AI credits pricing
FirstQuadrant uses a single, flexible AI credit system where credits are spent based on usage—like imports, enrichment, actions, or campaigns. Credits scale with activity, not seats, and plans offer predictable monthly or flexible annual options with rollover. ScaleUp users benefit from unlimited seats.
FirstQuadrant operates on a flexible credits-based pricing system. Credits are used to power various AI-driven features and automation throughout the platform. The way credits are allocated and consumed depends on your billing plan.
Why FirstQuadrant uses a credit-based pricing model
Credit-based pricing lets FirstQuadrant align cost with real usage and outcomes, not headcount.
- No per-seat pricing: We want everyone on your team using the platform. The more inboxes connected, the better the AI performs.
- Aligned incentives: You pay for outcomes, not access. FirstQuadrant only benefits when you use the product to drive real results.
- Flexible structure: Monthly plans are predictable; annual plans allow unused credits to roll over.
Monthly vs. annual plans
Monthly plans
- You receive a fixed number of credits each month.
- Unused credits do not roll over—they expire at the end of each billing cycle.
Annual plans
- You receive a fixed number of credits each month, just like with monthly plans.
- Unused credits roll over—they accumulate month-to-month for the duration of your subscription.
Info If you’re on the Scaleup plan, you get unlimited seats—so your entire team can use FirstQuadrant without additional per-user costs.
AI credits breakdown
FirstQuadrant uses a single type of AI credit, but credits are spent in different ways depending on the specific AI-powered task being performed. Below is a breakdown of how credits are consumed:
Credits are consumed whenever you use AI-powered features like importing, enrichment, campaign generation, or triggering actions. Here’s a detailed breakdown:
Import credits
- 1 credit per contact imported
Applies to imports via API, CSV upload, or Apollo integration. - 1 credit per 10 records qualified using Perplexity search
AI is used to fetch external data like “Is this a remote-first company?” - 1 credit per 100 records qualified using internal data
AI qualifies records based on FirstQuadrant’s internal datasets (e.g., detecting if a company is B2B based on its description).
Enrichment credits
- 1 credit per 10 records enriched using Perplexity search
External data is fetched using Perplexity, such as funding round information. - 1 credit per 100 records enriched using internal data
FirstQuadrant AI enhances data using proprietary datasets.
Action credits
- 3 credits per action processed
These credits are used when FirstQuadrant processes input data (e.g., emails, calendars, updates, notes) and decides the next best sales action.
Campaign credits
- 1 credit per 10 email sequences generated
FirstQuadrant uses AI to generate personalized outbound campaigns, including full multi-step email sequences.