Campaign Optimization Analytics

We have an experience in optimizing the search engine marketing campaigns on profitability using statistical models and techniques. Many businesses worldwide use conversion rate or acquisition rate as performance benchmark of their marketing campaigns.

However there are many businesses that cannot directly view the impact on profitability at the time of burning the cost on SEM campaigns. These businesses could be classified business, content management sites or any company where the profitability of the user can be realized after a certain time frame.  

If we were to predict the behavior & lifetime value of the customer even before we acquire him through search engine marketing campaigns, we could potential save a huge cost on marketing campaigns.

Predictive analytics is a methodology of predicting the profitability of the customer even before he/she acts on the system

How does this work?
Predictive Analytics can help you evaluate the lifetime value of customers that you acquire at the time of registration, which will greatly help in optimizing your marketing efforts such as SEM spends to profitable keywords and ad units rather can lower CPA keywords.

Example sites:
SEM Goals: Acquire more users who signup online as registered users.
Performance Metric: Conversion Rate (Signups / Clicks)
New metric: Profitability = Profitability / Cost
Most business cannot realize profits at the time of acquisition, which can be made possible by predictive analytics.

SEM Campaign Monitoring
Using the above predictive metric along with statistical techniques such as regression analysis on impression / click data we can significantly improve the ROI and efficiency of SEM campaigns.

Please contact easwar@analyticseye.com, we have a combined experience of over 4 years in Predictive analytics, SEM Statistical Models, Business analytics for websites, SEO