{"id":30860,"date":"2024-11-13T15:42:22","date_gmt":"2024-11-13T15:42:22","guid":{"rendered":"https:\/\/www.intercom.com\/blog\/?p=30860"},"modified":"2025-05-01T00:25:02","modified_gmt":"2025-04-30T23:25:02","slug":"announcing-new-economics-of-customer-service-guide","status":"publish","type":"post","link":"https:\/\/www.intercom.com\/blog\/announcing-new-economics-of-customer-service-guide\/","title":{"rendered":"Announcing our latest guide: \u2018The New Economics of Customer Service\u2019"},"content":{"rendered":"

Today, we\u2019re excited to share Intercom\u2019s latest guide \u2013 The New Economics of Customer Service<\/em><\/a>. In this guide, we unpack how AI enables support teams to offer high-quality support at scale, in an efficient and cost-effective way.<\/p>\n

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\u26a1\ufe0f Ready to dive straight in and learn how AI broke the linear customer service growth model? Grab a copy \u2192 <\/strong><\/a><\/p>\n<\/blockquote>\n

Growth is a crucial component of any business, and the truth is that sustainable growth is impossible without customer service.<\/p>\n

More customers inevitably means higher support volume. And without the resources to handle rising demand for support efficiently, those customers will be left with a poor experience, a bad taste \u2013 and a strong desire to take their business elsewhere.<\/p>\n

\u201cYou can have speed, provide a great customer experience, or keep costs low \u2013 choose two\u201d<\/p><\/blockquote>\n

But scaling customer service alongside business growth has traditionally been a tricky balance to strike. To meet rising demand, the only real option was to add more and more headcount to your support team, which was costly, time-consuming, and unsustainable. This has always been a catch-22 situation for businesses, leading to the all-too-common refrain: you can have speed, provide a great customer experience, or keep costs low \u2013 choose two.<\/p>\n

AI has changed that; now, there\u2019s another way.<\/p>\n

The linear growth model has been broken, which means support leaders no longer have to grow their teams at pace to meet demand. Instead, they can use AI tools to manage increasing support volume quickly and without driving up costs, all while providing a great customer experience.<\/p>\n

In other words, it\u2019s now possible to unlock the trifecta of better, faster, and cheaper customer service.<\/p>\n\n

What\u2019s inside<\/h2>\n

Our new guide<\/a> reveals how the changing economics of customer service are unlocking new ways for support teams to drive impact and bottom-line results, and offers practical strategies to get set up for success with AI-first customer service.<\/p>\n

You\u2019ll learn:<\/p>\n