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Archive: Jan 2020

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How to measure email marketing effectiveness

Email marketing is a smart way to continually drive engagement from people who already know (and hopefully) trust you. So understanding effectiveness is looking at – how many people opened the email, how many clicked through, how many unsubscribed, how many new people signed up, how many people shared the newsletter. Often email marketing platforms will help by providing benchmarks. Which is a useful starting point, are people opening my newsletter as much as my peers. Then, of course,… Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to critically analyze

Critically analyzing means pulling apart the data and understanding each component. Break it apart, into a series of statements. Is each statement true? What is the opposite? What is not being said? If someone is saying look this way, what is the other way? This helps form the bones of critical thinking. Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to interpret data

A helpful tip in interpreting data is to re-enact how the data was created. This helps understand what the data means, what it reflects and also how you can use it for decision making. For example, for content analytics, revisiting a piece of content. And following the actions that are being recorded. The closer you can mimic the real world method the better. This is a great first step in helping interpret the data that you are… Continue reading

Ben Young
Ben Young
January 17, 2020
Influencer Marketing

How to measure Influencer Marketing ROI

To understand return on investment of an initiative, whether it is influencer marketing or any other, you need to anchor it against what you were trying to achieve. Then you can compare, what you got against that. Often media agencies and brands are seeking cut through, that is reaching the unique audiences and contexts that influencers have created.   Option 1: Contrast return against the alternatives To establish ROI, they want to compare against, what is the next best use… Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to make data driven decisions

Data-enabled decisions mean you use data to help guide decision making. Data can help provide direction or help unstick indecision, by providing feedback. It’s worth noting that data just reflects something that has been observed. So it is often not perfect. But if it can help guide and inform your decision great. Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to deliver data driven marketing

Embrace data driven decision making as an input in to your marketing. As you shape up your strategy and plans, use data audits to understand what is working and what isn’t working. Then embrace continual optimization and changes through a regular data feedback loop in to progress. This could be real-time dashboards for the tactical through to bigger reports for the monthly, quarterly and annual. Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to analyze an article example

First load up the article, pull up your content analytics, then start to look through the data. Does the article perform above benchmarks? Below? Are people reading all of it? Is there a common drop off point? What devices are they reading on? Was it at expectations / above?… Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to analyze data

Interrogate the data, how was this data created? Is it clean? Does the recording of the data reflect the intention for how you want to use the data. Does it reflect the right date ranges? See if you can find some comparable data, or benchmarks from older data. To help contextualize your data. Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to analyze a chart

The first watch out in understanding a chart is looking at the scales. These can be easily distorted to misrepresent findings. Take a chart that is a portrait and make it landscape and it instantly stretches out. So do compare the scales, and the metrics used on each axis. Then explore the data itself, how was it collected, how many data points are in here. Can you draw or add any trendiness? Is the data substantial enough… Continue reading

Ben Young
Ben Young
January 17, 2020
Analytics

How to analyze a video

Data really really helps in analyzing a video. So first stop is to go and get all your data on the video. Then re-watch the video, comparing how you watch it versus the data you have on its performance. Stop where people often stop, click where people are clicking. This will help contextualize and understand what the data is telling you. It may be obvious why people drop off at a certain point. Then you can go… Continue reading

Ben Young
Ben Young
January 17, 2020