With Salesforce Data Cloud you can:

  • Eliminate inefficiences and reduce manual tasks
  • Integrate tools to maximize ROI on existing technologies
  • Deploy innovative AI solutions
  • Ensure data privacy and complianced

With incomplete data your 360-degree customer view is limited and often leads to multiple sales reps working on the same lead. Slow access to the right leads at the right time leads to missed opportunties and delayed closings. If your team cannot trust the data due to siloes and inaccuracies, they avoid using it.

It is Time to Implement Data Cloud.

Unified

Connect and harmonize data from all your Salesforce applications and external data systems. Then activate your data with insights and automation across every customer touchpoint.

Powerful

With Data Cloud and Agentforce, you can create the most intelligent agents possible, giving them access to the exact data they need to deliver any employee or customer experience.

Secure

Securely connect your data to any large language model (LLM) without sacrificing data governance and security thanks to the Einstein 1 trust layer.

Open

Data Cloud is fully open and extensible – bring your own data lake or model to reduce complexity and leverage what’s already been built. Plus, share out to popular destinations like Snowflake, Google Ads, or Meta Ads.

Salesforce Data Cloud is the only hyperscale data engine native to Salesforce. It is more than a CDP. It goes beyond a data lake. You can do more with Data Cloud.

Your Agentforce journey begins with Data Cloud.

Agents need the right data to work. With Data Cloud, you can create the most intelligent agents possible, giving them access to the exact data they need to deliver any employee or customer experience. Use any data in your organization with Agentforce in a safe and secure manner thanks to the Einstein 1 Trust Layer.

Datablazers are Salesforce community members who are passionate about driving business growth with data and AI powered by Data Cloud. Sign up to join a growing group of members to learn, connect, and grow with Data Cloud. Join today.

The path to AI success begins and ends with quality data.

Business, IT, and analytics decision makers with high data maturity were 2x more likely than low-maturity leaders to have the quality data needed to use AI effectively, according to our State of Data and Analytics report. “What’s data maturity?” you might wonder. Hang tight, we’ll explain in chapter 1 of this guide.

Data-leading companies also experience:

  • 41% improvement in time to market
  • 89% improvement in customer acquisition and retention
  • 45% boost in employee retention

Your data strategy isn’t just important, it’s critical in getting you to the head of the market with new AI technology by your side. That’s why this Salesforce guide is based on recent industry findings and provides best practices to help your company get the most from your data.

Tectonic will be sharing a focus on the 360 degree customer view with Salesforce Data Cloud in our insights. Stay tuned.

It is Time to Implement Data Cloud

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AI agents can effectively revive leads by analyzing past interactions and using data-driven insights to re-engage cold or dormant prospects with personalized campaigns, significantly increasing the chances of converting them into active sales opportunities; essentially turning "dead" leads back into potential customers. Key ways AI agents can revive leads: Lead scoring and prioritization: AI can analyze lead data to identify which leads have the highest potential for conversion and prioritize outreach accordingly. Personalized communication: By analyzing past interactions and lead behavior, AI can craft targeted messages and offers that resonate with individual leads. Automated nurture campaigns: AI can automatically send relevant emails, SMS, or other touchpoints based on a lead's stage in the buying cycle and their interests. Predictive analytics: AI can predict which leads are most likely to convert based on their demographics and engagement patterns, allowing for focused outreach. Dynamic content adaptation: AI can adjust messaging in real-time based on a lead's interactions and behavior, further personalizing the experience. Benefits of using AI to revive leads: Increased conversion rates: By tailoring outreach to individual leads, AI can improve the likelihood of engagement and conversion. Improved sales efficiency: AI automates much of the lead nurturing process, freeing up sales reps to focus on high-potential leads. Reduced costs: By identifying which leads are most likely to convert, AI can help optimize marketing and sales budgets.
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