Pay-per-click (PPC) advertising and campaign management Summarized overview Questions and subjects discussed in this article: definition: PPC campaign definition: impressions PPC market leaders: what and where to buy clickstream analysis and keyword selection cost-per-unit and what you should expect to pay how to evaluate the traffic you purchase the difference between quality and quantity importance of conversion rate metrics PPC advertising Pay-per-click (PPC) advertising and campaigns are the primary way of advertising on the internet. As of May 2009, the three largest players in the market are Google, Yahoo, and Bing. A PPC campaign lets you determine exactly who comes

90% of buyers abandon a business after they experience bad customer service.
Another study reveals 82% of customers have left a company for the same reason.
Paid users won’t leave simply because they experience some problem with your product. Instead, they’ll contact your support. That’s the logical next step after facing a problem as a paid user.
In this article, we’ll be giving away examples and describe best practices to save you time and be more effective in implementing your marketing and sales campaigns.

Call it user churn analysis, churn analytics; it’s all the same.

Customer churn analysis is the process of analyzing why users leave your product, software, or business. Period. Reducing churn by 5% can increase profits by 25-125%.

Calculating churn rate can be intimidating.

But it’s something no SaaS or subscription business can escape. You have to know how many customers leave at some point — so you can determine why there is a problem and if the effort to fix it is worth the effort. Learn about the methods to calculate churn.

Why are customer profiles critical? They’re super important! But can’t you spend your time better than designing completely new customer profiles?
In this article, we’ll be giving away examples and describe best practices to save you time and be more effective in implementing your marketing and sales campaigns.

Psychological Researchers rely on Big Data. There are benefits for using Big Data for Psychological Research, especially in analyzing, detecting and comparing behavioral patterns in social media. Big goals are now being achieved including targeted marketing and political campaigns.