In case of decreasing conversion rate, or in case the conversion is stagnating despite the constant inflow of traffic, it clearly means something is off. Many companies choose to play around with creative or budgeting, but it rarely helps. Usually, the reason of such an issue lays in inability to connect with the target audiences on their level and in time.
Here, the concept of “white label geo targeting” and “predictive data analytics” starts being used by marketers to solve the problem.
Why Traffic Is Only One Side of the Coin
Today, getting traffic to websites is no longer considered a challenging task, but the ability to convert users into leads remains highly relevant and complicated. Once a person lands on your web resource, they can browse it for a few seconds and then simply go away without taking any actions, such as filling the form or placing a phone call.
It is usually not a matter of quality of the service provided, but rather the question of appropriateness of the message sent to the user. While it may match the overall concept, it fails to address the specific audience member personally and thus becomes unattractive to him/her.
How White Label Geo Targeting Helps Here
As opposed to regular targeting, geo targeting implies sending a specifically chosen message based on the location of a user. However, today’s technology allows for going further and considering the particularities of the local audience: their habits, preferences, and even differences in behavior caused by climate changes.
For example, the service offered in India may vary significantly when viewed in Delhi or in a much smaller Indian city. Everything starting from the language used to the pricing strategy will be different depending on the location.
In case of white label targeting, agencies can leverage the solution to provide their clients with the similar approach for each customer company to localize marketing activities in the best possible way.
Thus, users see a message that fits the current location and situation better.
The Role of Predictive Data Analytics in the Process
While targeting focuses on where the user is now, data analytics focuses on what he/she may do further. Based on the patterns of behavior observed during previous interactions, the system tries to predict future actions of a visitor.
For example, a person may keep coming back to the same page and spending more time looking through the products offered there. Thus, it becomes clear that his intent to purchase grows.
Once having identified such a person, marketers start offering him a product in a more urgent manner.
Combination of Both Solutions Improves Results Even Further
While using either of them separately can already help to achieve a positive result, combining targeting and data analysis produces even greater results. Geo targeting helps to identify the location of a user, while data analysis helps to find out his intents.
This approach allows avoiding mistakes associated with treating all visitors identically. A visitor from Mumbai gets another offer than a visitor from Jaipur. And this approach seems to be the focus of work of eintelligenceweb.com.
Why Is the Combination Important?
Conversion rates rarely get improved through one big step. Instead, it happens gradually once some minor tweaks are made, and they start working in harmony. When visitors see that a website understands them and knows all about their needs, it makes them stay longer and act accordingly.
That is exactly what can be achieved via implementing the discussed solutions into the marketing campaign.
Conclusion
Thus, low conversion rate does not always come from lack of creativity or attractiveness of the services offered. Instead, this could be the consequence of a mismatch between a user and the company.
Through localizing messages in accordance with the location of a visitor via white label geo targeting and understanding their intent using data analysis, businesses can start moving towards achieving harmony.
