Market Entry Engine Demo by TheGradleW

Go-to-market engineering · working demo

Enter a new market in days, not weeks.

One reusable engine per market: map the accounts, let AI agents research and score them with source evidence, enrich contacts on a budget, suppress existing customers and open deals, then launch outbound and PLG offers. The scorecard only counts what you asked for: activated sign-ups, meetings, opportunities and customers.

Research a real company live See the market scorecard
  • Live AI researcher reads the company's own site, detects its CRM & stack, and checks every quote
  • Live buying-signal triage: real intent vs. online noise
  • Sample data for markets, enrichment and results (fictional accounts)

Engine run

US mid-market logistics

    Last run: 2 days 4 h end-to-end · data cost $412 Simulated run · fictional accounts

    Step 1 · Target database

    Every account scored, enriched and checked against the CRM

    The same table template is reused for each market. Existing customers and accounts with open deals in Salesforce/HubSpot are suppressed before anything is sent.

    Fictional sample accounts
    AccountFitSignalCRM in useDecision-makerStatus

    Step 2 · AI account research Live · AI on Amazon Bedrock

    An agent that reads the prospect's site and shows its sources

    Type any company website. The agent fetches its homepage plus up to two key pages, detects the CRM, marketing and analytics tools from the page code, scores fit against your offer, and drafts a 3-step sequence. Each evidence quote is checked against the fetched text and marked verified or not found.

    Try:

    Runs on Kimi K2.5 via Amazon Bedrock (Nova Pro as fallback) through an AWS Lambda role: no API keys in the browser. Generated emails get an automatic claim check. In production the same agent adds headless-browser scraping (Firecrawl/Apify), Apollo/Clay people data and LinkedIn profile reading.

    –fit

    Example run

    –

    Detected stack from page code

      Who to target

        Fit evidence

          Buying signals

            Risks

              Outreach angle

              Step 3 · Signals & intent Live · AI on Amazon Bedrock

              Tell a real buying signal from online noise

              Feeds from Trigify, RB2B, Common Room or job boards land here. The agent labels each one, scores intent and says what a rep should do next, so only real buyers reach the sequence.

              Example run

              BuyingWeakNoise

                Step 4 · Enrichment on a budget

                Waterfall enrichment: pay the expensive provider only for misses

                Run the cheapest source first, send only the unmatched contacts to the next one, and verify before anything is sent. Drag the slider and reorder the providers.

                Provider order (tap ↑ to move up)

                  Hit rates and prices are illustrative assumptions for the demo. Real numbers are measured per market in week 1.

                  Emails found–
                  Data cost–
                  Saved vs. premium-only–

                  Step 5 · Cold email that lands

                  Sending capacity planned around deliverability, not volume

                  Secondary domains, warmed inboxes and conservative daily caps in Instantly or Smartlead. The planner shows how many new prospects a market can take each week without burning domains.

                  Sends / day–
                  New prospects / week–
                  Inboxes to warm–
                  • ✓ SPF, DKIM and DMARC on every sending domain; main domain never sends cold
                  • ✓ 2–3 weeks of warm-up before the first campaign
                  • ✓ Auto-pause a domain when bounces pass 2% or spam complaints pass 0.1%
                  • ✓ Verified emails only; catch-all addresses go to LinkedIn (HeyReach) instead
                  • ✓ Plain-text, one question per email, one offer test per segment
                  • ✓ Replies and meetings sync to HubSpot/Salesforce and Outreach

                  Step 6 · Market scorecard

                  Compare markets side by side on what actually counts

                  Same tracking in every market, so a scale / change / stop decision takes minutes. Sends, opens, impressions and scraped contacts are tracked for diagnosis but never reported as results.

                  MarketActivated sign-upsQualified meetingsOpportunitiesCustomersCost / oppDecision

                  Emails sent · open rate · impressions · contacts scraped not counted as results

                  Illustrative numbers Spend includes data, tools and ad tests. Wired to Salesforce/HubSpot and PostHog in a real engagement.

                  How it plugs together

                  Your accounts, your workflows, your CRM

                  Each layer uses the best tool for the job and hands off through n8n or Make. Everything is built in your accounts, so all workflows and assets stay with you.

                  30-day paid pilot

                  Your plan, with what we ship each week

                  1. Week 1

                    Pick the first market

                    Review goals and target markets, agree the ICP, offer and success metrics, connect read-only CRM access for suppression, set up sending domains so warm-up starts on day 2.

                  2. Weeks 1–2

                    Build the engine, launch market #1

                    Target database, research & scoring agent, enrichment waterfall, sequence and landing-page templates, CRM sync. First campaign live by the end of week 2.

                  3. Weeks 3–4

                    Reuse it for markets #2 and #3

                    Same templates with new lists and offers. Test 2–3 offers per market (free tool, template, interactive demo, meeting offer) and kill losers fast.

                  4. End of month

                    Report by market

                    Activated sign-ups, meetings, opportunities and customers per market, cost per result, and a clear scale / change / stop call for each.

                  What is live and what is simulated

                  Live in this demo

                  • Company website fetching (up to 3 public pages)
                  • Tech-stack detection from HTML and response headers (40+ signatures)
                  • Fit scoring, risks, roles and the 3-email sequence (Kimi K2.5 on Amazon Bedrock)
                  • Claim check that flags numbers or results in an email that are not in your offer or their site
                  • Quote verification against the fetched text
                  • Signal triage with intent scores
                  • Enrichment and capacity calculators

                  Simulated / sample

                  • Markets, accounts, CRM statuses and results (fictional)
                  • Engine run counts and timings
                  • CRM sync (no HubSpot or Salesforce connection)
                  • Provider hit rates and prices (illustrative)