
Pricing pages, RFP databases, AHJ approvals, hiring boards, news.
Daily digest of moves that matter. In-channel, in context.
Per-deal competitive brief lives where the rep is working the deal.
Quarterly briefings written from data, exported to your stack.
We profile your top competitors, surface what's shifted in the last quarter, and walk you through the moves you'd have caught — same week, no commitment.