12 DAYS OF DATA 2021, DAY 9 2022 MARKETING FORECAST

12 Days of Data 2021, Day 9: 2022 Marketing Campaign Forecast

Introduction Welcome to the 12 Days of Data 2021 Edition, our look back at the data that made marketing in 2021. We’re looking at the year that was (and oh, what a year it was… again…) from an analytics perspective to see what insights we can take into the next year. Sit up, get your […]

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incrementality

Incrementality and predictive analytics

Data was originally featured in the October 20, 2021 newsletter found here: https://www.trustinsights.ai/blog/2021/10/inbox-insights-october-20-2021-effecting-change-technical-content-marketing-incrementality/ In this week’s Data Diaries, let’s talk for a brief moment about incrementality and the use of predictive analytics. Incrementality is a marketing analytics concept which answers how we spend our marketing resources – time, people, budget, etc. Within incrementality, we have our baseline, […]

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Business Analytics 101: How To Monitor Business Trends

Business Analytics 101: How To Monitor Business Trends

In the weeks and months to come, expect significant challenges to business, B2B and B2C. Companies with a solid business analytics strategy and great data sources will have a significant advantage over companies without these assets. How can business analytics help? What do you, a marketer and business analyst, need to know? To answer this […]

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2H20

How to predict the second half of 2020?

Right now, forecasting and predicting anything further out than a few weeks is a fool’s errand for the most part. Here’s just a sample of what’s currently in play that could severely disrupt any marketing/business forecast: The pandemic, still in its early stages Those afflicted by long-term health consequences from the pandemic, about 20% of […]

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2020 cheese of the week

Cheese of the Week Predictive Forecast: 2020 edition

Who loves cheese? Lots of people love cheese and next week is National Cheese Day (June 4th) here in the US. We’re showcasing a fun way to see predictive analytics in action, with Cheese of the Week. We first ran this forecast in 2019 for National Cheese day and since so many people enjoyed it […]

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{PODCAST} In-Ear Insights: Predictive Analytics for Unpredictable Events

In this episode of In-Ear Insights, Katie and Chris respond to a listener question: how valid are predictive analytics forecasts when you’re in the middle of massively unpredictable events? How do you deal with the anomalies of a black swan event, and how do you tell the difference between an anomaly and a breakout (continuing […]

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Google Analytics Channel Traffic Forecast

“How do I know the effectiveness of my channels to drive traffic?” We hear this question all the time and the problem with answering this is that we could only look historically at what happened, and guess about the future. Until now.  Using machine learning-powered predictive forecasting, we can now see how our channels will […]

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Losealikes

On January 31, 1969 The Lompoc Record (a newspaper from Lompoc, California) carried an uncredited article from the United Press International Wire service with the Nipsey Russell-esque headline “Nets, Mets even play same way.” The author goes on to poke fun at the Nets by calling them a “welcome visitor” to any town they go […]

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social media marketing strategy 5

{PODCAST} In-Ear Insights: Predictive Analytics for Business

In this week’s episode, listen in as CEO Katie Robbert teaches predictive analytics for a variety of markets and industries such as real estate, healthcare, and many others. Learn what predictive analytics for business is, how it works, and use cases such as revenue forecasting, marketing planning, and more. [podcastsponsor] Listen to the audio here: […]

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What is First Party Data Second Party Data and Third Party Data 35

{PODCAST} In-Ear Insights: Predictive Analytics at BACon 2019

In this episode of In-Ear Insights, listen to the full, un-abridged audio from CEO Katie Robbert’s talk at the Business Analytics Conference (BACon) as she walks through use-cases for predictive analytics in multiple industries, from forecasting real estate sales to customer service call center staffing. You’ll also learn what constitutes good data and the overall […]

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