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Building CRM for Success

9/25/2020

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This webinar explored the new ways to discover to grow your CRM, capture your audience's undivided attention, and continue the conversation all the way to purchase. To make this possible we need to create personal experiences, using customer's unique data to make it happen. 
Here’s an example of how you can personalize your customer communication by gathering proper data and leveraging your CRM. ​
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With a deeper understanding and proper data collection, you're able to set-up your CRM to support personalizing your marketing campaigns. ​
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Effective personalization requires brands to understand their customers in order to communicate with them at different stages of their life, and build a more tailored brand experience from beginning to end.
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Historically, retail stores have played the middle man, making it impossible to gather data from consumers. Today, we're now entering a new digital era where gathering data is not the challenge anymore, but gathering it correctly, organizing it, and managing is.
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About Sampler: Sampler is the leading self-serve digital product sampling solution for brand and agency marketers. Since founded in 2013, Sampler's mission has always been to make product sampling targeted, measurable and turnkey. Sampler has worked with over 200 brands of all shapes and sizes including Kraft-Heinz, Mondelez and L'Oreal. www.sampler.io

About Multitüd by ODAIA: Multitüd gives merchants visibility into who their customers are by using an AI-enabled customer segmentation and analytics platform. This allows Shopify merchants to inform their campaign creative, improve their audience targeting and media activations. www.multitud.ai

Presenters:
Kelly Stewart, Director of Marketing, Sampler
Helen Kontozopoulos, Co-founder, Multitüd by ODAIA

#CRM
#customerdata
#customeranalytics
#shopifymerchants
#artificialintellence
#customerjourneys

Source of images: Sampler
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    Helen Kontozopoulos

    Co-Founder and Chief Tech Evangelist at ODAIA.ai 
    Adjunct Professor, at the Department of Computer Science, University of Toronto, Canada

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