SaaS companies serving SMBs in non-tech industries can create a new revenue stream by offering a managed service—using humans-in-the-loop but framed as an "AI boost"—to run marketing campaigns for them. This provides immense value and captures more of the customer's budget.

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Don't just replace human tasks with AI. Deploy AI agents to handle leads your sales team ignores, like small deals or low-scored prospects. This untapped segment, as SaaStr found with a 15% ticket revenue lift, represents significant growth potential by filling a gap in your GTM process that humans create themselves.

To effectively serve SMBs, B2B marketers must evolve their approach from collaboration ('do it with them') to automation ('do it for them'). SMB owners are not marketers and lack the time and staff to manage complex tools. The most valuable service is one that simplifies complexity and leverages technology to execute marketing tasks on their behalf, empowering them to achieve more with minimal direct involvement.

AI is creating a fork in marketing strategy. It disrupts traditional demand acquisition channels like search, making it harder and more expensive to get measurable traffic. Simultaneously, it provides powerful new tools to monetize existing demand more effectively. This forces a strategic shift from a volume-based to a value-extraction model.

Beyond booking meetings for high-value deals, AI agents can be empowered to handle the full sales cycle for lower-priced products. They can answer questions, provide discount codes, and conduct follow-up, creating a significant, automated revenue stream with no human sales involvement.

SMB owners are not asking for technologies like AI by name. They are asking for outcomes and efficiency. B2B marketers should position advanced features not as 'AI' or 'video tools,' but as embedded, invisible solutions that make a marketing hour more impactful. The goal is to provide tools that a business owner can naturally use to get a return, without needing to become a technology expert.

Stop thinking of sales, marketing, and support as separate functions with separate tools. AI agents are blurring these lines. A support interaction becomes a lead gen opportunity, and a marketing email can be sent by a 'sales' tool. Prepare for a unified go-to-market operational model.

AI's future impact will transcend mere workflow efficiency. It will act as a strategic 'equalizer,' enabling smaller, leaner marketing teams to operate with the sophistication of larger enterprises. This means gaining access to advanced personalization, audience management, and performance optimization that directly impacts the bottom line.

Property management startup Tour found customers didn't know how to create video tours. By providing AI-generated scripts and shot lists, they turned a daunting creative task into a manageable, step-by-step process, significantly boosting adoption among non-technical users.

Don't wait for the perfect AI marketing platform. Repurpose existing AI sales tools for marketing automation. Their sequence and re-engagement capabilities can be hacked to run hyper-personalized drip campaigns, bridging the current technology gap.

In a world where AI makes software cheap or free, the primary value shifts to specialized human expertise. Companies can monetize by using their software as a low-cost distribution channel to sell high-margin, high-ticket services that customers cannot easily replicate, like specialized security analysis.

Sell "AI-Boosted" Managed Marketing Services to Low-Sophistication SMBs | RiffOn