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Boost ECommerce Conversions Using Predictive Models (Without a Data Scientist)

ECommerce conversion is all about customer data. Having the right data means higher conversion rates, better segmentation, optimized ad spend, and more repeat purchases.

Today, when most businesses have been forced to move online, marketing and analytics leaders need to take their data to the next level, run predictive models, and stay ahead of their competition.

Join this webinar to learn three primary eCommerce use cases that data science tackles and how you can leverage them even if you're not a data scientist. This session is perfect for senior risk officers, and fraud analysts. Our presenters Gali Michaeli, head of customer success EMEA, and Eilon Baer, Explorium expert data scientist, will dive deep into:
* Customer lifetime value optimization
* Customer segmentation
* Repeat buyers
Recorded Sep 15 2020 37 mins
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Presented by
Gali Michaeli, Head of Customer Success EMEA at Explorium / Ex-Google and Eilon Baer, Senior Data Scientist, Explorium
Presentation preview: Boost ECommerce Conversions Using Predictive Models (Without a Data Scientist)

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  • Data & Analytics 2021: Defining Trends and Trajectories Recorded: Feb 24 2021 59 mins
    Eric Topham | Mark Balkenende | Dedy Kredo | William McKnight
    Gartner predicts that “by 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling”. In 2020, data analytics has evolved together with AI to produce more accurate predictions and educated suggestions. Join Eric Topham and a panel of industry experts and thought leaders to find out how data and analytics will transform human-machine relationships.

    This month's episode of The Business Intelligence Report will look at the defining data and analytics trends to watch in 2021. Some of the topics to be covered during this session will include:
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    Alvin Huang, Business development lead for capital markets at AWS, and Rishi Singh, Explorium VP customer success
    Risk officers and analysts across financial services companies and banks realize that risk modeling in 2020 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals pulled from external data sources.

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  • Boost ECommerce Conversions Using Predictive Models (Without a Data Scientist) Recorded: Sep 15 2020 37 mins
    Gali Michaeli, Head of Customer Success EMEA at Explorium / Ex-Google and Eilon Baer, Senior Data Scientist, Explorium
    ECommerce conversion is all about customer data. Having the right data means higher conversion rates, better segmentation, optimized ad spend, and more repeat purchases.

    Today, when most businesses have been forced to move online, marketing and analytics leaders need to take their data to the next level, run predictive models, and stay ahead of their competition.

    Join this webinar to learn three primary eCommerce use cases that data science tackles and how you can leverage them even if you're not a data scientist. This session is perfect for senior risk officers, and fraud analysts. Our presenters Gali Michaeli, head of customer success EMEA, and Eilon Baer, Explorium expert data scientist, will dive deep into:
    * Customer lifetime value optimization
    * Customer segmentation
    * Repeat buyers
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    Anthony Franklin, PhD., Senior AI Engineer at Microsoft & Fanalytical Co-Founder, and Zach Booth, Explorium Director of BD
    BI helps organizations across industries make sense of their data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them is not trivial.

    Join Anthony Franklin, PhD., Senior AI Engineer at Microsoft and Fanalytical Co-Founder, and Zach Booth, Director of Business Development and Global Partnerships at Explorium, for a live conversation about the best practices, based on their experience with customers and partners, for transitioning to AI.

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    Lenders rely on machine learning models using accurate data for risk assessment. However, with COVID-19 rendering this once reliable data useless, time-intensive manual processing might seem like the only way forward. Or is it?

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Democratizing Access to External Data for Better Predictions
Explorium transforms the way organizations find and acquire data for their machine learning (ML) models. The platform removes the need to spend significant resources and time finding data that works by offering instant access to thousands of relevant external data sources and distilling the most impactful features for each business use case. A unique combination of capabilities and an innovative approach to data acquisition make Explorium’s platform the first of its kind in finding external data. Visit www.explorium.ai to learn more.

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  • Title: Boost ECommerce Conversions Using Predictive Models (Without a Data Scientist)
  • Live at: Sep 15 2020 4:00 pm
  • Presented by: Gali Michaeli, Head of Customer Success EMEA at Explorium / Ex-Google and Eilon Baer, Senior Data Scientist, Explorium
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