Remove Churn Remove Headcount Remove Investment Remove Operational efficiency.
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Building Resilience Through Efficient Scaling In 2023 with ICONIQ Growth General Partner, Doug Pepper, and General Partner and Head of Analytics, Christine Edmonds (Video)

SaaStr

Pepper shares that ICONIQ, a venture capital firm with $10B under management, made fewer investments last year than ever before. A Look Back At 2022 Performance ICONIQ Growth leverages quarterly operating and financial data from 92 enterprise SaaS companies. What are companies doing today to scale efficiently?

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In-context or out of touch: The future of online customer service

Intercom, Inc.

Support teams are facing a critical juncture: business costs and customer expectations continue to grow while resources like headcount and budget are decreasing. In turn, you’ll increase efficiency without increasing your headcount. The devil’s in the data: Data is the fuel for efficiency. Reduce investment costs.

Headcount 118
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Found in translation: How multilingual support helps you scale customer experiences

Intercom, Inc.

How do you ensure a great customer experience globally without adding a ton of headcount? Offering multilingual support doesn’t just drive CSAT scores, it can even impact churn. For online businesses, our customers can come from any part of the world and at any time. Here are our key findings: 1. So where should you begin?

Scale 209
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Insights from Typeform: Leveraging Customer Success to Scale Your Business

OpenView Labs

Over this time, our headcount has grown by over 10x, and our revenue has grown by over 60x. While we made the early decision to invest in Customer Success, the structure of the team behind these efforts has evolved over time. It’s effectively a win-win-win for our customers, our retention and our new business. Education team.

Scale 69
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12 Customer Success predictions and trends for 2023

ChurnZero

First, digital CS will become a way of life due to flat or reduced headcount. For example, things like conversational intelligence and AI will continue to emerge as key data sources for predicting churn, understanding sentiment, and enabling customer-facing teams to be more predictive and proactive. Anita Toth , Chief Churn Crusher.

Trends 98