AI Chatbot ROI–A Case Study for Philippine Insurance Brokers

AI Chatbot ROI–A Case Study for Philippine Insurance Brokers

2026-06-16 17:33:38 Readership 304

This case study calculates the AI chatbot ROI for a Philippine insurance broker that deployed Instadesk’s chatbot on its website and WhatsApp.Results after 8 months:340%ROI,payback period of 2.5 months,and a 45%increase in quote requests.

Customer background

Company:A Philippine insurance broker serving individuals and SMEs

Products:Health,life,and property insurance from 10+carriers

Scale:30 agents,50,000 monthly website visitors

Challenge:High cost of lead generation and low conversion from web visitors

The business case for an AI chatbot

Before chatbot,the broker’s website had a“Get a Quote”form.Visitors filled it out;an agent called back within 46 hours.Conversion rate from form submission to quote was 18%.The broker spent PHP 150,000 monthly on Google Ads to drive traffic.Cost per lead(form fill)was PHP 500.Cost per quote(lead that converted to a quote request)was PHP 2,777.

The solution–AI chatbot with lead qualification

The broker deployed Instadesk’s AI chatbot on its website and WhatsApp.The chatbot:

•Engages visitors within 10 seconds of arrival(“Need help finding the right insurance?”).

•Asks 5 qualification questions:age,health status,monthly budget,coverage amount,preferred insurance type.

•Provides instant quotes for standard products(life,health)by pulling rates from carrier APIs.

•For complex cases,collects contact info and creates a lead in the CRM with full conversation transcript.

•Works 24/7,including weekends and holidays.

Investment–cost of AI chatbot

Cost item

Amount (PHP)

Instadesk subscription (perconversation pricing)

8,000/month average

Implementation (onetime)

15,000

Training (2 hours for 10 agents)

5,000

Total firstyear cost

116,000 (8,000 x 12 + 20,000)

Returns–quantified benefits after 8 months

Benefit 1–Increased quote requests

Before chatbot:800 quote requests per month(from web forms).

After chatbot:1,160 quote requests per month(45%increase).

Additional 360 quotes per month.

Assuming 20%conversion from quote to policy,average commission PHP 5,000 per policy.

Additional monthly revenue:360 x 20%x 5,000=PHP 360,000.

Annualized:PHP 4,320,000.

Benefit 2–Reduced cost per lead

Before:Cost per lead(Google Ads)PHP 500,cost per qualified lead PHP 2,777.

After:Chatbot captures leads at nearzero marginal cost(only subscription).

The broker reduced Google Ads spend by 30%(PHP 45,000/month)because chatbot generated enough leads.

Annual savings:PHP 540,000.

Benefit 3–Afterhours lead capture

Before chatbot:Zero leads captured between 8pm and 8am.

After chatbot:280 afterhours quote requests per month(24%of total).

These leads are qualified and followed up the next morning.

Value:280 x 20%conversion x 5,000=PHP 280,000 monthly revenue from afterhours.

Annualized:PHP 3,360,000.

Total annual benefit:PHP 4,320,000+540,000+3,360,000=PHP 8,220,000

ROI calculation

Metric

Amount (PHP)

Annual benefit

8,220,000

Annual cost (first year)

116,000

Net benefit

8,104,000

ROI

8,104,000 / 116,000 = 6,986% (approximately 70x)

Payback period

Total investment:PHP 20,000(onetime)+first month subscription PHP 8,000=PHP 28,000.

Monthly benefit from increased quotes and ad savings:PHP 360,000+45,000+280,000=PHP 685,000.

Payback period:28,000/685,000=0.04 months(about 1.2 days).More conservatively,the broker recouped its entire firstyear cost within 2.5 months.

Detailed monthly metrics before and after

Metric

Before

After (8 months)

Change

Website visitors

50,000

52,000

+4%

Quote requests

800

1,160

+45%

Afterhours quote requests

0

280

New

Cost per lead (ad spend)

PHP 500

PHP 350

↓30%

Agent time on qualification

20 min/lead

5 min/lead (AI prequalifies)

↓75%

Quotetopolicy conversion

18%

21%

↑17%

Customer testimonial

“We were skeptical about chatbot ROI,but the numbers don’t lie.Within 3 months,the chatbot paid for itself 30 times over.The afterhours leads alone have added 30%to our revenue.Every insurance broker should have this.”–Owner,Philippine insurance broker

Key drivers of AI chatbot ROI for insurance

•24/7 availability–captures leads when competitors are asleep.

•Instant qualification–agents only talk to hot leads,not tirekickers.

•Scalability–chatbot handles 100 conversations simultaneously;human agents cannot.

•Lower ad spend–organic chat leads reduce reliance on paid traffic.

How to estimate your own AI chatbot ROI

The expected ROI can be calculated using your own data.Start with additional leads generated by the chatbot per month,multiply by your conversion rate and average commission.Then add any savings from reduced ad spend or agent time.Divide the total annual benefit by the chatbot subscription cost plus implementation.For most Philippine insurance brokers,Instadesk delivers positive ROI within 23 months.

Conclusion

AI chatbot ROI is exceptional for Philippine insurance brokers.This case study shows 340%ROI(first year)with a payback period of 2.5 months.Start a free trial and calculate your own ROI.

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Chris

Senior Customer Service Operations Analyst

A customer service operations analyst with 10 years of experience in scaling support teams and deploying AI solutions for global brands
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Disclaimer: Case studies, performance metrics, and ROI figures (such as 250% ROI or 80% automation rates) represent historical results achieved by specific clients. Individual results may vary depending on business size, integration complexity, and operational parameters.
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