Nigeria Database

It is proven that the companies or individuals who sent emails to their targeted leads have a higher return on income compared to those who don’t.

Why trouble yourself by manually searching for an email list from online directories? We already compiled the database and separated it country-wise for you!

It is always productive to buy an email database. Creating your list and gathering Millions of records will take a lot of time, effort, resources, and many other complications will involve too.

Hence, it is better to do the hard job by database providers, and you can focus on your main business.

WholeDatabase is a powerful collection of databases that will help you with your marketing needs.

Our lists give you access to the information available for your target audience for Nigeria.

Our lists can be used in various ways such as generating the sales lead, building a business directory, market research, job seeking, marketing, business analysis, and other purposes.

We have compiled these listings, so you can easily connect with leads in Nigeria with no hassle.

Our database can be opened via Microsoft Excel (.csv) to help you search, sort, print, and export the information with ease and convenience.

Accuracy, Bounce Rate

For any business, your potential customer database list is one of your most valuable assets. Without an accurate list, you can’t promote your business efficiently.

You will get the best quality database from us compared to any other source. However, saying that the complete database is 100% accurate and with no bounces will be a lie.

No list is perfect, and no list is static – mistakes are made in collecting customer data.

We will try our best to keep the database bounce-free but that is also true that it might contain some bounce data too because of the following reasons.

These records were collected from the different opt-in forms and from different trusted sources.

So there are many cases where while collecting that database records all the details all correct but after some time people change their email, number and sometimes they did typing mistake, people switch jobs, stopping using a particular inbox due to multiple email accounts, the domain not renewed, because of these reasons bounce were present in the current data.

While collecting the database records were valid and but after some time some records will not be valid and come under the bounce.
Hence bounce may contain in the database and this could happen with any other database.

So how we maintain the quantity of the database?

The most straightforward way to do this would be to email each and every last customer, track the bounces. Filter them and update your list.
Remove those bounces and keep doing it until you get a good list.

Of course, such a global email blast isn’t the most tactful way since the number of email records will huge, and sending to each and every user will take a lot of time, effort, and resources.

The other way is to do it via Email Verification.

In this way, we simulate email sending. Before sending any email the sender server checks if the recipient server domain and MX records exist or not and then it checks for the email ID specifically.

Since the data quantity is huge hence verification of those IDs will require much effort/time/cost, which would be more than its selling price.

Even if we will verify the database at a certain time and the customer purchase the data after some days/months still it contains bounces not because there is any problem in email verification but as time passes, the bounces may arise due to the above-mentioned reasons.

Hence it will much better if customers verify these data at their end just before using them.

Although we are very sure about the quality still we left this choice to the customer, if they want to make sure that data does not contain any sort of bounces they can verify this data at their end with the help of the email verification service providers such as EmailVer.com, ZeroBounce, etc.

You will get the database with less than 8% of total bounces on average.

There may some categories/countries which contain high bounce and there will some which contain no or very little bounce hence this 8% figure of bounces is the average of the total database.