ROI

AI Support ROI Calculator

Calculate monthly support savings, deflection potential, and lead upside before rolling out an AI support chatbot.

  • Free to use
  • No signup required
  • Instant results
ROI Snapshot

Estimated monthly outcome

$202,315

Net of a Growth plan at $149 per month.

Support load removed

448

Conversations deflected per month — saving $8,064 ($96,768/yr).

Lead upside

$194,400

324 captured leads per month, or $2,332,800 annualized.

Recommendation

This looks like an immediate rollout candidate with room to scale.

Recommended starting plan: Growth. Validate these assumptions against live widget traffic once the bot is in production.

Intent

ROI

Capture buyers searching for savings, cost reduction, or chatbot justification.

Output

Monthly model

The page gives a simple economic estimate instead of generic product copy.

Next move

Support rollout

Best handoff is into support deflection or pricing-oriented use cases.

How it works

See the numbers before you commit.

Enter your ticket volume, cost per ticket, and deflection assumption. You get a monthly savings estimate, lead upside, and the Widgetora plan that fits — in one page, with no signup.

01

Enter your support volume

Add monthly ticket volume, average cost per ticket, and how much of that is repetitive. Conservative inputs give you a defensible number.

02

Review savings and leads

You'll see deflected tickets, monthly savings, and the sales conversations an assistant can surface alongside support.

03

Get your plan recommendation

Based on your numbers, we suggest the plan that fits — so you can move straight into a trial instead of comparing pricing cold.

FAQs

Common questions

Who should use an AI support ROI calculator?

It is most useful for teams with a steady stream of repetitive support conversations and a clear sense of cost per ticket. If support volume is still low or highly bespoke, use it as a directional model rather than a budgeting tool.

What makes the estimate more realistic?

Grounded source content, a realistic deflection assumption, and a clear escalation path matter more than aggressive percentage claims. The calculator is intended to be conservative enough to validate later against production traffic.

What should happen after the estimate looks good?

The next step is to launch a pilot: index support content, review unresolved conversations, and compare live behavior against the savings and lead assumptions from the model.

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Keep exploring.

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Next step

Turn useful results into a live assistant.

Create a workspace, index your content, and test real conversations against your support knowledge.

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AI Support ROI Calculator | Widgetora