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Trailspark

Trailspark

Account Evaluation for B2B PLG & Hybrid GTM Teams

Overview

Trailspark is an account-evaluation platform for B2B product-led growth (PLG) and hybrid go-to-market teams. It helps operators decide which accounts deserve attention, what they are showing, and why, using signals from their product and other connected systems.

The PredictLeads integration adds two kinds of context to accounts already tracked in Trailspark: missing company details and third-party activity. Teams can enrich accounts with firmographics alongside hiring, financing, launches, office or market expansion, and relevant technology adoption. These signals become inputs to each company's configured account-scoring criteria.

Why use PredictLeads with Trailspark?

Product and CRM activity can show how an account engages with your business. PredictLeads adds publicly observable company developments beyond your product, so Trailspark can evaluate first-party and external signals together. Each team decides which outside signals matter to its ICP and propensity-to-buy model, rather than treating every activity as an automatic buying signal.

Key Capabilities

Company profile enrichment

Fill gaps in CRM records with industry, employee count, region, company type, and other company fields.

Third-party account activity

Attach hiring, fundraising, launches, expansion, and other public company activity to tracked accounts.

Smart enrichment options

Enrich every new account or wait until its product behavior qualifies it for scoring.

BYOK and usage controls

Connect your own PredictLeads API credentials, choose signals and technology keywords, and set daily and monthly credit caps.

Available PredictLeads data in Trailspark

Trailspark supports the full PredictLeads dataset catalog through its integration. Data available for company enrichment and account context includes:

Companies Job Openings News Events Financing Events Technology Detections Similar Companies Website Evolution

Example workflow: external signals that inform account scoring

Connect PredictLeads once, then let relevant outside signals inform account evaluation as tracked accounts are scored.

1

Connect your PredictLeads account

Open Trailspark's in-product integration settings, select PredictLeads, and enter your own PredictLeads API credentials. The integration is live on every Trailspark tier, including Free.

2

Configure enrichment preferences

Choose whether to enrich accounts immediately or only after enough behavioral activity qualifies them for scoring. Set signal categories, technology keywords, and daily and monthly credit limits.

3

Let Trailspark identify accounts

Once product data is mapped, Trailspark captures company domains from those product signals and automatically manages PredictLeads data requests.

4

Attach firmographics and outside signals

Matching company details and third-party activity are added to the existing account record in Trailspark.

5

Evaluate accounts and sync selected data

Trailspark interprets the signals using the customer's ICP and scoring preferences. Optionally, users can map enrichment fields into their CRM for persistence and see relevant context when prioritized accounts are surfaced.

Use cases by team

Trailspark operators can combine product behavior, CRM information, and external company signals when evaluating which accounts warrant attention.

Marketing Ops

  • Add company details when CRM fields are missing or incomplete
  • Use hiring, funding, and expansion activity to add context to account prioritization
  • Apply each team's ICP definitions to decide which external signals matter

RevOps

  • Combine product, CRM, and external account context in one scoring process
  • Map selected enrichment fields into the CRM for longer-term use
  • Control enrichment credit usage with eligibility rules and daily or monthly caps

GTM Ops

  • Surface account changes that may help explain why an account is prioritized
  • Use watched technology changes alongside first-party account activity
  • Choose immediate or behavior-qualified enrichment based on the GTM motion

"At Trailspark, we want to give users the ability to connect all of their own data sources, not try to resell them new data that they already have. PredictLeads makes that possible by providing customers direct access to their data with easy-to-use APIs. We were up and running with the integration within a week."

RD

Ronnie Duke

Founder, Trailspark

Resources

Trailspark Integrations

trailspark.ai/integrations

API Documentation

docs.predictleads.com

Need help?

Talk to PredictLeads or connect with an implementation partner.