Schedule Call Back from Busy Call Center – A Case Study for Indonesian Insurance

Schedule Call Back from Busy Call Center – A Case Study for Indonesian Insurance

2026-06-22 10:19:05 Readership 183

Indonesian insurance companies with busy call centers need a callback scheduling feature to reduce abandonment and improve customer satisfaction. This case study shows how an Indonesian insurer deployed Instadesk’s callback solution and reduced abandonment from 35% to 12%.

Customer background

Company: An Indonesian general insurer with 1 million policyholders
Industry: Insurance
Challenge: High call abandonment due to long wait times during peak hours

The challenge

The insurer received 8,000 calls daily, with peak volume between 10am-2pm. Average wait time during peak hours was 8 minutes. Call abandonment rate was 35% – meaning over 2,800 callers hung up daily without speaking to an agent.

Key problems:
• Customers frustrated by long hold times.
• Lost sales opportunities (prospective customers calling for quotes).
• Complaints to OJK about poor service.
• Agent burnout from high call volumes.

The solution – callback scheduling

The insurer deployed Instadesk’s callback feature. When wait time exceeds a configurable threshold (e.g., 2 minutes), the IVR offers callers two options:
• “Press 1 to continue holding.”
• “Press 2 to receive a callback when an agent becomes available.”
If the caller chooses a callback, the system captures their phone number, estimates the wait time, and calls them back when an agent is free – without losing their place in the queue.

Implementation and results

Deployment took 3 days. After 4 months:

Metric Before After Change
Call abandonment rate 35% 12% ↓ 66%
Average wait time (those who stayed) 8 minutes 3.5 minutes ↓ 56%
Customer satisfaction score 68% 85% ↑ 17 points
Callbacks offered per day 0 1,200 New
Callbacks accepted 0 780 (65% acceptance) New

How callback improved customer experience

• Customers no longer had to wait on hold for 8+ minutes.
• The callback feature gave customers control over their time.
• Agents handled calls at a steady pace without being overwhelmed.
• The insurer saw a 25% increase in quote requests from callers who chose callbacks.

Key lessons for Indonesian insurers

• Callback reduces abandonment – Customers prefer a callback over waiting on hold.
• Callback increases satisfaction – Giving customers choice improves their perception of service.
• Callback is easy to implement – Instadesk’s callback feature deploys in days, not weeks.
• Callback captures lost leads – Many callers who would have abandoned now stay in the queue via callback.

How Instadesk delivers callback scheduling

Instadesk’s call center platform includes callback scheduling as a standard feature. Key capabilities:

• Configurable wait time threshold (e.g., offer callback after 2 minutes).
• Estimated callback time announcement (e.g., “Your estimated callback time is 8 minutes”).
• Automatic call-back when agent becomes available.
• Queue position preservation – callers keep their place in queue.
• Integration with existing IVR – no changes to your current setup.

Conclusion

Scheduling callbacks from busy call centers is essential for Indonesian insurers to reduce abandonment and improve satisfaction. Instadesk provides an easy-to-deploy callback solution. Start a free trial and see your abandonment rate drop.

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Omnichannel Digital Operations: Driving Traffic Growth & Deepening User Value

A senior omnichannel digital operations expert with 10 years of in-depth industry experience, proficient in integrating public and private domain resources across all channels. Focusing on data-driven strategies, he/she excels at precision traffic acquisition, user lifecycle management, and user value deepening. Having led multiple projects, he/she has achieved doubled traffic volume and over 40% increase in user retention rate.
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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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