Salary of Customer Service Executive in India 2026
How much does a Customer Service Executive earn?
₹2,70,031
/ Annual
Based on 120 job listings
Salaries are calculated as the average of salary ranges published in job listings. Data is aggregated monthly by job position.
₹70,000 Average salary
₹2,70,031 Maximum
₹5,00,000
Salary data updated: April 2026
Salary distribution
Based on 24 job listings with salary
Salary by city
| City | Median / Annual | Listings | vs. national |
|---|---|---|---|
| Gurugram | ₹2,50,000 | 5 | +4.2% |
| Mumbai | ₹1,50,000 | 4 | -37.5% |
Salary of Customer Service Executive in India
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Customer Service Executive/ Sr. Customer Service Executive
Found at: Sourcestack India - 1 day ago
Kolkata, West Bengal, India AdeebaEServices Full-timeCompany DescriptionAdeeba E Services Pvt Ltd is a leading provider of online technical support services to consumers...
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Customer Service Executive/ Sr. Customer Service Executive
Found at: Sourcestack India - 1 day ago
Kolkata, West Bengal, India Adeeba e Services Full-timeCompany DescriptionAdeeba e-Services is a leading International BPO running Inbound tech and website process. We provide...
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Customer Service Executive/ Sr. Customer Service Executive
Found at: Sourcestack India - 1 month ago
Kolkata, West Bengal, India Adeeba e Services Full-time
Salaries in India {year}
| Position | Average salary / Annual | |
|---|---|---|
| Radiologist | ₹45,51,471 | View listings |
| Senior Data Engineer | ₹23,05,737 | View listings |
| Chief Financial Officer | ₹22,36,897 | View listings |
| Financial Controller | ₹18,06,883 | View listings |
| Dermatologist | ₹17,34,800 | View listings |
| Full Stack Engineer | ₹15,38,438 | View listings |
| SAP FICO Consultant | ₹15,07,833 | View listings |
| Senior Software Engineer | ₹15,06,406 | View listings |
| Senior Full Stack Developer | ₹14,69,818 | View listings |
| Java Full Stack Developer | ₹13,50,697 | View listings |
FAQ - Customer Service Executive
Data updated: April 2026
Jobs in other cities
Popular searches
Duties, skills, education and opportunities
Methodology
- Sample: 24 job listings with published salary
- Calculation: P10, P25, P50 (median), P75, P90 percentiles from salary ranges
- Outliers removed: salaries below P1 and above P99
- City data: minimum 5 listings for inclusion