✔ 85%-90% Quality ✔ Best ROI ✔ Opt-in Marketing Database.
✔ Best Data Connectivity Ratio ✔ Increase sales by 33%
Mumbai, Delhi, Bangalore (Bengaluru), Kolkatta, Chennai...
7,540+
Companies Served
Salaried Employees Database are DataSets related to individuals who receive a fixed salary as compensation for their work. This data can include Salary Groups and based on that a business can send their Promotion Message through e-mail or sms.
You can request the Salaried Employees Database Sample by clicking on the Green "Requirement Form" Button location at the top left hand side of the page.
Though we always try to maintain a huge datasets, we always try to maintain the quality at around 85-90%. Please check with our sales team for quality if you have any query with regards to your requirement.
For this category audience, the minimum package to start from is 50,000, however if you have requirement which exceeds our package, you can directly get in touch with our sales team for a proper quotation and bulk discount if applicable.
Yes, the price is inclusive of 18% GST. We always look for transparent pricing with our clients.
Yes, we always go by our clients requirement. If we are unable to provide customization we do let know our clients.
Yes, there is a fee for data customization.
You can mention this while filling the requirement form OR contact us, we might be able to check the city which you might be interested in.
Yes, we can fulfil your requirement even if you need only email or mobile database of Salaried Employees.
We always provide discounts for bulk purchases & any purchase comitted within 3 days of Inquiry.
You can pay by using online bank transfer (NEFT/RTGS/IMPS) or bank deposit or cheque or cash.
After payment confirmation, it normally takes 30 mins - 2 hours for the database to be prepared for delivery. However, if your is a custom database requirement it may take more than 2 hours for delivery.
These are the cities covered for Property Investors Database.
Data Processed
Quality Assured
Cities Covered
Happy Clients
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