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Guest Post: How to Design a Customer Success Program That Works

ShepHyken

Account management Offer workshops on relationship-building, active listening, and consultative selling for identifying upsell or cross-sell opportunities. Encourage shadowing experienced account managers who can disseminate their best tips and tricks. Assess how they’re going to harness analytics to make the right decisions.

B2C 349
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Guest Post: Your Guide To Building Customer Loyalty in 2023 (With Tools)

ShepHyken

He writes about the strategies and tools to build customer loyalty. You can also gain valuable insights from the built-in analytics. Use analytics data to connect with customers through their preferred channels. You can enhance your brand recognition by customizing the QR Code with a logo, brand colors, and unique patterns.

CRM 166
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25 Call Center Technology Trends to Watch in 2021

Callminer

Analytics are more important than ever. You need advanced analytics, offered in real-time, so you can quickly and easily make adjustments as needed.” Live engagement tools are a boon for contact centers to handle such scenarios.” Omnichannel analytics will be used to unify and improve CX.

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First Call Resolution Ideas

Callminer

With the top concerns your agents are likely to encounter clearly defined, you can provide stronger training in these areas and tailor tools to match the demand for more specific solutions. Download our white paper, The CX Pro’s Guide to Speech Analytics , to learn more about how speech analytics can help you improve the customer experience.

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Top 5 Things to Look For in a Workforce Optimization Solution

Speaker: Vicki Herrell, Executive Director, SWPP, & Steve Kosiba, Product Marketing Manager, Genesys

Even the most powerful tools become simple to use. And smooth communications with operations staff and accountability to plan become your daily reality. You will also learn: Must-have tools, analytics and functionality that benefit contact centers and/or HR departments.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

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Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.