Pretty bad predictions: Portland snow in summer

While waiting at the dentist recently, my phone alerted me about some snow starting.

In Portland.

In summer.

When it was 59 F outside.

Predicting the weather is difficult but there are rare predictions and crazy predictions.

Predicting snow at sea level when it's 59 is a crazy prediction.

That's why it's best to double check any forecasts and predictions that come from software, especially when it's so far out of bounds. Doubly so if you're using automation based on the predictions (e.g. marketing automation, ad campaigns)

Even if it's right 99% of the time, that 1% time will get you and could be costly.

Guess it's time to dig out my snow shoes and see if they fit my sandals.

Repeat Customer Insights uses your customers' historic behavior with its predictions. Plus the RFM algorithm is self-correcting so it reduces the chances of crazy outcomes.

If you're trying to improve your repeat customer campaigns, it'll give you actionable advice for dozens of different customer segments.

Eric Davis

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Segment your customers automatically with RFM

Segmenting your customers has always been touted as a powerful marketing tool but many stores avoid it because it can be time-consuming.
Repeat Customer Insights will automatically segment your entire customer base for you based on the valuable data Shopify has already collected for you. Ranging from 5 to 30 to over 125+ different segments using RFM and other models, you can pick how much power you want to harness.

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Topics: Customer analysis Data

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