Leafly- Customer and Strain Analytics

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Transcript of Leafly- Customer and Strain Analytics

Page 1: Leafly- Customer and Strain Analytics

Customer and Strain AnalyticsBy: Casey Hynes, Ryan Carlile, Nate Harris, Laurel Pauling, and Jiaqi Ye

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Agenda● Cannabis information resource

○ Products○ Dispensaries

● New company looking to reach customers to build its community ● Reports and models to explore customer demographics and strain ratings

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Leafly’s Needs● Marketing

○ Target market ■ Demographics■ Geographics

● Industry growth - legalization● Future E-Commerce model● Key business questions:

○ What target market is has the most potential for future sales in the cannabis market?○ Which strains are the most popular among specific demographics?○ Which strain type is the most widely used?

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Technology Solution

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Dashboards and Reports● Customer demographics:

○ Age, gender, income○ Location and registration dates

● Strain ratings:○ Customer demographics○ Location○ Date

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Data Upload● Flat file

○ For our fact tables we used CVS files, to insert a mass amount of data○ We Used SSIS to move the data from the CVS file to the datamart

● Manual data insertion○ For low cardinality tables, manual insertion was the most efficient method of data

creation

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Datamart

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OLAP/Cube● SQL walkthrough

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Conclusion ● Target growing industry

○ Legalization in new states○ Future eCommerce site○ New marketing strategies for existing customers

● Demographics○ Understanding customer interests by demographic○ Popularity of products