Read time 7 minutes
Agents that let you act while others are still analyzing!
Why it matters:
In reading this blog, marketers will learn five practical prompts they can use with Optimove AI to leverage their daily work. They will also learn how these prompts can be used either directly inside Optimove through its conversational Native AI capabilities or from external AI tools connected to Optimove through the Optimove MCP.
Key takeaways:
Most marketers have already experimented with AI for generating subject lines, campaign copies, or creative ideas. But content generation is only one part of what AI can do for marketers.
They should leverage AI to interact with their marketing data, get insights from it, refine strategies, build audiences, and solve business issues using AI as their copilot.
That is where Optimove AI further empowers marketers.
Optimove AI is the only AI suite built for marketers that works on three surfaces: inside Optimove's platform with Native AI, outside the platform through the Optimove MCP, and on top of the platform through Optimove Custom Apps.
This means that marketers can incorporate AI into their workflows in various ways. They can use OptiGenie, Optimove’s native conversational AI integrated into the platform, or use the Optimove MCP to connect the Optimove platform to their preferred AI tool.
In either case, the use cases go far beyond asking AI to write something.
Using the Optimove MCP or Optimove Native AI, Marketers can ask questions such as "What worked last quarter? Which valuable customers are slipping away? Who should receive the next campaign? Which campaigns deserve another look?" And act on them instantly.
That supports the principles of Positionless Marketing, giving marketers Data Power, Creative Power, and Optimization Power, and the ability to act independently.
Here are five prompts every marketer should try using Optimove AI:
Quarterly performance reviews can tell marketers what happened. The more useful question is why it happened.
With Optimove AI, marketers can review journeys and compare their performance. The analysis can go beyond naming a winner by examining individual campaign uplift, test-versus-control results, and whether the observed differences are significant.
Prompt to try:
Review the journeys in my Optimove account from the last quarter. Identify the best-performing journey and explain why it performed best. Include the uplift of the individual campaigns, the test-versus-control split, and whether the results are significant. Finish with the main lessons I should apply to future journeys.
For marketers, this turns performance reporting into something more actionable. Instead of simply knowing which journey won, they can identify the elements worth repeating, testing, or adapting elsewhere in the marketing plan.
Knowing that VIP customers are at risk is useful. Knowing which retention gaps may be contributing to that risk is much more valuable.
Optimove AI can help analyze VIPs at risk of churn and surface patterns within that population. For example, it can identify subsegments that are not being targeted by active campaigns, highlight segments that could benefit from refinement, and suggest actions marketers can take.
Prompt to try:
Analyze the VIP customers in Optimove who are currently at risk of churn. Identify meaningful subsegments, flag any groups that are not being targeted by active campaigns, highlight existing segments that may need refinement, and recommend immediate actions I can take to improve retention.
The result gives marketers a more specific starting point for retention. Instead of treating every at-risk VIP the same way, they can identify where campaign coverage or segmentation may be falling short.
Weekly reporting often requires marketers to pull information from several different views before they can even begin interpreting performance.
AI can help turn that process into a recurring workflow. Using an AI tool connected to Optimove through the MCP, for example, marketers can schedule a Monday morning task that summarizes what happened during the previous week.
Prompt to try:
Every Monday morning, summarize the performance of my marketing program over the previous week. Start with the highest-level KPIs, summarize active campaigns and call out the top performers, analyze lifecycle coverage, and provide a short overview of the operational health of the marketing program. Finish with the most important issues or opportunities I should focus on this week.
The marketer arrives at the weekly meeting with the important information already organized around decisions rather than spending the beginning of the week assembling the report itself.
Audience building becomes much more useful when marketers can combine a business objective with actual customer behavior.
Consider a retailer preparing a campaign for a new jeans collection but wanting to reach only customers who have previously purchased from the category. Optimove AI can examine purchase behavior, product affinity, and engagement signals to help create an initial target group for the marketer to review and refine.
Prompt to try:
Build an audience for a campaign announcing a new jeans collection. Only include customers who have previously purchased from the category. Use purchase behavior, product affinity, and engagement signals to define the audience. If you need additional criteria, such as lifecycle stage or the purchase lookback window, ask me before completing the audience. Prepare the resulting target group for me to review and refine in Optimove.
That last instruction matters. AI does not need to guess when important campaign criteria are missing. It can ask the marketer for the additional context needed to move forward.
This is also an example of Positionless Marketing in practice: marketers have the ability to act instantly and independently, using AI to access capabilities that would otherwise require moving between analytical, segmentation, and execution tasks.
Launching campaigns receives plenty of attention. Stopping them often receives much less.
Campaign portfolios accumulate over time, and an active campaign should not automatically remain active simply because it already exists. Marketers need a consistent way to identify campaigns that are no longer producing enough value.
This can also become a recurring AI workflow. Every Friday, an AI tool connected to Optimove through the MCP can review active campaigns, examine response rates and uplift, and flag campaigns that may no longer be earning their place.
Prompt to try:
Review all of my active campaigns every Friday morning. Analyze their response rates and uplift, identify campaigns that are underperforming or no longer earning their place in the marketing plan, and explain why each one has been flagged. Finish with a recommendation to keep, review, optimize, or stop each flagged campaign.
The purpose is not to let AI indiscriminately shut campaigns down. It is to give marketers a consistent evidence base for deciding where budget, attention, and campaign inventory should continue to be invested.
Optimove AI allows marketers to get more from AI than just creative assets. They can go from analyzing journeys and identifying churn risk to building audiences, reviewing weekly performance, and evaluating active campaigns.
The five prompts in this post are starting points for using AI as a marketing copilot rather than simply a content-generation tool. Whether marketers work through OptiGenie inside Optimove or connect their preferred AI tool through the Optimove MCP, they can use conversational AI to turn marketing data into insights and actions more quickly and independently.
For more insights, contact us to Request a Demo.
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Writers in the Optimove Team include marketing, R&D, product, data science, customer success, and technology experts who were instrumental in the creation of Positionless Marketing, a movement enabling marketers to do anything, and be everything.
Optimove’s leaders’ diverse expertise and real-world experience provide expert commentary and insight into proven and leading-edge marketing practices and trends.
