gtmagency
gtmagency
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Previously ran growth for 500+ SaaS companies through their product launches. Our team has also worked with companies backed by
This playbook maps Ramp Metrics's ideal customer profile across account, prospect, and persona dimensions, then lays out 5 signal-based outbound plays. Each play fires on a specific buying signal so your outreach lands the moment a prospect is most likely to act.
| Dimension | Qualified | Prioritization |
|---|---|---|
| Geography | United States, Canada, United Kingdom, Australia | Tier 1: US-based HQ with remote-first marketing team |
| Employee Count | 50 to 1,000 employees; marketing team of 3 or more | Prioritize 100 to 500 employees where marketing ops exists but is not overstaffed |
| Industry / Vertical | B2B SaaS, Cloud Infrastructure, DevTools, Cybersecurity, MarTech, FinTech SaaS | Prioritize companies with documented pipeline targets and board-level marketing accountability |
| Key Qualifying Signal | Running paid campaigns on 2 or more ad networks (LinkedIn, Google, Meta, Bing) without a multi-touch attribution tool (Bizible, Rockerbox, Triple Whale, or Rampmetrics) in their stack | Highest priority: companies spending $20K or more per month on paid with no attribution layer detected |
| Tech Stack | Salesforce or HubSpot CRM, HubSpot or Marketo or Pardot MAP, Google Ads, LinkedIn Ads, Slack | Prioritize Salesforce + HubSpot MAP or Salesforce + Marketo combos with no attribution middleware |
| Revenue / Funding | Series A through Series C, $5M to $100M ARR or post-Series B funded | Prioritize Series B and Series C where CMO is under pressure to justify marketing spend to board |
| Intent Signals | Searching for 'marketing attribution software', 'multi-touch attribution', 'pipeline attribution', 'marketing ROI tracking', 'Bizible alternative' | Prioritize accounts with 3 or more intent signals in the past 30 days |
| Dimension | Qualified | Prioritization |
|---|---|---|
| Seniority | Director through C-Suite | VP and above for outbound; Directors as secondary warm path |
| Primary Titles | VP of Marketing, CMO, VP Demand Generation, Director of Demand Generation, Director of Marketing Operations, VP Marketing Operations | CMO and VP Demand Gen as primary economic buyers; Marketing Ops as champion |
| Secondary Influencers | Director of Digital Marketing, Marketing Analyst, Revenue Operations Manager, VP Revenue Operations | RevOps is a strong co-champion when Salesforce is in the stack |
| LinkedIn Keywords | 'demand generation', 'pipeline attribution', 'marketing attribution', 'full-funnel reporting', 'marketing ops', 'multi-touch', 'revenue marketing', 'marketing ROI', 'campaign performance' | Prioritize profiles that mention pipeline ownership or board reporting in their bio or posts |
| Persona | Level | KPIs | Related Challenges | Intent Signals | Related Benefits |
|---|---|---|---|---|---|
| VP of Demand Generation | VP | MQL volume, pipeline sourced, cost per opportunity, campaign ROI by channel | Cannot prove which campaigns drive pipeline, over-relies on last-touch attribution, wastes budget on underperforming channels without knowing it | Searching 'multi-touch attribution tool', posting about pipeline reporting struggles, attending demand gen webinars | Multi-touch attribution shows exact channel contribution to pipeline, saves 15 hours per week on manual reporting, enables budget reallocation to top performers |
| CMO | C-Suite | Marketing-sourced pipeline, marketing-influenced revenue, marketing ROI, board deck readiness | Cannot present credible marketing ROI to board, attribution is fragmented across GA4 and spreadsheets, defending budget in QBRs without proof | Searching 'marketing attribution board reporting', job posting for marketing analyst, posting about proving marketing value | Board-ready pipeline and ROI dashboards generated automatically, Salesforce-embedded reports, unified view of marketing-sourced vs. influenced revenue |
| Director of Marketing Operations | Director | Data accuracy, system integrations, reporting turnaround time, martech stack efficiency | Spends excessive time stitching together data from CRM, MAP, and ad networks, attribution model is outdated or broken, no single source of truth | Evaluating attribution tools on G2, searching 'Bizible alternative', joining MarTech Slack communities | 1-hour setup with pre-built Salesforce and HubSpot integrations, clean multi-touch data delivered via API to any BI tool, eliminates manual spreadsheet workflows |
| Director of Digital Marketing | Director | ROAS by channel, cost per lead, conversion rates, closed-loop ad performance | Cannot tie LinkedIn or Google ad spend to closed revenue, GA4 data does not connect to CRM, making optimization decisions on incomplete data | Searching 'closed-loop ROI LinkedIn Ads', running A/B tests without downstream conversion data | Closed-loop ROI tracking for Google, LinkedIn, Meta, and Bing with revenue tied directly to ad spend, enabling true ROAS optimization |
| VP of Revenue Operations | VP | Full-funnel conversion rates, pipeline velocity, attribution accuracy, CRM data hygiene | Attribution data in CRM is unreliable or missing, marketing and sales have conflicting pipeline numbers, cannot model which campaigns accelerate deal velocity | Searching 'Salesforce marketing attribution integration', attending RevOps conferences, posting about pipeline data gaps | Native Salesforce integration with clean multi-touch attribution data, unified pipeline influence reporting, journey visualization tied to deal stages |
We identify B2B SaaS companies burning paid budget across two or more ad networks with zero closed-loop attribution, then reach out to the VP Demand Gen or CMO with a message anchored on the exact revenue they cannot see. This works because the pain is live and provable before the first email sends.
Detect Ad Tech Stack
Confirm LinkedIn Ads ActiveCheck Attribution Tool Absence
Enrich Company Profile
Find Funding and ARR
Find Prospect EmailsIdentify Buying Committee
EmailWe target marketing leaders at companies actively using or evaluating Rampmetrics competitors, positioning a direct comparison on setup time, Salesforce integration depth, and price. These buyers already have attribution budget approved and are looking for a better solution.
Scrape Competitor G2 Reviews
Scrape Competitor Followers
Monitor Competitor MentionsEnrich Account and Contact
Verify EmailsScore ICP FitEmail
LinkedInWe monitor when known Rampmetrics champions or warm contacts land at new companies and reach out within days of their job change. These buyers already trust the product and are in a position to advocate for or purchase Rampmetrics again, making this the highest-conversion outbound motion available.
Track Champion Job ChangesMonitor LinkedIn AnnouncementsEnrich New Company ProfileCheck Current Attribution StackFind Updated Contact InfoIdentify Buying CommitteeEmailLinkedInWe intercept B2B SaaS companies actively signaling attribution pain through their hiring activity. A company recruiting for these roles with these keywords is either building a reporting function from scratch or replacing a broken one, making them an ideal candidate for Rampmetrics before they hire and spend 6 months building internally.
Monitor Job PostingsScrape LinkedIn JobsEnrich Company and StackFind CMO and VP Demand GenVerify EmailsIdentify Buying CommitteeEmailWe monitor LinkedIn for marketing leaders actively expressing attribution frustration or asking pipeline questions in posts and comments, then reach out within 24 hours with a message that mirrors their exact language. This works because the prospect has self-identified the pain publicly, removing all cold outreach friction.
Monitor LinkedIn PostsScrape Post EngagementTrack Topic KeywordsEnrich Prospect ProfileVerify Work EmailCheck Company StackBuying CommitteeLinkedInYou'll have qualified demos booked in your calendar within 45 days: infrastructure, sequences, and live campaigns installed for you.
You don't pay a retainer. Everything we build belongs to you from day one: data, playbooks, and infrastructure.
If by day 45 you aren't seeing qualified demos booked in your calendar, we keep working completely for free until you do.
We build and install a fully automated, signal-based outbound system, outbound, ads, and content, in a 45-day sprint. No retainer, and you own everything. Demos booked in 45 days or we work free until they are.
