Marketing and brand teams can attest that there’s often tons of new content and messaging generat that gets lost in the ether and doesn’t actually make it into the prospect emails. AI ensures that reps use consistent, on-brand messaging by pulling content from Outreach’s Seller Content Hub, ensuring that communication is cohesive and in line with the brand’s standards.
One enterprise customer uses AI prospecting to re-engage D-tier accounts that haven’t been touch in over six months. Their takeaway: even one opportunity out of a thousand is revenue their wouldn’t have had otherwise. Since no rep is actively working these accounts, the AI accent steps in to capture low-hanging revenue that would’ve otherwise gone unnotic.
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What sets Outreach’s AI prospecting agent apart?
How the AI prospecting agent works in daily workflows
Sometimes AI can feel intimidating, and it's not always hong kong whatsapp number data 5 million clear how it actually works in practice. For sellers looking to implement an AI prospecting tool into their workflow, we’ll break down how the agent works:
1. Identify & Research
This is usually where reps are spending the most amount of time: finding the right prospects by sifting through mountains of data and noise on the web. The AI pulls in third-party data signals—such as company news, product launches, funding updates, and more—leveraging CRM data and intent signals to surface key insights. This helps BDRs narrow down their search.
2. Generate
Using those insights, the AI agent crafts personaliz outreach messages that align with the prospect’s current business context. It adapts bas on data from previous interactions and the prospect’s unique situation. For example, instead of having to scour through LinkIn to find out if a company has a recent product launch or relevant update, the AI will pull that data in seconds and craft an email for BDRs.