10 Agentic Marketing Recipes We’ve Tested

Most marketers spend hours building campaigns, running ads, sending emails, and pushing notifications. What most do not realize is that these systems still depend on outdated tools that cannot think, adapt, or change on their own. This is why so many agentic marketing campaigns fail to deliver better results.

Even as customer behavior shifts daily, traditional systems follow the same fixed rules. It is no surprise that 65% of online retailers now use AI agents with CRM systems to handle customer interactions. Businesses are learning that manual workflows are not enough.

This is exactly where agentic marketing transforms the approach. AI agents power fully autonomous agentic marketing strategies, learning from data and driving outcomes automatically. In this blog, we share ten proven agentic marketing recipes, infact, real marketing recipe examples and marketing experiment recipes built for growth, including agentic marketing recipes for startups and enterprises.

10 Agentic Marketing Recipes You Should Steal

1. Abandonment Recovery 2.0 (Beyond Cart)

What it does:

Most brands focus on recovering users who abandon their cart, but that is only part of the story. Customers drop off at many different points- checkout pages, pricing pages, feature comparisons, or support pages. This recipe recovers users at any high-intent point, not just the cart.

How agentic AI works:

The AI constantly watches for exit intent signals. If a user visits the pricing page multiple times or leaves after checking FAQs, the AI knows they are likely on the fence. The AI decides whether to send a discount, a reminder, or helpful information, and which channel works best. It happens in real time, without anyone setting up manual flows.

Questera's role:

AI agents like ELMA and SARA automatically detect abandonment moments across the customer journey. They select the right message, channel, and timing. Whether it’s an email reminder, a push notification, or an SMS, the AI handles it instantly with zero manual input.

2. Smart Win-Back Sequences

What it does:

Most businesses wait 30, 60, or 90 days of inactivity before launching a win-back campaign. But this timeline often misses the mark. Some users disengage much earlier, while others stay interested longer. This recipe triggers win-backs based on real disengagement, not arbitrary time frames.

How agentic AI works:

The AI monitors how frequently users engage- checking visits, product usage, and email opens. When it notices someone slipping away, the AI triggers the perfect response. It could be a reminder, a helpful guide, a feedback request, or even a time-limited offer. The AI decides everything based on patterns, not presets.

Questera's role:

Questera’s AI agents identify early signs of disengagement and select the right message and the best channel, whether it is email, SMS, or push. They personalize offers based on user history and preferences to increase the chances of bringing them back.

3. Dynamic Cross-Sell and Up-Sell Moments

What it does:

This recipe boosts revenue by offering upgrades, add-ons, or related products- but only when the timing is right. It avoids generic suggestions and sends offers tailored to what users are actively exploring or showing interest in.

How agentic AI works:

How agentic AI works: The AI watches in real time as customers interact with products, services, or features. It detects patterns that signal purchase intent for an upgrade or add-on. When that signal appears, the AI sends a personalized offer or suggestion on the spot, instead of waiting for a preset upsell email.

Questera's role:

Questera’s AI agents deliver timely cross-sell or upsell messages through email, in-app prompts, push notifications, or retargeting ads. The AI adapts the offer based on behavior, offering something helpful, not pushy.

4. First-Time User Magic (Adaptive Onboarding)

What it does:

Traditional onboarding is often the same for everyone. This recipe creates onboarding experiences that adapt based on how a new user behaves. Whether they get stuck, skip steps, or move quickly, the AI adjusts the journey.

How agentic AI works:

The AI monitors user activity from the first login. If a user struggles or skips important steps, the AI sends help- tutorials, prompts, or support offers. If someone moves fast, it suggests advanced features or next steps. The entire experience evolves automatically.

Questera's role:

AI agents guide users through onboarding using email, push, or in-app messages. The agents personalize the pace, the content, and the format to each user’s needs, making onboarding smoother and increasing activation rates.

5. High-Intent Retargeting Without the Creep Factor

What it does:

This recipe avoids showing annoying, repetitive ads to people who barely showed interest. Instead, it focuses on users who show strong buying signals, like visiting pricing pages or comparing products.

How agentic AI works:

The AI monitors which users are truly interested, based on behaviors like repeated visits to key pages or interactions with features. It automatically updates retargeting audiences, chooses the right creative, and even decides when to stop showing ads if the user’s intent drops.

Questera's role:

SARA, Questera’s AI agent for ads, handles all of this. It constantly updates ad audiences, creatives, and offers based on live behavior. This saves ad spend, avoids annoying customers, and improves return on ad spend (ROAS).

6. Churn Prevention Nudges

What it does:

Instead of waiting for users to cancel or disappear, this recipe identifies early signs of churn and sends proactive nudges to retain them.

How agentic AI works:

The AI watches signals like declining usage, missed logins, skipped renewals, or dropped engagement. It predicts when a customer might churn and responds with helpful nudges, check-ins, support offers, or retention discounts, all without manual setups.

Questera's role:

Questera’s AI agents trigger retention campaigns through email, WhatsApp, push, or SMS. The message is always tailored, whether it’s offering help, suggesting features, or providing an incentive to stay.

7. Intelligent Trial-to-Paid Conversion

What it does:

Converts more free trial users by adapting messages based on real-time product usage, rather than sending generic “Your trial is ending” emails.

How agentic AI works:

If the AI notices low usage, it sends helpful guides, offers onboarding help, or prompts feature exploration. If the usage is high, it triggers upgrade offers, testimonials, or time-limited discounts that match the user’s behavior and intent.

Questera's role:

Questera’s AI agents link product usage data with personalized messaging across email, push, SMS, and in-app. They drive conversions by meeting users exactly where they are in their trial journey.

8. Event-Triggered Lifecycle Campaigns (Not Rule-Based)

What it does:

Most lifecycle campaigns run on timelines like Day 1, Day 3, or Day 7. This recipe removes fixed timelines and replaces them with real behavior-based triggers.

How agentic AI works:

When a user completes an event like finishing onboarding, adopting a feature, or going inactive, the AI immediately delivers the right message. The timing is always driven by customer behavior, not preset schedules.

Questera's role:

Questera’s AI agents automate entire lifecycle journeys across all channels. Whether the user reaches a milestone or starts slipping, the AI knows what to send and when, without relying on date-based workflows.

9. Hyper-Personalized Product Recommendations

What it does:

What it does: Delivers product or content recommendations that are fully personalized based on live user behavior, not just static rules like “customers also bought.”

How agentic AI works:

The AI constantly tracks what users browse, what they skip, and how they engage. It dynamically suggests the most relevant products, content, or offers that align with current intent, not generic historical data.

Questera's role:

Questera’s AI agents power recommendation engines across email, web, and in-app. As users browse or interact, the suggestions evolve in real time, making every touchpoint more relevant.

10. Multi-Channel Conversational Commerce

What it does:

This recipe allows businesses to run personalized, two-way conversations across multiple channels like SMS, WhatsApp, email, push, and in-app chat. The goal is to guide users toward a purchase or solve their needs quickly.

How agentic AI works:

The AI decides which channel the user prefers, what message works best, and when to engage. It manages conversations intelligently, adjusting tone, offers, and timing based on real-time user behavior. If needed, it hands off the conversation to a human agent without losing context.

Questera's role:

Questera’s AI agents handle cross-channel conversations from start to finish. They personalize outreach, respond to questions, offer products, and even process payments or upgrades- all autonomously.

Your Next Growth Move Starts with Agentic AI

Most people still believe that running campaigns means building long workflows, setting fixed rules, and updating them often. What most do not realise is that this entire way of doing marketing quietly holds back growth. It keeps teams stuck in a cycle of doing more work without seeing better results.

This is exactly where agentic marketing changes everything. When AI agents start running the show, your marketing starts thinking on its own. It becomes smarter, faster, and way more personal. These agentic marketing recipes are proven agentic marketing strategies that work in the real world.

Questera is an agentic marketing platform built for this new way of working. Whether you are scaling fast or looking for smart agentic marketing recipes for startups, Questera powers fully autonomous agentic marketing campaigns. This is how brands stop guessing and start growing with smarter marketing recipe examples and tested marketing experiment recipes.

FAQs

What is agentic marketing?

Agentic marketing is a smarter way of doing marketing where AI agents think, decide, and act on their own. Instead of running static campaigns with fixed rules, agentic AI powers fully autonomous agentic marketing campaigns that adapt in real time based on customer behavior.

How are agentic marketing recipes different from normal campaigns?

Traditional campaigns depend on rules, schedules, and manual updates. Agentic marketing recipes are powered by AI agents that learn from data and change strategies automatically. These recipes let marketing run on autopilot while getting smarter over time.

Are these agentic marketing strategies useful for startups?

Yes. These agentic marketing recipes for startups help smaller teams do more without needing huge resources. Startups can use these recipes to automate customer journeys, improve conversions, and grow faster without manual effort.

Can agentic marketing replace manual marketing tasks?

Absolutely. With agentic marketing, AI agents take over repetitive tasks like segmentation, retargeting, onboarding, and churn prevention. This means less manual work and more focus on strategy and creativity.

How does Questera help with agentic marketing?

Questera is an agentic marketing platform that lets businesses run fully autonomous agentic marketing campaigns. Its AI agents manage emails, ads, onboarding, retention, and more by using tested agentic marketing recipes and marketing experiment recipes proven to drive results.