Blog - Trust Insights Marketing Data & Analytics Consulting

Automation is not always the answer

by Katie Robbert | Apr 19, 2019 | Uncategorized

This article first appeared on Spin Sucks: https://spinsucks.com/marketing/automation-not-always-answer/ One of the hottest topics for marketers is automation through artificial intelligence and machine learning. I’m here to tell you, automation isn’t always the...

In the Headlights : April 17, 2019 Issue

by cspenn | Apr 17, 2019 | newsletter

Quick plug: register for our April 30 free webinar on how to measure the right marketing data. We’re down to about 10 seats left. I go to a lot of conferences. In any given year, I’ll have the pleasure and privilege to attend and speak at several dozen events and...

[PODCAST] In-Ear Insights: Predictive Analytics for Social Media Marketers Keynote

by cspenn | Apr 17, 2019 | artificial intelligence, machine learning, predictive, predictive analytics, social media

In today’s episode of In-Ear Insights, we’re pleased to present the audio from Katie Robbert’s lunchtime keynote at the HELLO Conference. In this dynamic and humorous talk, Katie covers predictive analytics for social media marketing. You’ll...

Marketing Analytics, Data Science and Leadership – April 15, 2019 Week In Review

by Katie Robbert | Apr 15, 2019 | marketing, 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. New Study From Forrester: The Value Of...

Predicting Traffic for B2B Content: A Trust Insights/BuzzSumo Study

by cspenn | Apr 12, 2019 | analytics, artificial intelligence, content, data science, machine learning, marketing, Marketing Insights, marketing technology, predictive, predictive analytics

As marketers, especially B2B marketers, we care about many metrics. We like followers and audiences, we enjoy people caring and sharing our content, but we really love traffic to our own media properties. Why? The closer we can measure towards the bottom of the...

[PODCAST] In-Ear Insights: Bias, Discrimination, and Influencers

by cspenn | Apr 10, 2019 | bias, careers, compliance, influencer marketing, management, regulations

In this episode of In-Ear Insights, Katie and Chris tackle a key, undiscussed problem with influencer marketing. In three states in the United States (California, Washington, and Pennsylvania), companies are prohibited from discriminating against contractors with the...

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

by Katie Robbert | Apr 8, 2019 | artificial intelligence, marketing, SEO, week in review

You’re busy. We get it. We’ve compiled some of the top-clicked 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. 12 Stupid Things to Stop Saying to...

Attribution Part 1: Why light up the dark data around attribution?

by John Wall | Apr 5, 2019 | Marketing Insights, sales

Modern sales and marketing have brought us the concept of attribution – the process of answering “what activities are the best at bringing us sales?” We ask because we have a problem: a limited amount of funds to spend acquiring customers. By tracking the path...

[PODCAST] In-Ear Insights: Fixing The Marketing Funnel

by cspenn | Apr 3, 2019 | analytics, marketing, marketing technology, strategy

In this episode of In-Ear Insights, Katie and Chris take you behind the scenes as they examine first quarter marketing data. Listen in as they audit Trust Insights’ own marketing data, identify weak spots, determine a course of action, and look at ways to gather...

[PODCAST] In-Ear Insights: The Great Instagram Hashtag Debate

by cspenn | Mar 27, 2019 | influencer marketing, instagram, marketing, podcast, social media

In today’s episode of In-Ear Insights, Katie Robbert and Christopher Penn debate the Trust Insights study on the impact of hashtags. Our original research showed they have neither helpful nor harmful impact on follower growth or engagement, but we debate how...