AI-powered Credit Simulator

Estimate your Evergrowth
credit usage

Configure your playbooks and see exactly how many credits you'll need — with a recommended plan and price.

Currency:

One-Time Usage

%
AgentCreditsVolumeCredit spend
Domain finder Domain finder
00
Account qualification× agents
00
Account research× agents
00
Contact finder× agents
00
Contact qualification
100
Contact research× agents
00
Email data waterfall
000
Phone data waterfall% enrich.
000
Account planning
100
Play copywriting
100
Total one-time credits0

Weekly Playbooks Usage

Outbound new TAM playbook
%
0 contacts / week
0 contacts / month
Signals monitoring playbook
Post event playbook
%
0 ICP contacts / week
0 ICP contacts / month
Inbound qualification playbook
%
0 ICP contacts / week
0 ICP contacts / month
CRM contact recycling
Add new contacts to recycled accounts
AgentCreditsWeekly vol.Weekly cr.Monthly cr.Yearly cr.
Domain finder Domain finder
0000
Account qualification× agents
1,0003001,20014,400
Account research× agents
1,0003001,20014,400
Contact finder× agents
1001004004,800
Contact qualification
11001004004,800
Contact research× agents
1001004004,800
Email data waterfall
00000
Phone data waterfall% enrich.
00000
Account planning
10000
Play copywriting
10000
Total2,3008303,32039,840
Monthly Credits
3,320
drives plan choice
One-Time Credits
0
top-up purchase
Price Per Credit
€0.17
on recommended plan
FTE Equivalent
≈ 0.9
of rep time freed
S
Recommended: Starter
5.8K credits/mo 10 parallel AI agent runs Unlimited users
€997
/month
= €11,960/year
Yearly billing: €10,800/yr (-10%)
50%
Manual Labour Cost
labour displaced
Hours Saved
of manual research displaced
Monthly Savings
labour minus subscription
ROI vs Labour
manual cost / Evergrowth cost
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What GTM teams are saying

"We extracted all the companies we had touchpoints with in the last 10 years. Out of 89, Evergrowth validated 37 as ICP-fit. Out of 278 contacts, only 4 were still valid personas. Then agents found us 73 new ones. Accurate data is much more important than a lot of data which is not qualitative."
"Evergrowth let me create, launch, scale, and maintain a super efficient GTM engine without hiring internal or external resources. It allowed me as a head of sales to be my own GTM engineer. It replaces most tools. No need for Apollo or Clay. My tech stack is now Evergrowth, HubSpot, and a dialer. That's it."
"Before Evergrowth, we spent countless hours building lead lists, updating spreadsheets, and chasing follow-ups. Our sales playbooks and GTM ideas were trapped across Google Docs and Asana boards. Now we build, test, and refine motions directly in our reps' workflow, with AI agents handling execution. What used to take weeks now happens in hours or minutes."
"We've always struggled to find high-quality accounts as most data vendor tools rely on basic filters that just don't go deep enough. Since using Evergrowth, our lead quality has improved by up to 50%. Agents surface the right contacts and key account metrics before our reps even log in. Now our team spends less time digging and more time selling to accounts that actually matter."
"What was really great to see is that sales reps go into the system and start running agentic workflows by themselves. That's something I would not expect two years ago. It contributes to the business. And I realize this is just the beginning, because there are a lot of other workflows we can create. The AI platform searches for us relentlessly until it finds what we need."