Overview
Loopster is a GTM orchestration platform where teams build lead lists, enrich records, run AI research, and organize sales workflows in tables. Alongside its own data, Loopster connects users to a marketplace of external data providers and lets them bring their own provider credentials.
The PredictLeads integration adds 12 native enrichment actions to Loopster. Each action works as a column in a table, using a company domain to retrieve structured company details, hiring activity, news, technologies, financing, business connections, and other research data.
Why use PredictLeads with Loopster?
A company list tells you who to target. PredictLeads helps explain what those companies are doing. In Loopster, those external signals sit next to the rest of an account record, making it easier to research, segment, score, and build GTM plays around real company activity.
Key Capabilities
12 native PredictLeads actions
Enrich companies and retrieve jobs, news, technologies, funding, connections, lookalikes, filings, products, and more.
Company-specific filters
Narrow results by job title, location, date, technology, investor, event category, or keyword, depending on the action.
Two payment options
Run on Loopster's PredictLeads account via its wallet, or connect your own key and pay PredictLeads directly.
GTM workflow building blocks
Combine enrichment columns with Loopster Functions, Loopgents, scoring, and connected CRM or outreach workflows.
How PredictLeads works inside Loopster
Add a PredictLeads action as a column and map the Company Domain field (for example, @{domain}). Most actions also accept optional filters. Results are returned in the row, ready to use alongside other Loopster enrichment, research, and execution steps.
Available PredictLeads actions in Loopster
Bring company intelligence directly into your Loopster workflows with 12 ready-to-use PredictLeads actions. Use these insights to discover new opportunities, enrich your prospect lists, identify buying signals, and build smarter, data-driven GTM workflows.
Example workflow: hiring signals to qualified outreach
Use PredictLeads company intelligence as inputs to an account research and prioritization workflow inside Loopster.
Start with target account domains
Create or import a Loopster table with one company domain per row.
Add PredictLeads columns
Use Find Open Jobs, Find Recent News, and Find Technology Stack. Add financing or connections when relevant to the campaign.
Focus the signals
Apply job title or department keywords, news categories, relevant technologies, and recency filters to reduce noise.
Score and segment the accounts
Use the returned columns with Loopster formulas, a Loopgent, or a reusable Function to evaluate which accounts match the campaign criteria.
Move qualified accounts into execution
Use Loopster's connected CRM or outreach steps to route the selected accounts and their research context.
Use cases by team
PredictLeads brings company-level research and external business signals into the same workspace where Loopster teams build and run GTM plays.
Sales & SDR Teams
- Prepare outreach using company hiring, financing, technology, and recent news activity
- Review partners, customers, and similar companies before account engagement
GTM Engineering & RevOps
- Standardize domain-based enrichment and signal filters across account tables
- Combine PredictLeads columns with scoring, reusable Functions, and CRM routing logic
GTM Agencies & Marketing
- Build repeatable research and segmentation workflows for different industries or clients
- Identify relevant accounts from funding rounds, expansion news, and hiring patterns
Research & Strategy
- Review company profiles, SEC filings, products, public repositories, and website pages
- Explore technology adoption, business connections, and lookalike companies
Resources
PredictLeads on Loopster
Loopster PredictLeads Setup & Fields
Loopster
API Documentation