New Year, New You. Right? It’s the time for fresh starts and promises to be better. A smarter way to approach the new year, especially for a marketing analytics company, is not with resolutions but with words – three to be exact. Chris Brogan started this exercise back in 2006 and, for Trust Insights, it […]
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. Is Your Company Socially Responsible? via @WhartonKnows Corporate social responsibility has increasingly become an important […]
Read More… from Marketing Analytics, Data Science and Leadership – September 23, 2019 Week In Review
Just kidding. This episode is about marketing planning, marketing strategy, and marketing budgeting. As autumn rolls around, companies begin the extensive planning process for the coming calendar year, and one of the most searched-terms during the next 6 weeks is “marketing plan template”. In this episode, Katie and Chris discuss marketing planning, how to plan for […]
Read More… from {PODCAST} In-Ear Insights: Pumpkin Spice Marketing Planning
In this episode of In-Ear Insights, Katie and Chris review the basics of agile marketing: What agile marketing is Where agile marketing came from What practices are easiest to adopt for marketers Sprint planning Scrums Kanban boards Standups What marketers should know about agile marketing Listen in and use these ideas to improve your own […]
Read More… from {PODCAST} In-Ear Insights: Agile Marketing Best Practices
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 […]
Read More… from Marketing Analytics, Data Science and Leadership – July 8, 2019 Week In Review
In this episode of In-Ear Insights, Katie and Chris discuss quarterly review and planning. When you do your quarterly review of marketing metrics, what do you look at? How do you strategize? What insights do you glean? As mentioned in the show, this week’s episode comes with two visuals so you can follow along with […]
Read More… from {PODCAST} In-Ear Insights: Quarterly Review and Planning
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. {PODCAST} In-Ear Insights: Uses of AI in Direct Marketing via @trustinsights The important thing is […]
Read More… from Marketing Analytics, Data Science and Leadership – June 3, 2019 Week In Review
Machines are not taking your job, today anyway. Machines can replicate repeatable tasks and with enough data, make decisions. You will either manage the machines or be managed by the machines. In the first post, we talked about the skills you already have that can translate to managing a machine led process, or the machines […]
Read More… from Using what you know to manage the machines – part 2
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. 11 Ways Get Maximum Efficiency from Your SEO Teams Efforts via @stoneyd When you dont […]
Read More… from Marketing Analytics, Data Science and Leadership – May 6, 2019 Week In Review
A little while back we introduced another segment of the market, the machines, You can read the full post here: https://www.trustinsights.ai/blog/2019/03/marketing-to-machines-the-b2m-segment/ Now we need to explore your current skill set as a manager and leader. With more automation and machine learning, you might feel like you need to start over. Surprise! You don’t. Believe it […]
Read More… from Using what you know to manage the machines – part 1
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