How to Effectively Use AI SDRs

Sales
November 7, 2024
Karthikeyan Krishnamurthy
Lazy Sales Reps is a myth

I recently saw a post on LinkedIn by Jason Lemkin, where he asked, "Have you actually closed any deals from AI SDRs yet?" While a resounding number of folks said no, some of the comments were interesting—ranging from cautious 'wait-and-watch' stances to outright disapproval of AI SDRs. The truth, as always, lies somewhere in between.

Jason Lemkin's post on AI SDR
Jason Lemkin's Post

I've previously written about "What's Wrong with AI SDRs," and the reality is that while AI SDRs can be a game-changer, their success hinges on how we use them. Often, the skepticism surrounding AI SDRs stems from two major issues: (1) AI SDRs are either used incorrectly or (2) the tool itself over-promises and under-delivers. As a fledgling space, there are plenty of tools that claim a lot but deliver very little. But let's not dwell on the ineffective tools out there. Instead, let’s focus on how to deploy AI SDRs effectively so they become a valuable, consistent source for your sales pipeline.

1. Pick the Right AI SDR Tool

The hardest step in your AI SDR journey is also the most critical: selecting a tool that actually delivers. Not all AI SDRs are created equal. Many tools on the market are simply campaign automation software dressed up as AI SDRs, automating repetitive tasks without adding genuine intelligence or personalization. Look for tools that go beyond just scheduling and sending; they should leverage AI for in-depth research, real-time personalization, and insights on intent. Remember, your AI SDR should act like a human SDR but with data-driven precision at scale. We wrote about the various AISDR tools out there. If you ask me, I would say, you should just use Luru AI SDR agents;)

2. Start Small and Iterate

When deploying AI SDRs, avoid the temptation to dive into massive campaigns immediately. AI SDRs, like human SDRs, need time to understand what works. Start with small test campaigns, measure responses, tweak messaging, and refine targeting based on the signals you receive. This iterative approach will help you avoid costly missteps and ensure that your AI SDR is aligned with your goals. AI tools thrive on data, so feeding them with the right feedback loop is essential. Think of it as building muscle memory for your AI SDR—adjust, test, and grow.

3. Don't Use AI SDRs for Market Discovery

AI SDRs are best at executing strategies, not at discovering new markets. Market discovery is a creative, intuition-driven process that’s still best handled by humans who can interpret complex trends and nuances. If your team can’t identify a viable market, don’t expect an AI SDR to do it for you. AI excels in structured tasks and pattern recognition, not in pioneering new territory. Use your AI SDRs for known segments where they can scale proven messaging and outreach efforts.

4. Don't Reinvent the Wheel

AI SDRs should build on your existing strategies, not reinvent the wheel. If you already know that a particular outreach formula works for your target audience, replicate it at scale using AI. The goal of AI SDRs is not to replace your strategy but to amplify it. Use the AI SDR’s capabilities for scaling personalization and outreach to a level that would be impossible for human SDRs to achieve alone. Whether it's personalized messaging based on firmographics, leveraging recent industry news, or responding to intent signals - make sure your AI SDR is operating within a well-defined framework.

5. Incorporate a Human in the Loop

Despite the rapid advancements in AI, having a human in the loop is crucial for success. AI SDRs can make mistakes, misinterpret context, or sound unnatural, especially in sensitive or nuanced situations. A human in the loop ensures that AI outputs are reviewed, corrected, and adapted to fit real-world complexities. This hybrid approach helps maintain a quality standard and prevents the 'runaway AI' effect, where AI-generated messages feel robotic or out of touch. The human in the loop should review messaging, oversee critical responses, and make sure that the AI SDR aligns with brand tone and strategic goals.

6. Understand the Limitations of AI SDRs

It's essential to recognize that AI SDRs are not a magic bullet. They work best as a tool to supplement and scale your existing sales efforts. Expecting an AI SDR to replace your human sales team entirely is setting yourself up for disappointment. Understand the current limits of AI and avoid placing unrealistic expectations on your AI SDRs. With the right use, AI SDRs can significantly reduce the manual workload of your SDR team, allowing them to focus on high-value activities like nurturing warm leads and building client relationships.

In conclusion, AI SDRs can be a transformative addition to your sales team if deployed thoughtfully. The keys to success are in selecting a robust tool, starting with manageable goals, learning through iteration, leveraging proven strategies, and keeping a human touch in the loop. While the technology is still evolving, those who take a strategic approach to AI SDR deployment will be best positioned to capture its benefits and outpace competitors. So, instead of seeing AI SDRs as a replacement, think of them as an intelligent assistant that scales the efforts of your best SDRs.

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