Category: analytics
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You Ask, I Answer: How Often Should Ads Be Changed?
Jen asks, “How often do you feel like ads should be changed out and freshened up?” I don’t feel anything. I look at the data. Look for diminishing returns, and use that as your determinant for when to make a change. How do you calculate that? With a moving average change indicator. Can’t see anything?…
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You Ask, I Answer: Getting Started With Data-Driven SWOT Analysis?
Talesa asks, “How do you chip away at the progression of creating a data driven swot analysis on a small team that doesn’t already possess all the key skills?” In regard to a SWOT analysis using data, the place to start is to identify what data you do have, and whether it’s of any use…
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You Ask, I Answer: Why Map Customer Journeys?
John asks, “If the customer journey is different for every person, why bother trying to map it?” The presumption is that the customer journey is a wide open field of possibilities, when it’s more like a densely wooded forest. There are a limited number of rational pathways to conversion, and mapping both the probability and…
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You Ask, I Answer: What Makes Effective Facebook Ads?
Jen asks, “How can brands find out which kind of Facebook Ads work best for them?” One way to approach this problem is with large scale data analysis. In your industry, gather up a list of Facebook Pages and use any service which can address the Facebook API like Facebook’s Crowdtangle, then filter to only…
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You Ask, I Answer: Statistical Significance in A/B Testing?
Wanda asks, “How do I know if my A/B test is statistically significant?” Statistical significance requires understanding two important things: first, is there a difference that’s meaningful (as opposed to random noise) in your results, and second, is your result set large enough? Watch the video for a short walkthrough. Can’t see anything? Watch it…
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You Ask, I Answer: Attribution Modeling for Facebook Campaigns?
Hannah asks, “For attribution modeling, what model do you use on your Facebook campaigns?” Facebook offers substantially similar attribution models as Google Analytics; most of these will fail to give you an accurate picture of every digital channel. Unsurprisingly, Facebook’s models tend to paint Facebook in the best light possible; their data-driven attribution model, for…
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You Ask, I Answer: Communicating Marketing Results to Non-Marketers?
Allie asks, “Do you have any tips for sharing marketing results like social media and email marketing analytics to a non-tech-savvy staff?” Most staff in an organization aren’t going to be interested in marketing results unless they work in marketing. Instead, they’re going to want organizational results, so connecting the dots between marketing’s outcomes and…
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Guest Appearance on Digging Deeper With Jason Falls
I had a chance to sit down with Jason Falls to chat about analytics, data science, and AI. Catch up with us over 35 minutes as we talk about what goes wrong with influencer marketing, why marketers should be cautious with AI, and the top mistake everyone makes with Google Analytics. Can’t see anything? Watch…
