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Calculate your customer support cost savings with SiteMind.

See how deflecting 65%+ of repetitive customer inquiries with a grounded AI assistant cuts labor costs, accelerates first-response times, and reclaims hundreds of agent hours every month.

Monthly Support Inquiries
2,500

Total customer questions, live chat pings, and email tickets received each month.

200 tickets10,00020,000+ tickets
Average Time Spent Per Ticket
10 mins

Average time a human agent spends reading, typing, looking up docs, and resolving a ticket.

3 mins (Quick)15 mins30 mins (Complex)
Average Support Labor Hourly Cost
$25 / hr

Fully-loaded hourly wage per support rep (including payroll, benefits, and tooling).

$15 / hr$50 / hr$100+ / hr
Projected ROI: 97.2xPayback in 1 days
Estimated Net Annual Savings
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($6,706 saved every single month)

Tickets Deflected (65%)
1,625 / mo
Agent Hours Reclaimed
271 hrs / mo
Recommended Plan
SiteMind Growth ($69/mo)
Response Latency
< 2.0s streaming
Start 3-Day Free Trial on Growth

No credit card required · 2-minute crawl setup

Deflection Arithmetic & Methodology

Transparent calculations based on verified support telemetry and flat SaaS economics.

01 / REPETITIVE LOAD

65% Deflection Benchmark

Grounded customer data shows that ~65% of incoming support inquiries are repetitive (pricing, setup, docs, shipping, hours) and instantly answerable by SiteMind with citations.

02 / CAPACITY

Handling Time Reclaimed

Reclaimed minutes per ticket are aggregated into total monthly agent hours, freeing your human support team to focus on high-value sales deals and complex retention cases.

03 / FLAT PRICING

Transparent Net Payback

Gross labor savings are offset by SiteMind’s transparent monthly plan ($25–$149/mo) with zero hidden dynamic model penalties, zero setup fees, and zero per-resolution surcharges.

Frequently Asked Questions

Detailed answers about how deflection is calculated, customer satisfaction impact, and plan tiers.

Start deflecting tickets on your website in under 2 minutes.

Index your knowledge base and test live grounded responses before writing a single line of code.

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