Prove support ROI
Make the support ROI case with real numbers
Support is usually budgeted as a cost centre, which makes automation a hard sell. Work out what your current ticket volume costs, what deflection is worth, and what the payback period actually looks like.
How does ChatFlo help you prove support roi?
Support automation ROI comes down to three numbers: your monthly ticket volume, your fully-loaded cost per ticket, and the share of tickets an agent can realistically deflect. ChatFlo's free calculator works the payback period from those inputs, and the platform reports the deflection rate afterwards so the projection can be checked against reality.
The problem
Why this is hard to solve by hand
Support is budgeted as a cost centre
Without a number attached, "we should automate support" competes badly against roadmap items with revenue projections.
Nobody knows their cost per ticket
Most teams have never worked out the fully-loaded figure — salary, tooling, and management time divided by resolved tickets.
Vendor claims are unfalsifiable
"Automate 70% of your support" means nothing without knowing which 70%, measured how, and against what baseline.
How ChatFlo does it
Put a number on what automation is actually worth.
Start from your own volume
The calculator takes your monthly ticket count, team size, and cost per ticket rather than an industry average that may not resemble you.
Model a realistic deflection rate
Deflection depends on your ticket mix. Model a conservative rate and a stretch rate, and see how the payback period moves between them.
Measure against the projection
After rollout, the platform reports how many conversations were resolved without a human, so the estimate can be checked rather than assumed.
Count the response-time gain too
Cost saved is only half of it. Faster first response affects conversion and retention, which usually matters more than the headcount arithmetic.
Work out your own numbers
Use the free calculator to get a payback period from your real ticket volume and cost per ticket.
Frequently asked questions
Model a range rather than a single figure. Teams whose volume is mostly order and how-to questions deflect a lot; teams handling bespoke account problems deflect much less. Run a conservative and a stretch case and see whether the decision changes between them.
Take fully-loaded support salaries plus tooling and a share of management time, then divide by tickets resolved in the same period. Most teams find the figure is higher than they expected once tooling and management are included.
Compare conversations the agent resolved without a human against your pre-rollout baseline. The point of writing the projection down first is that it can then be checked.
Yes, and it does not require an account. It runs in the browser from the numbers you enter.
Further reading
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