The AI tools, prompts, and workflow systems used by in-house B2B demand gen teams — built in production, documented in full.
Every stack on this page is built around a single use case a B2B demand gen manager actually runs into. Each one shows you the exact tools, the Claude prompt that drives it, and the workflow logic that connects them. Wave 1 stacks are live now. New stacks drop weekly — subscribe to get each one as it ships.
Pulls weekly performance data from Google and LinkedIn Ads, runs it through a structured Claude prompt, and posts a formatted summary to Slack — no spreadsheet required.
View stack →Connects CRM pipeline data with GA4 sessions to build a complete attribution picture across the funnel — from first touch to closed-won.
View stack →Audits keyword performance, surfaces wasted spend, and generates bid and budget recommendations — so your weekly optimization isn't a gut-feel exercise.
View stack →Analyzes audience performance, creative fatigue, and CPL trends across your LinkedIn campaigns — and produces a prioritized optimization brief you can act on Monday morning.
View stack →Monitors CPL across every active campaign weekly, cross-references cost changes with CRM lead quality data, and sends a Slack alert before CPL drift becomes a budget problem you have to explain in a leadership review.
View stack →Pulls campaign spend and pipeline contribution from Google Ads, runs a Claude reallocation analysis, and outputs prioritized budget moves with rationale — so every mid-month budget decision is data-driven.
View stack →Builds a bottoms-up paid media forecast from historical CPL and conversion rates — with base, upside, and downside scenarios your finance team and CMO will actually engage with.
View stack →Connects Meta Ads campaign performance with CRM lead quality data and analyzes with Claude — identifying which Meta audiences generate qualified pipeline vs. which are burning on unqualified volume.
View stack →Combines Salesforce account data, LinkedIn buying team signals, and intent data to tier target accounts in Claude — with personalized outreach angles generated for every Tier 1 account.
View stack →Uses Salesforce lost-opp data and ad platform pixel audiences to build segmented retargeting audiences and copy — focused on prospects who stalled, not just visitors who bounced.
View stack →Audits LinkedIn audience configuration against CRM lead quality data and generates a targeting brief: which segments to expand, suppress, and test — so budget doesn't keep flowing to stale audiences.
View stack →Pulls standardized performance data from Google, LinkedIn, and Meta simultaneously, runs a cross-channel efficiency analysis in Claude, and outputs a unified dashboard with a Slack summary before your next standup.
View stack →Runs enriched lead records through a Claude scoring model that flags high-intent signals, ICP fit, and disqualifiers — before a rep wastes a call on a lead that was never going to close.
View stack →Enriches inbound leads with firmographic and technographic data, then scores them against your ICP definition — filtering out noise before it hits your CRM.
View stack →Rebuilds your Marketo lead scoring model from closed-won data — identifying which behaviors are predictive and which are noise, then outputs an updated model and audit report.
View stack →Enriches inbound leads at form submission, runs them through a Claude bad-lead pattern detection prompt, and routes by ICP tier — so only sales-ready leads ever reach the rep queue.
View stack →Automatically enriches net-new leads with firmographic and technographic data from Clay, Clearbit, and Apollo — scoring each record against your ICP criteria in Claude before pushing back to Salesforce and HubSpot for routing.
View stack →Scores MQLs against defined SQL criteria in Claude, stage-updates qualifying leads in Salesforce, and routes non-qualifiers back to nurture with a reason — closing the loop between marketing and sales.
View stack →Analyzes your highest-intent search queries alongside landing page conversion data and intent signals — then builds a prioritized plan for what content to optimize or create to capture the demand already searching for you.
View stack →Combines Bombora or 6sense intent signals with Salesforce CRM data, classifies accounts as Hot, Warm, or Cold in Claude, and triggers Salesforce tasks or Outreach sequences within the same session.
View stack →Generates a weekly demand gen summary across pipeline, paid media, and conversion metrics — formatted for stakeholder review without a manual slide build.
View stack →Builds a multi-touch attribution model that maps touchpoints to pipeline and revenue — giving you a defensible answer when leadership asks where the pipeline is really coming from.
View stack →Connects Salesforce closed-won data with Marketo multi-touch attribution and ad spend to build a revenue-by-channel model — so you can defend every budget decision with actual closed revenue, not just MQL volume.
View stack →Consolidates GA4, Salesforce, and paid media data into a single analysis layer — running through a Claude executive summary prompt that connects channel activity to pipeline outcomes in one brief.
View stack →Runs a cross-channel performance analysis across Google Ads, LinkedIn Ads, and Marketo — identifying top-performing campaigns, flagging performance decay, and generating a structured debrief for Notion.
View stack →Pulls spend, pipeline, and revenue data across systems, runs it through a Claude exec summary prompt, and produces a defensible ROI narrative for leadership — without the four-hour manual build.
View stack →Pulls Salesforce pipeline data and GA4 channel context, runs a Claude pipeline gap analysis, and produces a stakeholder-ready pipeline summary in under 30 minutes — formatted for Slides or Slack.
View stack →Combines a live Looker Studio dashboard with a weekly Claude narrative summary — so executives get both the numbers they can drill into and the context that explains what the numbers mean.
View stack →Diagnoses Marketo nurture performance — open rates, click rates, unsubscribe patterns, and stage progression — and generates a prioritized optimization playbook.
View stack →Diagnoses email nurture performance by comparing Marketo engagement data with Salesforce stage progression — then generates rewritten subject lines and sequence restructuring recommendations you can implement this week.
View stack →Connects Salesforce campaign influence data with Pardot or Marketing Cloud program metrics and audits with Claude — surfacing which marketing programs are genuinely driving pipeline and which have attribution tracking gaps.
View stack →Audits HubSpot workflow and email program performance against CRM deal influence data — generating a prioritized diagnostic of what to rebuild, optimize, or pause in your HubSpot demand gen architecture.
View stack →Exports CRM records, enriches with Clearbit to check for job changes and invalid emails, runs a Claude duplicate and stale data audit, and delivers a severity-ranked cleanup list your team can act on the same week.
View stack →Monitors Marketo and Zapier workflow execution against expected lead volumes from Salesforce — flagging automation gaps, error rates, and downstream impact in a weekly ops health report before anything breaks visibly.
View stack →Enriches incomplete Salesforce records with company size, tech stack, and buying committee data from Clay, Apollo, and ZoomInfo — then applies your ICP segmentation logic in Claude and pushes structured tags back to your CRM.
View stack →Audits Marketo smart campaign performance and Salesforce lifecycle stage data to identify misfiring triggers, stalled wait steps, and broken automation sequences — with specific fix recommendations ranked by downstream impact.
View stack →Converts a campaign brief into a complete ops launch checklist — pre-launch, launch-day, and post-launch tasks across Marketo and Salesforce, with owners and dependencies flagged.
View stack →Audits Marketo nurture programs against Salesforce lifecycle data to find misfiring triggers, stalled wait steps, and broken sequences — with fix recommendations ranked by pipeline impact.
View stack →Builds a demand gen forecast from historical pipeline actuals, channel benchmarks, and seasonality — with a Google Sheets model and Slack summary that finance can actually stress-test.
View stack →Designs structured creative tests with clear hypotheses, pre-set evaluation criteria, and a Notion test log — so creative decisions build institutional knowledge instead of gut feel.
View stack →Analyzes your top-performing ads to extract the patterns that actually work, then generates structured copy variants across five distinct angles — headline, description, and long-form — ready to paste into your ad platform.
View stack →Combines GA4 conversion data and Hotjar behavioral signals with your current page copy — then generates a ranked A/B test backlog with rewritten headline, subheadline, and CTA variants ready to implement.
View stack →Pulls ad platform and landing page performance data to generate a structured hypothesis backlog — ranked by expected impact relative to implementation effort — so you always know exactly what to test next.
View stack →Analyzes Marketo open rate patterns by audience segment and generates 5 hypothesis-backed subject line variants per send — with a Notion test log that builds a cumulative subject line pattern library over time.
View stack →Uses ICP profiles and top-performing content data to generate pipeline-influencing drafts and distribution plans — grounded in what's actually influencing deals, not just traffic.
View stack →Turns a Salesforce pipeline gap, ICP profile, and budget constraints into a structured campaign brief with channel mix, messaging framework, and a Slack summary for leadership alignment.
View stack →Diagnoses a pipeline shortfall as a volume, velocity, mix, or conversion problem — then recommends the single most impactful lever, so you fix the right thing instead of adding more spend.
View stack →Synthesizes ICP profiles, Salesforce loss data, and pipeline gaps into a differentiated campaign strategy with positioning that exploits competitor weaknesses and an exec summary for alignment.
View stack →Builds a quarterly demand gen plan from pipeline math and historical channel performance — with channel allocation, program recommendations, and a Google Sheets model grounded in your own data.
View stack →Builds a B2B GTM playbook from ICP research, market sizing, and competitive data — with target segment prioritization, channel strategy, launch sequencing, and a cross-functional launch checklist.
View stack →Get the stacks before anyone else.
New stacks drop every week — tools, prompts, and the workflow logic behind them. Free. Built for in-house demand gen managers at B2B SaaS companies.