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 Foodgraph'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 | Prioritize accounts with U.S.-only or U.S.-primary CPG operations |
| Employee Count | 10 to 500 employees for SaaS and analytics platforms, 50 to 5000 for retailers and brands | Mid-market SaaS and analytics companies first, enterprise retailers second |
| Industry / Vertical | Grocery retail, CPG brands, food and beverage SaaS platforms, retail analytics, e-commerce grocery, private label manufacturers | Prioritize grocery analytics SaaS and retail tech platforms, then CPG brands with large SKU catalogs |
| Key Qualifying Signal | Actively managing, syndicating, or analyzing 1,000 or more U.S. CPG SKUs, or building products that require structured product data at scale | Highest priority to companies with 10,000 or more SKUs or those whose core product depends on accurate CPG product data |
| Tech Stack | Data warehousing tools (Snowflake, Databricks), BI tools (Tableau, Looker), PIM systems (Salsify, Akeneo), e-commerce platforms (Shopify Plus, custom builds) | Prioritize accounts using Snowflake or Databricks, signaling data-infrastructure maturity and API integration readiness |
| Revenue / Funding | SaaS companies with $1M or more ARR or Series A and beyond, retailers with $10M or more annual revenue, CPG brands with $5M or more in retail sales | Funded Series A or later SaaS companies and established retailers deprioritize pre-revenue startups |
| Intent Signals | Publishing content about CPG data quality, product catalog management, private label growth, retail analytics, or NielsenIQ or Salsify alternatives, job postings for data engineers or catalog managers | Accounts with multiple intent signals in the past 30 days move to top of queue |
| Dimension | Qualified | Prioritization |
|---|---|---|
| Seniority | Director and above for enterprise accounts, Manager and above for SMB and mid-market | VP and C-Suite for initial outreach at retailers and large CPG brands, Director level at SaaS companies |
| Primary Titles | VP of Data, Head of Data Products, Director of Analytics, Chief Data Officer, VP of Product (data platforms), Director of Category Management, Head of Merchandising Analytics | Prioritize data and product leaders at SaaS and analytics platforms, then category and merchandising leaders at retailers |
| Secondary Influencers | Data Engineers, Product Managers overseeing catalog features, Business Intelligence Leads, E-commerce Managers | Loop in secondary influencers after primary contact engages |
| LinkedIn Keywords | CPG data, product catalog, SKU management, private label analytics, retail data, grocery data, food data, product syndication, category intelligence, NielsenIQ, Salsify, product enrichment | Prioritize profiles mentioning CPG data quality challenges or catalog management responsibilities |
| Persona | Level | KPIs | Related Challenges | Intent Signals | Related Benefits |
|---|---|---|---|---|---|
| VP of Data / Head of Data Products | VP | Data accuracy rates, pipeline reliability, time to ship data features, API uptime | Sourcing clean structured CPG product data at scale, maintaining freshness across 1M plus SKUs, building internal catalogs is costly and slow | Searching for CPG data vendors, posting about data quality issues, evaluating NielsenIQ or Salsify alternatives | Access to 1.9M structured U.S. CPG SKUs via API, reduces build cost, improves data freshness and coverage instantly |
| Director of Analytics / BI Lead | Director | Report accuracy, insight turnaround time, coverage of products analyzed | Incomplete or stale product attribute data breaks analytics models, gaps in private label coverage skew category insights | Publishing LinkedIn posts about grocery analytics challenges, attending food retail data conferences | Complete and current product attributes power accurate category and competitive analytics models |
| Head of Category Management / Merchandising Analytics | Director/Manager | Category performance, planogram efficiency, competitive price tracking accuracy | Cannot track competitor private label SKUs or new product launches without reliable catalog data | Researching private label growth trends, posting about assortment strategy | Real-time visibility into private label and national brand SKU launches across 60 plus grocery chains |
| Chief Data Officer | C-Suite | Data governance scores, cost of data acquisition, strategic data partnerships | Vendor consolidation, reducing dependency on expensive legacy providers like NielsenIQ, ensuring compliance and data quality standards | Evaluating data vendor contracts, publishing on data strategy or CPG data modernization | Replaces or supplements NielsenIQ at lower cost with higher private label and long-tail coverage |
| VP of Product (SaaS / Analytics Platform) | VP | Feature adoption, customer retention, NPS, speed of new data feature launches | Building food or grocery features requires reliable CPG product data that is too expensive or slow to source independently | Posting about product roadmap challenges, hiring data engineers or catalog specialists | Embeds Foodgraph catalog via API to power product features without building in-house data infrastructure |
We target data and product leaders at SaaS and analytics companies who are actively evaluating or frustrated with incumbent CPG data vendors, reaching out with a direct comparison angle that highlights Foodgraph's private label depth and SKU coverage advantage.
G2 Competitor Reviews
LinkedIn Post Mentions
Bombora Intent Topics
Foodgraph Blog Visitors
Enrich Company and Contact
Verify Email Address
Find Decision MakerIdentify Buying Committee
Email
LinkedInWe intercept SaaS and analytics companies about to invest heavily in building their own CPG data infrastructure, positioning Foodgraph as a faster and cheaper alternative that lets them redirect engineering resources to core product.
Job Board MonitoringLinkedIn Job PostsIndeed and Greenhouse ScrapeEnrich Account and StackIdentify Data LeaderVerify Contact EmailEmailLinkedInWe capture high-intent anonymous visitors from grocery retail, CPG brands, and food tech SaaS companies who browse Foodgraph but do not convert, then reach out within 24 hours with a personalized message tied to the pages they viewed.
Website Visitor ID
Warm Account Detection
Koala Intent SignalsEnrich Visitor ProfileMatch to ICP AccountVerify Decision Maker EmailIdentify Buying CommitteeEmailLinkedInWe reach out to freshly funded grocery and CPG SaaS companies in the days following their funding announcement, positioning Foodgraph as the data foundation needed to scale their product without building catalog infrastructure from scratch.
Funding Announcements
Press Release MonitoringLinkedIn Funding PostsEnrich Funded AccountFind Data and Product LeadersVerify EmailIdentify Buying CommitteeEmailLinkedInWe target retail and brand executives actively discussing private label strategy on LinkedIn, reaching out with Foodgraph's unique angle as the only catalog covering private label SKUs across 60 plus grocery chains at scale.
LinkedIn Post Engagement
LinkedIn Topic Monitoring
Common Room Social SignalsEnrich Engager ProfileQualify Account and RoleVerify EmailBuying 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.
