
Has your business outgrown CPQ?
Discover Salesforce Revenue Cloud Advanced Salesforce Revenue Cloud Advanced (RCA) is the newest revenue from Salesforce, combining CPQ and Billing into a single, powerful solution built on the Salesforce platform. RCA includes CPQ, Billing, and CLM capabilities, as well as analytics and AI, streamlining the quote-to-cash process and providing greater flexibility, accuracy, and data-driven insights. […]
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Are you making the most of Salesforce CPQ?
Salesforce CPQ (Configure, Price, Quote) is a powerful tool that streamlines the sales process and improves pricing accuracy and speed in responding to customers. Ultimately it improves a business’s ability to respond to and win deals. CPQ offers a huge amount of customisation and raw performance. However, like all platforms to truly unlock its full […]
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Supercharge Your Sales Team with Agentforce SDR Agents
Are you looking for ways to boost your sales pipeline and free up your sales representatives’ time? Imagine having a virtual assistant that works around the clock to engage potential customers and qualify leads. That’s precisely what Agentforce SDR (Sales Development Representative) Agents can do for your business.
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The Power of Prompt Builder in Agentforce
In today’s fast-evolving AI revolution, Agentforce and Prompt Builder are redefining how businesses move beyond basic automation to intelligent, action-driven and conversational solutions. Agentforce and Prompt Builder enable Salesforce users to create a dynamic, responsive workspace that drives sales, improves customer service and enhances overall efficiency.
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Building trust in your AI Agent with Testing Center for Agentforce
Imagine having a team of digital employees working for your business, handling customer queries, processing orders, and more. That’s the promise of Agentforce, but like any new employee, these AI Agents need training and testing to ensure they perform their roles accurately and reliably. This is where the Agentforce Testing Center comes in.
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Why the Einstein Trust Layer is a key part of Agentforce
In today’s world, we’re hearing more and more about the power of Artificial Intelligence (AI). But with new technology comes new questions, especially about security and privacy. The Einstein Trust layer, as part of Agentforce, is designed to address these concerns.
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New Starter – Andrea D’Almeida
Andrea joined #TeamNebula in January as a Functional Consultant, read on to find out more!
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Why Marketers Should Still Learn HTML Fundamentals in 2025
In the ever-evolving world of digital marketing, it’s easy to get swept up in the latest trends, tools, and platforms. From social media algorithms to the endless new features on email marketing platforms, the digital landscape is constantly shifting. But in all of this, there’s one fundamental skill that often gets overlooked — the ability […]
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Live Your Values: Turning Challenges into Triumphs
How staying true to your core principles can transform challenges into opportunities. Every professional journey has its moments of uncertainty—those challenging projects that push us to the edge and demand more than just skill and expertise. In moments like these, it’s our core values that become our compass.
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Marketing Cloud for Account Engagement customers – What, How and Why?
As an Account Engagement User, you’ll have seen this banner displayed since the Winter ’25 release prompting you to explore what is new in Marketing Cloud. But what is available, how can we access it and why? Let’s get into it!
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Switching from Hubspot to Account Engagement (Pardot)
Hubspot and Account Engagement have been around in the marketing automation space for a similar amount of time. This year, we’ve seen an increase in the number of customers looking for support with switching from Hubspot to Account Engagement, but why?
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Salesforce Revenue Cloud (RLM) vs CPQ: Understanding the core differences
With the release (GA) of Salesforce’s new product, Revenue Cloud (formerly known as Revenue Lifecycle Management), there have been a lot of discussions regarding Salesforce CPQ and the future of the product.
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