Eric Iwashita

Eric Iwashita is a solutions engineer at QuanticMind. He earned his Bachelor of Applied Science in product design engineering at Stanford and uses his analytical background to build technical relationships with new customers and prospects, as well as to identify and build solutions to meet customer needs.

Outstream Video: Why You Need It in Your Advertising Budget

CentroDigital & Performance Marketing | 7 mins

Outstream Video: Why You Need It in Your Advertising Budget

Outstream Video: Why You Need It in Your Advertising Budget

One of the best new technologies is outstream video, which allows advertisers and website owners to deliver video content without standard video players.

Read article
How to Optimize Your Geo-Targeting Settings on Your AdWords Campaigns

CentroSEM & PPC | 4 mins

How to Optimize Your Geo-Targeting Settings on Your AdWords Campaigns

How to Optimize Your Geo-Targeting Settings on Your AdWords Campaigns

One of the greatest areas of optimization opportunity involves tweaking the AdWords Geo-Targeting Settings based upon campaign performance.

Read article
Augmented Reality: The New Revolution in Digital Advertising

CentroDigital & Performance Marketing | 6 mins

Augmented Reality: The New Revolution in Digital Advertising

Augmented Reality: The New Revolution in Digital Advertising

How will that sofa look in your home? You can measure, check the color and hope for the best–or you can use an augmented reality app to see it in your space.

Read article
Let’s Tackle Your Biggest Paid Search Challenges Head-On

SEM & PPC | 2 mins

Let’s Tackle Your Biggest Paid Search Challenges Head-On

Let’s Tackle Your Biggest Paid Search Challenges Head-On

Use new technology to optimize your campaigns down to the keyword level, fully utilize Enhanced Campaign modifiers, generate reports in seconds and more.

Read article

SEM & PPC | 2 mins

SEM is not a Random Walk

SEM is not a Random Walk

We spoke with a client who was asking questions about our predictive learning algorithm - specifically how the system bids on keywords with little data.

Read article