The Return of Inbound Marketing Strategy

The Return of Inbound Marketing Strategy

Inbound marketing was created out of necessity. Back in 2006, Brian Halligan and Dharmesh Shah started Hubspot and championed the concept of inbound marketing, the idea that customers would use digital technologies to seek companies out, rather than companies chasing potential customers. The promises of inbound marketing were lower costs and better quality customers, because […]

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{PODCAST} In-Ear Insights: SEO Analytics

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss SEO analytics. SEO is a marketing discipline crammed with data, but what data matters? What data is reliable? Listen in as they discuss common SEO metrics, what SEO data matters to business impact, and how to build an SEO analytics dashboard […]

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12 Days of Data, Day 11: SEO Link Decay Statistics for 2019

Introduction Welcome to the 12 Days of Data, our look back at the data that made marketing in 2019. We’re looking at the year that was from an analytics perspective to see what insights we can take into the next year and decade. Sit up, get your coffee ready, and let’s celebrate some data. SEO […]

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{PODCAST} In-Ear Insights: 2020 Marketing Planning and Google BERT

In this episode of In-Ear Insights, Katie and Chris discuss the latest changes to Google’s query processing using the BERT natural language processing pre-trained model, its impact on SEO, and how to holistically address the impact of machine learning models on your overall marketing planning. [podcastsponsor] Listen to the audio here: Download the MP3 audio […]

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AI and SEO in the Post-BERT World: What Marketers Need to Know

On October 25, 2019, Google changed everything again with its announcement that its deep learning powered natural language processing model, BERT, would now power search queries. With this announcement, machine learning expertise for SEO is no longer optional. Let’s dig into what this all means. What Is BERT? BERT is a massive language model that […]

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{PODCAST} In-Ear Insights: Measuring Influencer Marketing with SEO Metrics

In this week’s In-Ear Insights, Katie and Chris talk about the declining impact and availability of social media metrics when it comes to influencer marketing. As data becomes harder to get ahold of, what are our options? The answer: SEO. Using SEO and traffic metrics along with rigorous analytics tracking is the path to demonstrating […]

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Blended Listening: An Essential Digital Marketing Analytics Technique for 2020

As the year winds down and we march towards 2020 (and cue all the vision/2020 puns that unclever businesses will likely concoct, coming to a corporate strategy Powerpoint near you), one of the trends we’ve spotted in audience habits is the trend towards private, “velvet-rope” communities. We dug into this trend in-depth in our Social […]

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Marketing Analytics, Data Science and Leadership – August 5, 2019 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading. A Data Science Leader’s Guide to Managing Stakeholders via @analyticsvidhya Broadly speaking, there are three […]

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{PODCAST} In-Ear Insights: How to Avoid Running Out of Content Marketing

In this episode, Katie and Chris discuss ways of avoiding running out of content marketing. How do you keep things fresh and relevant once you’ve tackled the major topics that you want to be known for? Follow along as they look at analyzing competitors with predictive SEO forecasts, and even develop a new product idea […]

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Marketing Analytics, Data Science and Leadership – July 8, 2019 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science and leadership you should be reading. 24 Useful Tools and Apps for Marketers via @smexaminer Swish is an iOS app that […]

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