Salesforce says half of Flex Credit bookings were repeat purchases
Salesforce reported stronger-than-expected quarterly results and announced Claudeforce, a partnership with Anthropic that integrates Claude AI with Salesforce data, workflows and products. The news lifted the company’s value by 12 per cent, but it also highlighted how Salesforce plans to monetise customers’ growing use of AI through bundles and consumption-based pricing.
Revenue reached $11.3 billion for the quarter ending 31 July, up 11 per cent year on year, while Salesforce said bookings linked to its Flex Credits doubled and half came from customers buying more credits after using their initial allocation. Executives said customers could pay by consumption, basic usage or business outcomes, across tools including Agentforce, Slack and Headless 360. Gartner has previously warned that credit-based AI pricing can involve upfront commitments, changing rates and unexpected cost increases unless discounts are negotiated in advance.
- Salesforce’s AI push boosted quarterly results and investor confidence.
- Half of Flex Credit bookings came from customers replenishing usage.
- Credit-based AI pricing may create unpredictable customer costs.
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Salesforce is a US software company whose products help businesses manage customer information, sales and workplace communications. It is adding artificial intelligence tools, including Agentforce, which can carry out tasks for users, and Claude, an AI system made by Anthropic.
Flex Credits are units customers can use to access some of Salesforce’s AI services. Salesforce offers different ways to pay, including charges tied to how much a service is used, so the cost can depend on a customer’s activity and the terms agreed with the company.
This matters as businesses weigh the usefulness of AI tools against their costs. Credit-based pricing can make spending harder to predict, and Gartner has advised customers to negotiate discounts in advance.
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The strongest fair case each way — we don't pick a winner.
The case for
Consumption-based AI pricing can let customers start with a smaller commitment and pay more as they use tools that prove useful, while outcome-based options may link spending to business value. Salesforce’s report that half of Flex Credit bookings came from repeat purchases suggests many customers chose to buy additional credits after trying their initial allocation.
The case against
Credit bundles and consumption pricing can make costs harder to predict, especially if rates or usage patterns change, and customers may feel pressure to keep buying credits once their workflows depend on the tools. Gartner’s warning about upfront commitments and unexpected increases supports the case for clearer pricing and careful negotiation before adoption.
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Originally published by The Register as “Salesforce boasts: 50% of bookings were from ‘customers refilling the tank… they consume Flex Credits, they want more’”.