It seems every week, I’m seeing or learning another acronym. Well, time to share them all in one nice post thanks to the team at Blueadz, who made this amazing infographic, 60 Marketing & Sales Acronyms Everyone Needs to Know. Sales Acronyms ABC: Always Be Closing This is the first of the sales acronyms you should learn as a young sales rep! It’s pretty much the way it works. To be an effective sales person means you’ll need to ABC. AE: Account Executive This is a sales team member that closes deals with sales qualified
I’m still generally surprised by the number of sites that are not yet viewable on a mobile device – including very, very large publishers. Google research has shown that 50% of people will leave a website if it is not mobile-friendly. It’s not just an opportunity to get some additional readers, customizing your site for mobile use can enhance your user experience since you know that folks are currently mobile! With the huge variety of screens and operating systems, optimizing for mobile isn’t a piece of cake anymore, though. Here are Tools to Make Your
Here’s some homework for you before you even read this. What’s your percentage of conversions that happen via mobile and desktop? In Google Analytics, select Conversions > Goals > Conversions and select Mobile Traffic for your first group and Non-Mobile Traffic for your second: What’s your percentage of traffic that happen via mobile and desktop? In Google Analytics, select Audience > Overview and select Mobile Traffic for your first group and Non-Mobile Traffic for your second: The example I’m providing above is a B2B client, so there’s some explanation of the disparity between the two. I’m certain that B2B
Download the Study[/button]Companies are investing a lot of money in mobile app development. Wherever the stakes are high, fraud seems to follow. According to a new report from DeviceRank, AppsFlyer’s State of Mobile App Install & Engagement Fraud is based on the company’s DeviceRank™ technology – the industry’s first fraud prevention solution to identify and exclude fraud at the device level –and covers 500 million devices. That forecast is based on different fraudulent activity, both verified and suspected: Mis-attribution of fraudulent click data. Paid installations from fraudulent devices. Fraudulent and simulated in-app events. Lookalike targeting and retargeting fraud.