MarketSizer vs PredictLeads

PredictLeads is an event-data API for teams that build their own signal pipelines. MarketSizer is subscription-event intelligence delivered straight to reps. Raw feed or finished layer - that is the choice.

How PredictLeads describes itself

Company event data for B2B GTM teams.

Source: predictleads.com homepage
What MarketSizer tracks live
70M+
subscription records
17M+
active subscriptions
2.5M+
active trials
200+
vendors indexed
See MarketSizer vendor intelligence

Best known for / useful for

PredictLeads

Best known for

A company-events API that surfaces business events (hiring, funding, product launches, expansions, exec changes) as structured signals for GTM teams.

Useful for

Data and RevOps teams that want raw company-event feeds via API to plug into their own scoring, enrichment or outbound workflows.

MarketSizer

Best known for

Subscription intelligence - accounts ranked by observable buying events on the target account's software stack, packaged for reps rather than for API consumers alone.

Useful for

GTM teams that want subscription-lifecycle signals (trials, switches, renewals, churn) delivered inside the workflow reps already use.

Where PredictLeads is strong

  • Structured event data delivered via a well-documented API - easy to plug into any downstream tool.
  • Broad event categories: hiring, funding, expansion, product launches, executive changes, more.
  • Well-priced for teams that want event data as an input to their own scoring or enrichment logic.
  • Global coverage across companies of all sizes.
  • Popular with RevOps and data teams building custom signal workflows.

Feature-by-feature comparison

Feature-by-feature comparison of PredictLeads and MarketSizer
FeaturePredictLeadsMarketSizer
Signal shape
Company events (hiring, funding, product, exec change)IncludedVia integrated data partners
Subscription-lifecycle events (trial, switch, renewal, churn)Not includedIncluded
Signal explainability at the event levelIncludedIncluded
Delivery
API-firstIncludedIncluded
Rep-facing UIAPI-first; dashboard secondaryIncluded
Chrome-extension side panel in CRMs and LinkedInAPI delivery modelIncluded
Two-way CRM syncVia API and data platformsHubSpot, Pipedrive and Zoho CRM
Category depth
Subscription-event historical datasetCompany events, not subscriptions70M+ records
Deep per-vendor subscription historyNot their category200+ vendors, deep history

MarketSizer pricing as published at marketsizer.io/pricing. PredictLeads details as published on their own site and public documentation, last checked 8 August 2026. Spotted something out of date? Tell us and we will fix it.

Which team should choose which

Choose PredictLeads if

  • Your team has the engineering and RevOps resource to consume event data via API and score it inside your own workflows.
  • Hiring, funding and executive-change events are the primary triggers for your outbound.
  • You want broad event coverage across companies of all sizes rather than deep subscription-event history per vendor.
  • You already run a rep-facing signal surface and want a clean event feed underneath it.

Choose MarketSizer if

  • Your deciding event is subscription-lifecycle (trial, switch, renewal, churn), not hiring or funding.
  • You want events delivered to reps alongside HubSpot, Salesforce, LinkedIn and Apollo, not consumed via API into a custom pipeline.
  • You want each signal ranked into an Opportunity Score alongside ICP fit and win-likelihood, not delivered as raw events.
  • Category-deep subscription history matters more than event-category breadth.

What buyers say about the category

Themes from GTM leaders currently evaluating tools in this space.

Data teams speak well of PredictLeads: structured company events, a clean API, easy to pipe into whatever they are building. The pattern we hear concerns coverage shape rather than quality. Public events - hiring, funding, launches - light up the companies that generate public activity and stay dark on the rest. Subscription events move independently of a company's press cadence, which is why the two feeds pair well.

MarketSizer vs PredictLeads - frequently asked questions

Are PredictLeads and MarketSizer competitors?

Different segments of the event-based signal category. PredictLeads focuses on company events (hiring, funding, product, exec changes); MarketSizer focuses on subscription events (trial, switch, renewal, churn) on the target account's software stack. Complementary in a mature signal stack.

How is MarketSizer different from PredictLeads?

PredictLeads is API-first structured event data, primarily consumed by RevOps and data teams building custom pipelines. MarketSizer is rep-facing subscription intelligence - the events are delivered directly into the workflow reps already use, ranked into an Opportunity Score alongside ICP and win-likelihood.

Can PredictLeads and MarketSizer be used together?

Yes. PredictLeads supplies broad company events (hiring, funding, exec change); MarketSizer supplies deep subscription events on the target account's software stack. A mature signal stack often runs both, cross-referenced inside the CRM.

How does PredictLeads pricing compare with MarketSizer?

PredictLeads quotes API pricing on request - check their site for current terms. MarketSizer is credit-based (see current plans), with no per-seat multiplier.

Which one is better for outbound SDRs directly?

MarketSizer, in most cases, because it is rep-facing by default (Chrome extension side panel alongside HubSpot, Salesforce, LinkedIn and Apollo). PredictLeads is built API-first, which is a strength for data teams and a build step for SDR teams.

See MarketSizer next to your PredictLeads data.

30 minutes on your accounts, tailored to your ICP. We show which companies are trialling, switching or renewing right now, so you can see whether the timing signal changes what your team does next.

500 credit trial No credit card Live data, not a slide deck

PredictLeads and all other product names, logos and brands referenced on this page are trademarks of their respective owners, used for identification and comparison purposes only. No endorsement or affiliation is implied.