How to Solve the Biggest New Problem in Search Engine Marketing

October 10, 2017 Andrew Park

The biggest new problem in search engine marketing is getting bigger by the day...and is expected to cost companies trillions by 2020. How can you solve SEM's biggest new challenge?

How to Solve the Biggest New Problem in Search Engine Marketing

Search engine marketing is complicated. You probably knew this. 

In fact, if you’re a paid search professional who works on PPC campaigns for a living, you’re probably already tracking a huge amount of mission-critical information: your cost-per-click (CPC) bid levels, your click-through rates (CTR) and conversion rates (CVR) on various ad campaigns you’re running. Your revenue and return on ad spend (ROAS). All important concerns for day-to-day search-engine marketing.

You’re probably also noticing that search engine marketing is getting harder. There’s more competition online going after the same clicks and business you’ve already worked so hard to earn. So is this just something you decide to live with? Do you just spend more and more, potentially throwing good money after bad in your battles with competitors, in the hopes of winning the war?

Or is there a better way?

You’ve probably already guessed there is, and that we’re about to propose it. Here it is: In order to win at modern-day search engine marketing, you need to be able to successfully tackle the big data challenge in SEM. 

What big data challenge, you ask? The one that’s already causing your spreadsheets to crash with too many rows of bid data, conversion data, revenue data and many others. The overflowing data which Oracle predicts will be produced in increasing amounts up to 4,300% by 2020. The huge piles of collected data which Bloomberg predicts will cost businesses $3.3 trillion in wasted money by 2020.

Yet these giant chunks of data contain actionable insights that can help you better carry out your day-to-day search engine marketing. Those actionable insights could be helping you make significantly better decisions on bids to stop overspending on keywords that have already delivered their maximum value. They could also be helping you make better decisions to stop underspending on keywords that could be sending you more conversions and sales if you could just tune up the bids slightly.

Again, if you could just get at those insights. That’s why we built QuanticMind - to connect all the data you collect, pull those actionable insights from it and empower you to directly drive stronger results - for every single keyword you manage. We do this with an exclusive combination of data science and machine learning that turns all of your terms into head terms and drives incremental gains for every keyword you manage, ultimately delivering huge aggregate performance lift.

Instead of just reading about it, why not see QuanticMind in action? Join our live demo and watch how our solution solves the big data challenge and makes the lives of marketers just like you significantly easier while also delivering consistently stronger results every time.

About the Author

Andrew Park

Andrew Park is a content marketing manager at QuanticMind. A UC Berkeley graduate and lifelong Bay Area resident, Andrew has done tours of duty in editorial, PR and marketing, and now works with the QuanticMind team to communicate the importance of data science and machine learning in digital advertising.

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