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One Month Until Black Friday: How to Use Optimove AI Agents to Build Your Last-Mile Strategy

A four-week agentic plan to sharpen decisions, creative, and personalization before Black Friday

Read time 8 minutes

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Agents that let you act while others are still analyzing!

Why it matters:

By reading this blog, marketers will learn how to use the final month before Black Friday to put Optimove AI Agents to work around a shared objective and clear business guardrails. 

Rather than simply finishing a campaign calendar, marketers can use Insights, Creative, and Decisioning Agents together to identify opportunities, build and test different experiences, learn before peak demand, and continuously adapt as customer behavior changes.

Key takeaways:

  • The final month before Black Friday should be used to learn and optimize, not simply finish campaign production
  • With Optimove AI, marketers set the objectives and guardrails, while Insights, Creative, and Decisioning Agents work together to execute and improve the strategy
  • Build multiple audiences, journeys, offers, creative variations, and timing options instead of relying on one fixed Black Friday campaign
  • Start learning before Black Friday so agents can use experiments, customer behavior, and campaign performance to improve decisions ahead of peak demand
  • As customer intent changes, the agentic workflow continues to observe, understand, create, decide, and learn in real time

Black Friday is one month away. 

Promotions are being finalized. Campaign calendars exist. Creative production is underway. Budgets have been allocated. But the final month should not simply be about executing what was decided weeks earlier. 

It should be about making the marketing system smarter before customer activity accelerates. 

In Black Friday 2026, while part of customers say they will return to the same brands as last year, new customer activity tends to increase (it grew 593% on Black Friday 2025), while 47% of consumers surveyed for the 2026 holiday season said they plan to explore new brands. (Optimove's 2026 Black Friday and Cyber Monday Report) 

That leaves marketers with two battles to fight simultaneously: win back the customers who already know the brand and become relevant to the customers discovering you for the first time. 

The final month is when AI agents can help prepare for both with agility and assertiveness. 

Black Friday: Let Real-Time Behavior Change the Plan 

Instead of making every customer follow a journey designed weeks earlier, marketers can respond to what the customer is actually doing now. 

Purchase history matters. But the current intent matters too. And for new customers, marketers need to move rapidly from “we don't know you” to “we understand what you appear to need.” 

Optimove Ranked 1st for Real-Time Personalization and Decisioning by Gartner 

Real-time behavioral signals, predictive models, customer history, campaign eligibility, and AI Decisioning can help determine what happens next, while Insights Agents can continue surfacing emerging opportunities or problems and Creative Agents can help marketers respond when new creative needs appear. 

The strategy becomes a loop: Observe. Understand. Create. Decide. Learn. Repeat. 

What Should Marketers Do One Month Before Black Friday? 

One month before Black Friday, marketers should replace static campaign calendars with an adaptive decision-making system powered by AI agents. 

With them, marketers define the objective, KPIs, business rules, margin requirements, promotional limits, branding rules, and customer experience they want to deliver. 

The AI agents will then help with the thousands of smaller decisions required to execute that strategy across thousands of customer interactions. 

Especially during events like Black Friday, when customer intent can shift rapidly, this is fundamental. An inactive customer might suddenly return. A loyal customer might start browsing an unfamiliar product category. A first-time visitor might arrive after asking an AI assistant for a recommendation. AI agents will identify their intentions and preferences and act on them. 

The marketer defines what the business wants to accomplish. The agents help determine what should happen next for each customer context, at scale. 

How Do Optimove AI Agents Work Together? 

Optimove AI agents work together as a continuous loop. Insights Agents identify opportunities and risks, Creative Agents build the content and experiences to act on them, and Decisioning Agents determine which customer receives which experience, and when.  

What each agent learns feeds into the next decision, and OptiGenie, Optimove’s native conversational agent, lets marketers direct the whole process with simple prompts. 

Every Optimove AI agent is part of Optimove Native AI, the pillar of the Optimove AI suite that runs directly inside the platform. 

Optimove AI is the only marketing AI suite that covers all three places marketers work. It works inside the platform through Native AI, outside it through the Optimove MCP, and on top of it through Optimove Custom Apps. 

Optimove organizes specialized agents to support the three powers of Positionless Marketing: Data Power, Creative Power, and Optimization Power. 

  • Insights Agents provide Data Power. They help identify what deserves attention by surfacing risks, opportunities, anomalies, customer changes, and campaign performance patterns, such as high-value customers moving into lower lifecycle stages, declining campaign performance, or customer segments that have not been targeted recently. Content Intelligence adds another layer by identifying which content attributes perform best with different customer groups. 
  • Creative Agents provide Creative Power. They help marketers create and adapt campaign assets faster. Optimove's Creative Agents are designed to support activities such as creating branded interactive experiences and, as additional capabilities roll out, assisting with campaign content and template creation. 
  • Decisioning Agents provide Optimization Power. Audience Decisioning helps determine who should be targeted. Journey Decisioning helps determine which campaign should happen next. Offer Decisioning determines which treatment to serve. Content Decisioning optimizes content variations and Send-Time Decisioning determines when a customer should receive the message. 

OptiGenie ties all of these capabilities together. It is Optimove’s  native conversational agent, built into the platform. With simple prompts, marketers can investigate data, build assets, and run workflows, while the specialized agents take care of the work behind the scenes. 

A Four-Step Last-Mile Strategy With Optimove AI Agents 

The agents should not be treated as separate tools used one after another. Insights, Creative, and Decisioning Agents work in synchrony, continuously feeding what they learn into what the marketing operation does next. 

1. Set the objective and put the agents to work 

  • Define what success looks like for Black Friday: maximize incremental revenue, reactivate dormant customers, acquire new customers, protect margin, increase conversion, or balance several objectives. 
  • Establish the business rules, promotional limits, eligible campaigns, customer policies, control groups, and brand guardrails the agents should operate within. 

Insights Agents can immediately surface where the biggest opportunities or risks exist: customers becoming less active, segments showing purchase intent, declining campaign performance, or content attributes that have worked particularly well. 

Those insights give Creative and Decisioning Agents the context they need to begin working toward the same objective. 

2. Build options, not one fixed campaign 

Use what the Insights Agents uncover to give the system multiple relevant ways to respond. 

Creative Agents can help develop different content, messaging, interactive experiences, and campaign variations. At the same time, Audience, Journey, Offer, Content, and Send-Time Decisioning Agents can determine which customers should receive which experiences and under what circumstances. 

Instead of one universal Black Friday campaign, the system has multiple audiences, journeys, treatments, creative variations, and timing options to work with. 

3. Let the agents learn before Black Friday 

The time is now to discover what works. 

Decisioning Agents can start testing audiences, treatments, content, journeys, and timing ahead of peak demand. Offer Decisioning, for example, can use competing actions and control groups to learn which treatments create incremental impact for different customer groups. 

Insights Agents can continuously surface what is changing, while Creative Agents can help marketers respond with new variations when opportunities emerge. 

The objective is to enter Black Friday with a system that has already been learning, rather than a campaign that has only just been activated. 

4. Keep optimizing as customer behavior changes 

As Black Friday approaches, the same loop continues. 

Insights Agents identify new signals and opportunities. Creative Agents help produce or adapt experiences. Decisioning Agents determine the best audience, journey, offer, content, and timing for each customer context. 

The marketer remains responsible for the strategy and guardrails, to keep things being approved, while the agents continuously optimize the decisions happening underneath them. 

That is what turns the final month from a campaign countdown into AI-orchestrated personalization at scale, with the marketer being the maestro. 

In Summary 

The final month before Black Friday should not be spent simply completing a predetermined campaign calendar. It is an opportunity to put an adaptive marketing system to work before customer activity peaks. 

Marketers set the business objectives, strategy, and guardrails. From there, Insights, Creative, and Decisioning Agents work together: surfacing opportunities, developing experiences, testing alternatives, optimizing decisions, and learning from customer behavior. 

By starting this process before Black Friday, marketers enter peak demand with agents that are already learning and can continue adapting as customer intent changes in real time. 

The result is AI-orchestrated personalization at scale, with the marketer acting as the maestro and the agents continuously helping determine the best next action for each customer context. 

For more insights into how Optimove AI can help marketers prepare for Black Friday and Cyber Monday, contact us to Request a Demo.

Agents that let you act while others are still analyzing!

Rony Vexelman

Rony Vexelman is Optimove’s SVP of Marketing. Rony leads Optimove’s marketing strategy across regions and industries. 

Previously, Rony was Optimove's Director of Product Marketing leading product releases, customer marketing efforts and analyst relations. Rony holds a BA in Business Administration and Sociology from Tel Aviv University and an MBA from UCLA Anderson School of Management.

FREQUENTLY ASKED QUESTIONS 

 

Optimove's Insights, Creative, and Decisioning Agents work together around the marketer's objectives. Insights Agents identify opportunities and changes in customer behavior, Creative Agents help develop relevant experiences, and Decisioning Agents optimize audiences, journeys, offers, content, and timing. What each group learns can continuously inform what the others do next. 

 

They are specialized agents, but they are designed to work together. Insights can identify an opportunity, Creative Agents can help build experiences around it, and Decisioning Agents can determine how those experiences should be delivered and optimized. As results come in, new insights can trigger another cycle of creation and decisioning. 

 

Starting early gives the system time to learn. Marketers can test different treatments, content, audiences, journeys, and timing ahead of peak demand, while Insights Agents identify changes and Creative Agents generate new options. By Black Friday, the strategy is informed by actual customer responses rather than assumptions alone. 

 

Yes. As customer behavior and intent change, Insights Agents can surface new signals, Creative Agents can help marketers respond with relevant experiences, and Decisioning Agents can continuously optimize what happens next for each customer context. 

 

The marketer remains responsible for the objective, strategy, business rules, brand guardrails, and approvals. The agents handle many of the underlying tasks and decisions at scale. In this model, the marketer acts as the maestro of AI agents, directing the strategy while specialized agents execute and optimize within it. 

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