With the cancellation of nearly all live events the difference of in person versus virtual is felt by everyone who tries to put on, be part of, or attend a show. What are the top 5 problems in taking events virtual? As a cynical New Englander wanting to complain about “Why Virtual Events Suck” I’m […]
This article first appeared here: https://marketing.toolbox.com/articles/what-is-marketing-intelligence-definition-best-practices-use-cases-and-tools What is Marketing Intelligence? Marketing intelligence is defined as any actionable and data-oriented information that can be used to build an effective marketing strategy. This means data about your customers, your efforts, and your competitors that will help you make informed decisions around the pillars of marketing: product, price, […]
Here’s a straightforward email marketing insight: if you’re a B2B marketer who operates in or targets the United States, chances are, your email list is severely damaged. In the last 7 weeks in the United States, unemployment claims totaled more than 33.5 million. For context, the total employed population in the United States is approximately […]
Read More… from Email Marketing Strategy and Insights: Your Email List Has Decayed 25% in 7 Weeks
In this episode, Katie and Chris discuss finding product market fit in turbulent economic conditions. How do you determine what constitutes a need versus a want? What are the pain points of a target customer? Listen in for useful tips about finding product-market fit and some key proof points for your product marketing. [podcastsponsor] Listen […]
Read More… from {PODCAST} In-Ear Insights: Finding Product Market Fit
How many people watch Instagram stories daily? Facebook’s implementation of Snapchat’s Stories format is nearly ubiquitous, but no place has gained more traction among marketers for the Stories format as Instagram. Since their introduction in 2016, Instagram Stories have dominated search trends about the Stories format: Why Instagram Stories? From Facebook’s perspective, the Stories format […]
Read More… from How Many People Watch Instagram Stories Daily? The Latest Research
In this week’s In-Ear Insights, Katie and Chris answer a mailbag question from Denise: “My question is about UX copywriting. Other than using a service like “crystalknows.com,” how do I know which words and phrases influence a specific buyer persona? Which words or CTAs influence a 35-year-old CTO male who makes craft beers on the […]
Read More… from {PODCAST} In-Ear Insights: Data-Driven B2B Marketing Personas
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
Who loves cheese? Lots of people love cheese and it’s National Cheese Day here in the US. We’re showcasing a fun way to see predictive analytics in action, with Cheese of the Week. Cheese of the Week uses public search data, forecasted 52 weeks in advance from today (4 June 2019) to show when audiences […]
Read More… from Fun with Forecasting: Cheese of the Week 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 predicting traffic to our own media properties. Why? The closer we can measure towards the bottom of the marketing operations funnel, the more likely a metric is to […]
Read More… from Predicting Traffic for B2B Content: A Trust Insights/BuzzSumo Study
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 from prospect to customer can we get enough data to […]
Read More… from Attribution Part 1: Why light up the dark data around attribution?
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