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Blog | 6 Underrated Growth Strategies Made Easy with Agentic AI | 08 July, 2025

6 Underrated Growth Strategies Made Easy with Agentic AI

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Most teams still follow the same old routines. They launch ads, send out emails, do SEO, and post on social media. These things work to some extent, but they don't offer any real growth.

The truth is, real growth now happens in the quiet moments that most people overlook. It’s not always about big campaigns. It’s about what happens when a user hesitates, skips a step, or shows a tiny signal. That is where agentic AI quietly does the work.

With agentic AI marketing, you're not just reacting. You’re letting AI agents act on their own when growth moments show up.

In a 2025 Gartner poll, 42% of companies made small bets on it. 19% went all in. The rest are still waiting.

In this blog, we will talk about 6 growth strategies that you can get started with agentic AI.

6 Agentic AI Strategies That Work Without You Watching Over Them

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1. Automatic Micro-Reactivations (Before Users Fully Drop Off)

What this strategy means:

Most brands only react when a user is clearly gone. Maybe they have not logged in for two weeks. Or they stopped opening emails for a month. By then, it is already late.

But early signs of drop-off are easy to miss. A skipped feature. A drop in frequency. A change in usage pattern. These are all quiet indicators.

AI-driven growth strategies today focus on acting during that small window of risk. Before the user fully checks out. These are called micro-reactivations.

They are subtle. But they work. And they work even better when you don’t wait to act.

How you can fulfill this strategy with Questera:

With Questera, you don’t need to define drop-off rules. SEGA, the segmentation agent, constantly reads behavior in real time. It knows when a user is at risk, even before they seem inactive.

The moment it spots a drop, it signals ELMA, the lifecycle email agent. ELMA sends a helpful nudge. Maybe a tip, maybe a small incentive, or just a simple check-in.

And here is what’s better: you do not need to build these manually. They happen automatically. In-app, email, or push. Each message is timely, personal, and designed to bring the user back.

This kind of agentic AI marketing is not flashy. But it works silently in the background to keep your users active. And in the long run, that is what builds real growth.

2. Cross-Channel Nudging Based on Real Behavior

What this strategy means:

Sending a single email or showing a one-time ad used to be enough. But now, users expect more. They move between platforms, devices, and channels all day long.

If you send a message on the wrong channel, or at the wrong time, they ignore it. That message is lost.

Cross-channel nudging is not just about covering more ground. It is about moving with the user. Watching how they behave, and choosing the right moment to engage across email, ads, push notifications, and more.

This approach feels personal. It also feels natural. Which is exactly what users want today.

How you can fulfill this strategy with Questera:

With Questera, this happens without you needing to coordinate across teams or tools. OMNIA, the cross-channel AI agent, listens to everything in real time.

Let’s say a user browses your product but does not buy. OMNIA might first send a reminder email. If that does not work, it triggers SARA to show a dynamic retargeting ad. If the user visits again but still doesn’t convert, OMNIA activates a push message or a chatbot follow-up.

Every action is linked. Every message is based on actual behavior. And it all happens without building complex flows.

This is how agentic AI growth strategy removes the friction. No more chasing users. The AI agents handle the flow for you.

2. Cross-Channel Nudging Based on Real Behavior

What this strategy means:

Sending a single email or showing a one-time ad used to be enough. But now, users expect more. They move between platforms, devices, and channels all day long.

If you send a message on the wrong channel, or at the wrong time, they ignore it. That message is lost.

Cross-channel nudging is not just about covering more ground. It is about moving with the user. Watching how they behave, and choosing the right moment to engage across email, ads, push notifications, and more.

This approach feels personal. It also feels natural. Which is exactly what users want today.

How you can fulfill this strategy with Questera:

With Questera, this happens without you needing to coordinate across teams or tools. OMNIA, the cross-channel AI agent, listens to everything in real time.

Let’s say a user browses your product but does not buy. OMNIA might first send a reminder email. If that does not work, it triggers SARA to show a dynamic retargeting ad. If the user visits again but still doesn’t convert, OMNIA activates a push message or a chatbot follow-up.

Every action is linked. Every message is based on actual behavior. And it all happens without building complex flows.

This is how agentic AI growth strategy removes the friction. No more chasing users. The AI agents handle the flow for you.

3. Predictive Referrals (Before the Peak Moment)

What this strategy means:

Referrals can be powerful. But most programs ask users to refer their friends after they have already converted. By that time, the moment of excitement may have passed.

The better timing is just before that peak. When users are almost there. When they are actively engaged. When they feel like sharing.

This is what predictive referrals are all about. Acting before the high, not after it.

How you can fulfill this strategy with Questera:

SEGA continuously learns from real-time behavioral patterns and user signals. It is able to identify when someone is moving closer to making a conversion, not just by observing current actions, but also by comparing those actions with similar past user journeys that resulted in successful outcomes.

As soon as SEGA recognizes a user with strong conversion intent, ELMA or SARA initiates a carefully timed referral request. This request may be delivered through a personalized email, a well-placed ad that includes an invite code, or a custom reward offer that feels relevant and timely based on user behavior.

This proactive and data-driven approach helps generate higher-quality referrals because it uses momentum at its strongest point. It does not rely on delayed post-purchase surveys or follow-up messages that arrive too late to matter.

This strategy is a clear example of one of the most effective AI growth tactics for startups, and with Questera, the entire process happens automatically, without requiring any ongoing manual setup.

4. Intelligent A/B Testing That Ends Itself

What this strategy means:

A/B testing is useful. But it often slows things down. You have to plan it, monitor it, analyze the data, and pick a winner. Then you have to deploy the winner manually.

That is a lot of work for something that should be fast.

Agentic AI can now handle the full testing cycle on its own. From setup to finish. Without your team watching every metric.

This makes testing faster. It also removes delays from decision-making.

How you can fulfill this strategy with Questera:

GIA, the analytics agent, works with ELMA to test multiple versions of content. Whether it is subject lines, offers, or design- everything is tracked automatically.

As results come in, the AI agents pick the top performer. The better version is rolled out across the campaign.

This kind of smart execution is part of AI-driven growth strategies that many teams are now starting to adopt. But with Questera, you don’t need to learn anything new. The agents do the optimization for you.

5. Journey Personalization Without Journey Mapping

What this strategy means:

Most teams still map customer journeys using static flows. Step one, then step two, and so on. The problem is, real users do not follow those flows. Their paths change every day.

Journey personalization today is not about mapping every possible path. It is about reacting in real time and adjusting the experience as the user moves.

This is where agentic AI for growth stands apart.

How you can fulfill this strategy with Questera:

OMNIA builds user journeys on the go. It does not need a flowchart. It picks the right action for each user based on what just happened, not based on what was planned.

If someone skips a step, it adapts. If someone speeds ahead, it keeps pace. If someone lingers, it knows when to wait.

This approach makes your messaging feel alive. And it removes the need for guessing. Your users get exactly what they need, when they need it.

That is how agentic AI marketing makes things easier and smarter.

6. Revenue Recovery via Invisible Retargeting

What this strategy means:

Retargeting is often overused. Many users get bombarded with ads that feel forced or annoying. The truth is, most of them are not ready. Or they were never interested to begin with.

Invisible retargeting is different. It only activates when the signals are strong. It only shows up when it makes sense. And it feels like a helpful reminder, not an aggressive push.

How you can fulfill this strategy with Questera:

SARA, the smart ad agent within Questera, continuously monitors for clear behavioral signs that indicate strong user intent. These signals might include a user returning to the website for a second time, spending a longer duration scrolling through a key page, or viewing the pricing section with focused attention.

When SARA detects these intent-rich behaviors, it automatically initiates a retargeting sequence that is tailored to the user's exact context. This could mean showing a limited-time discount, a highly relevant customer testimonial, or a handpicked product recommendation that matches their recent activity.

The result is a retargeting experience that feels timely and thoughtful, not repetitive or intrusive. Because these messages are activated based on real behavior, they tend to connect better with users and convert more effectively.

This is a real-world example of an AI growth strategy case study that demonstrates how smart, data-driven decisions made by agentic AI can quietly recover significant revenue, especially for startups looking to scale efficiently without overwhelming users.

Conclusion: Growth That Works Even When You Are Not Watching

Growth today is no longer about doing more. It is about doing the right things at the right time. And often, that means acting when no one else would notice.

With agentic AI marketing, every small moment becomes an opportunity. You don’t have to micromanage. You don’t need to be in every campaign. Your AI agents are already on it.

Questera empowers you with the opportunity to win using these six under-rated strategies possible today without applying pressure to your team members. They run quietly. They adapt quickly. And the results grow exponentially over time.

If you are looking for AI growth strategies for startups that work, start here. Let the agents do the heavy lifting. And, focus on building the business only you can build.

FAQs

What is agentic AI and how does it help with growth strategies?

Agentic AI refers to autonomous AI systems that actively make decisions and take actions without needing constant manual input. In the context of agentic AI marketing, these AI agents detect behavior patterns and execute strategies in real time. This helps brands act faster, engage users better, and get hidden opportunities for growth.

Why are these growth strategies considered underrated?

These strategies are often overlooked because they happen in the small, quiet moments that most teams miss like subtle drop-off signs or behavioral shifts. With agentic AI for growth, brands can act on those moments instantly. That’s what makes them powerful: they work in the background without needing constant attention.

How does Questera use agentic AI to improve marketing performance?

Questera uses a team of AI agents like ELMA, SARA, SEGA, and OMNIA to automate core tasks such as segmentation, personalization, retargeting, and journey creation. Each agent works independently but in sync with others. This makes AI-driven growth strategies seamless, responsive, and far more efficient than traditional marketing automation tools.

Can agentic AI be useful for early-stage startups?

Yes, especially for startups that want to scale faster without growing a large team. Agentic AI growth strategy tools like Questera allow early-stage companies to execute advanced tactics like smart retargeting, predictive referrals, and adaptive journeys with minimal effort. Many AI growth tactics for startups now rely on agentic systems to stay lean and effective.

Do I need technical knowledge to use agentic AI tools like Questera?

Not at all. The beauty of agentic AI marketing is that the intelligence lives in the agents, not in complex dashboards. Questera is designed to work without coding or deep configuration. The agents act autonomously, and you stay in control through a simple, user-friendly interface.

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