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Optimizing Call Center Customer Support for Increased Revenue

Tenfold - Contact Center Blog

Strategies in Optimizing Call Center Customer Support for Increased Revenue. For companies looking to establish a customer-first mindset at their call center, the essential part is to understand the customers in terms of their interests, behavior and needs.

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Contact Center Trends 2021: The CX Watershed

Fonolo

After assessing how the pandemic had changed the call center in 2020 , we decided to peek over the parapet at 2021. We asked the contact center industry’s top influencers and business leaders what they thought the most significant contact center trends in 2021 would be. Omnichannel, Cloud-Based Contact Centers.

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Improving Sales Efficiency With Data & Technology

aircall

For example, if one of your sales teams generates $10 million in revenue and the cost of operating your call center is $2 million annually, your sales team’s efficiency would be 500%: ($10 million ÷ $2 million)*100 = 500%. Tap into big data. Invest in the right call center software.

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Why you need guardrails for your contact center

Cisco - Contact Center

Formula one driving has a few things in common with a call center. There are important elements to racing that apply to running a contact center. The digital and AI revolution is underway and on track to bring extensive changes to all aspects of business, especially the contact center.

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Improving Your B2B Sales Cycle with Technology

aircall

Technology has changed virtually every industry in one way or another. Big data has changed the dynamics of the B2B sales cycle. As for the second point, the rise of big data has not only increased how much data buyers have access to, but the channels they use to do research are more flexible than ever before.

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Top 5 Customer Service Trends to Look out for in 2017

aircall

As the software used by customer support teams gets more agile and intelligent, data collection becomes more accessible to businesses of all size. In many cases, humans are still the best at handling the analysis portion of big data, which is qualified and time-consuming work. Let us know in the comment section!