Investor backed account targeting

Investor backed account targeting

Target companies that recently raised funding, enriched with investor participation tags.

Target companies that recently raised funding, enriched with investor participation tags.

Why this matters

Why this matters

Sales and GTM teams waste resources chasing accounts without momentum. Traditional firmographics don’t reveal who has fresh capital to spend. Without investment signals, account prioritization is guesswork.

With web intelligence, Starzdata delivers funding-backed ABM lists, tagging accounts by sector, region, and investors. This transforms capital participation into a clear GTM signal — ready to integrate into CRM workflows for focused, high-yield targeting.

How Starzdata solves this

How Starzdata solves this

  • Define target sector, region, or investor filters

  • Extract recently funded companies with investors and round data

  • Score and rank accounts by funding recency and size

This segment is activated with a blend of trusted sources and your own inputs

Web intelligence

Curated APIs

User Input

What you get:

What you get:

  • Investor-backed account lists for CRM/RevOps.

  • Funding round details (stage, amount, date).

  • Investor participation tags for segmentation and personalization.

  • Prioritized account lists scored by recency and size of capital raise.

Sample data for this segment

#sector filter input(input)country filter input(input)investor filter input(input)company namecompany name confidencecompany urlcompany url confidencefunding round stagefunding round stage confidencefunding round datefunding round date confidencefunding round amount usdfunding round amount usd confidenceinvestor nameinvestor name confidenceaccount funding scoreaccount funding score confidence
1Cloud ComputingFRAccelDataForge Systems96%https://www.dataforge.io94%Series A95%2024-07-2892%1500000087%Partech95%7490%
2HealthTechUKIndex VenturesMediNova AI95%https://www.medinova.ai93%Series B96%2025-01-1593%3200000089%Accel96%8891%
3Renewable EnergyDEE.ON VenturesSolaris GridTech94%https://www.solarisgridtech.com91%Growth94%2024-11-0391%2500000087%E.ON Ventures95%6586%
4AgriTechSENorthzoneAgriNext93%https://www.agrinext.com90%Seed94%2024-09-1990%500000085%Northzone94%6187%
5FinTechUSSequoia CapitalNextGen Payments95%https://www.nextgenpay.io94%Series B96%2025-03-1294%3500000090%Sequoia Capital97%8292%
Showing 1 to 5 of 5 entries • Click row for details

Each record represents a recently funded company, enriched with investor participation.
The dataset captures sector, country, investor filters, company identifiers, funding stage, date, and amount, plus investor names.
It also computes an Account Funding Score, a composite based on recency and deal size, making the dataset CRM- and GTM-ready.

Your questions on this segment, answered

How does this integrate into GTM and RevOps workflows?

How does this integrate into GTM and RevOps workflows?

How does this integrate into GTM and RevOps workflows?

How does the Funding Score add value beyond raw funding amounts?

How does the Funding Score add value beyond raw funding amounts?

How does the Funding Score add value beyond raw funding amounts?

How does Starzdata ensure the accounts are activation-ready?

How does Starzdata ensure the accounts are activation-ready?

How does Starzdata ensure the accounts are activation-ready?

Can I filter by specific investors or investment stages?

Can I filter by specific investors or investment stages?

Can I filter by specific investors or investment stages?

How fresh is the data on funding rounds?

How fresh is the data on funding rounds?

How fresh is the data on funding rounds?

How is this different from simply filtering by “recent funding” in Crunchbase or PitchBook?

How is this different from simply filtering by “recent funding” in Crunchbase or PitchBook?

How is this different from simply filtering by “recent funding” in Crunchbase or PitchBook?

Your questions on this segment, answered

How does this integrate into GTM and RevOps workflows?

Starzdata delivers datasets in CSV/Parquet with a dictionary and Funding Score. This plugs straight into CRM, BI, or RevOps systems, ensuring account prioritization becomes part of your day-to-day playbooks.

How does the Funding Score add value beyond raw funding amounts?

Raw amounts don’t show the full picture. Our Funding Score blends recency, stage, and deal size into a single metric. This allows sales and GTM teams to prioritize accounts where capital is both recent and significant, making them more likely to invest in solutions now.

How does Starzdata ensure the accounts are activation-ready?

Each record is normalized with legal name, website, investor participation, funding date, and Funding Score. Lists are delivered clean and CRM-ready, meaning they can be directly imported into Salesforce, HubSpot, or Dynamics without additional cleaning.

Can I filter by specific investors or investment stages?

Yes. You can filter accounts by target investor names, investment stage (Seed, Series A, Growth, etc.), sector, or geography. This allows you to tailor your outreach around specific investor theses or market segments.

How fresh is the data on funding rounds?

Our pipelines monitor web intelligence, APIs, and filings daily, updating records within hours of a new funding announcement. This ensures your GTM activation aligns with the real market window, not weeks later.

How is this different from simply filtering by “recent funding” in Crunchbase or PitchBook?

Unlike generic funding databases, Starzdata not only tracks funding rounds but also tags accounts with investors, sector, and geography. We compute a Funding Score combining recency and deal size, so GTM teams can prioritize accounts that are both fresh and material, ready to activate directly in CRM or RevOps.

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