Predictive analytics marketing process

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What could the predictive analytics process look like in your company?

Define the question: Determine what question you want to answer, such as which potential customers are likely to subscribe to your service within the next 30 days.

Collect data: Collect the necessary historical data hong kong phone number data about potential customers, demographics, and channels.

Perform descriptive analysis: Analyze data to find out facts like average conversion time across different channels and correlation of demographics with time frames.

Use statistical techniques: Use statistical techniques to test your theories.

Create a predictive model: Once you have your results, create a predictive model that can predict the results.

Deploy a model: Deploy a predictive model and gain actionable insights, such as which leads are likely to sign up in the next 30 days.

Create targeted strategies: Based on insights from the model, create targeted marketing strategies to maximize conversions.

Update the model regularly: Keep the predictive model up to date with new requirements and data.

Remember that external influences such as seasonal changes, news events, or global crises can skew your data. It is important to consider these factors when analyzing and using predictive analytics.