Agentic Marketing: The Future of AI-Driven Marketing Strategies

Your traditional marketing tactics are not going to make it because they are not scalable, do not have a ‘wow effect’, and are underwhelming. No worries though, enter agentic marketing into the chat. Agentic marketing is where AI agents autonomously execute marketing strategies, creating personalized and engaging experiences for your audience.

What does embracing Agentic Marketing looks like though? the future of AI-driven marketing strategies means leveraging AI agents to automate and optimize various marketing tasks, from content creation to customer engagement. Often times, we think that using agents means efficiency such as automating repetitive tasks and getting the job done faster, right? For example, many marketing teams will go to the obvious places of using AI to summarize articles, generate social media posts, or create email campaigns. While these are great use cases, they are not the only ones. You’re thinking too small.

A more futuristic approach of putting AI agents at play is not only enhancing efficiency but also creating a far more sophisiticated experiences with a touch of personalized data points that really push the boundaries of what marketing can be. Following are some examples of how you can leverage agentic marketing.

Personalized onboarding experiences

When a user signs up for your SaaS product, instead of sending them a generic welcome email, you can use an AI agent to analyze their profile, preferences, and behavior to create a personalized onboarding experience. This could include tailored tutorials, product recommendations, and even personalized follow-up emails based on their interactions with your product.

Here’s Arvid Kahl’s idea on how to implement this:

Why stop there? You can take it a step further by integrating AI agents into more onboarding touchpoints, such as queueing up a cron job for several days after sign-up to analyze the user’s behavior based on your product analytics and events (posthog anyone?). The AI agent can then send personalized emails or notifications based on the user’s actions, such as completing a specific task or reaching a milestone within your product.

Your users have a technological footprint, use it

Instead of sending out generic webinar invites, you can use an AI agent together with a web crawling capability such as FireCrawl and a knowledge graph capability such as Weaviate to gather information about your target audience. You already have the user’s email address, likely their name and company, but what about their interests, recent activities, or even their pain points? Can you stich together a more business-oriented profile of your audience?

There’s a line here of privacy, ethics and personal social aspect to be unfolded so I don’t want to say this too lightly as I’m aware of the cringe factor here but I’ll speak for myself and give you an example that I can attest to for my own as a user - if I’m on your platform, and you’ve used my email to track my GitHub profile and realize that I’ve been recently active working with a new framework or programming language, and you take that information and send me an email about a webinar, or meetup, or new product support for said technology you identified that I’m working with - I’ll be very engaged and inclined to follow-up on it. That’s super relevant to me.

Agentic Deep Research

Instead of current day market research which relies on tactics such as:

• Surveys: most often startups are leveraging partners and third-party services to “buy out a survey” to get a sense of the market (because startups often don’t have the reach or resources so they outsource it and that translates to hefty $$$)
• Focus groups: finding them, doing outreach, invites, organizing the logistics for meetings etc is costly and time consuming.

Not that any of the above is wrong or inherently bad, not at all, but they’re often a resource cost you have to pay upfront without knowing the outcome, and a lot of time startups and marketing teams don’t have the luxury of time or money to spend on these activities.

What if instead you could leverage AI (yes yes, AI again, surprise surprise) AND scour through the plethora of insights that are already out there, like say, on Reddit? Imagine the treasure trove of market research and competitive analysis you can gather out of genuine user conversations, feedback, ideas, pain points, and seamlessly blend that information together into an AI conversation where you can utilize the powers of LLMs to summarize, extract insights, and even generate reports based on the data you’ve gathered. Priceless, I tell you.

Actually, not priceless. It’s free :-)

Ok, almost. Depends on how you approach it but here’s one example that I want to call out as I’ve been wanting to give you practical examples through-out this write-up.

The reddit-research-mcp server allows you to plug this MCP Server (whether remotely hosted or self-hosted) into your AI of choice (Claude Desktop, ChatGPT, Gemini) and do deep research on Reddit data. You can provide it with a Reddit API key or use the remote hosted version. It allows you to do semantic search across more than 20,000 subreddits and leverage the power of LLMs to extract insights from Reddit’s vast data.

Consider the prompt:

Please conduct comprehensive Reddit research to answer: Snyk security platform - gather insights, pain points, user feedback, what users love, what gaps exist in the product, what will delight developers and security practitioners

What’s next?

Given that I’ve already received a bunch of emails that I can only guess follow the above logic to an extent, I’m sure that these marketing and outreach strategies are already being put to use.

The possibilities are many and every day you’re stuck with traditional marketing strategies is a day you’re missing out on keeping up with the future and creating magical experiences that delight your users and customers.