UX Planet
JANUARY 23, 2024
Master Google Analytics 4 for user behavior analysis, UX design optimization, and enhanced website performance to improve sales. Hi there, I was looking into Google Analytics 4 and found an article by Alice Emma Walker. If you know about Universal Analytics , it’s going away on July 1, 2024. It’s six years old.
Userpilot
NOVEMBER 14, 2023
Omnichannel analytics enable teams to get a 360 view of user behavior at different touchpoints of the customer journey. In particular, it covers: What omnichannel analytics are Why it’s important to track How to implement your omnichannel analytics strategy Omnichannel analytics tools Let’s get right into it!
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Userpilot
JULY 24, 2023
Are you looking for Zendesk integrations to boost the efficiency of your self-service customer support? The article explores the best Zendesk integrations for: Customer support Customer feedback Productivity Email and social media communication Analytics and reporting Let's get right to it! If so, you’re in the right place!
Mixpanel
FEBRUARY 6, 2020
In 2019, industry-leading Business Intelligence tools (BI tools), Looker and Tableau, were acquired by Google and Salesforce for over $18 billion combined. These massive deals show that BI tools and data warehouses are a powerful combo that companies across the globe are incorporating into their tech stacks.
Speaker: Richard Cheng, Associate Product Manager, Mark43
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. How efficient intelligence and analytics will benefit your users.
Indicative
AUGUST 12, 2020
G2 has named Indicative as a Leader in Customer Journey Analytics in G2’s 2020 Summer Report. . Indicative is the only Customer Analytics platform designed specifically for non-technical business users that connects directly to your data warehouse. High Performer in Digital Analytics. Why We’re Leaders.
Gainsight
MARCH 30, 2023
Originally published June 2, 2022 By Brian LaFaille, former Global Head of CS Strategic Programs at Looker Digital Customer Success is for everyone. We caught up with Brian LaFaille, former Global Head of Customer Success Strategic Programs at Looker, to get his take on segmentation and how they score customers at Looker.
Speaker: Eric Feinstein, Professional Services Manager, Looker
For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.
Speaker: Sam Owens, Product Management Lead, Namely Platform
Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. If your users would want analytics as part of their interface, you don't want to miss this session.
Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker
As a product leader, you are tasked with collecting and synthesizing your customer’s interactions with your product.The great news is that there are many tools used across your company which collect unique parts of your user’s journey. As your sources of data increase, so do the complexities of unifying the data in a meaningful way.
Speaker: Andrew Wynn, Senior Product Manager, Looker
As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.
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Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How to enable data teams to model and deliver a semantic layer on data in the cloud.
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