Get Found!

Informações:

Synopsis

Ginzametrics is pioneering the science of findability. Our SaaS platform provides marketing intelligence and reporting, while delivering the tactical tools needed to implement strategic recommendations and optimize content.

Episodes

  • Get Found - Internet Marketing Trends and a Look Ahead to 2017

    06/01/2017 Duration: 49min

    Erin Robbins, President & COO of GinzaMetrics talks with Steve Farnsworth, CMO of The Steveology Group, about 2016 internet marketingtrends and what could lie ahead for search, content and digital in 2017.

  • Get Found: Hacks for capturing internal data for better sales and marketing

    06/01/2017 Duration: 33min

    Today Erin Robbins and Steve Farnsworth will discuss tips to gathering internal data so that you can make better sales and marketing decisions.

  • Get Found - Content marketing strategies that help close deals and onboard customers

    29/11/2016 Duration: 35min

    Get Found - Content marketing strategies that help close deals and onboard customers by GinzaMetrics

  • Get Found - The Problem With Attribution Models For Marketing - episode 93

    02/11/2016 Duration: 24min

    According to CMI, proving ROI on content marketing efforts is becoming less of a challenge for marketers. I’m not sure I’ve heard anyone say that though… I think what might be more accurate to say is that people are investing in content marketing, and there are lots of metrics for content marketing, and that people believe content marketing works… But I don’t believe that correctly assigning value and ROI to content and its associated is any less challenging now than it was a year ago. What does seem to be on the rise is attribution modeling, in all of its messed up, inaccurate glory. Attribution modeling, specifically multi-channel attribution modeling, simply put, is a way to assign “credit” to various channels for their role in creating conversions. And not all models are created equally. This week we’re going to discuss with Steve Farnsworth a few of the challenges associated with attribution models.