Key Takeaways:
- See How AI Agents Can Develop a Product Campaign Faster Than a Manual Workflow
- Learn How Agentic Engine's Analytics, Engagement, and A/B Testing Agents Work Together to Create Autonomous Campaign Operations
Here's a scenario: You launch a new feature, but adoption rates aren't rising as your team projected they would. So what do you do? Launch a feature adoption campaign, of course. While launching a targeted campaign is a trusted arrow in any app developer's arsenal, it's a time-intensive process in an environment that requires action in days, not weeks, or even months. Which is where Agentic Engine's AI agents can help.
A typical campaign strategy usually involves the following steps: Identify your goal, target your audience, design your campaign strategy and user flow, build out your tooling, choose a control group, launch the test, and analyze the results. All-in-all, this process can take anywhere from three weeks to three months.
And that's not accounting for the coordination tax that comes from different stake holders trying to get their preferred test launched. All the while, the delay in launching and analyzing your feature adoption campaign is leading to loss in revenue and churn. It's a common problem for anyone running a live app.
In the past, ThinkingAI provided smarter dashboards that gave analytics teams the metrics they needed to make the right decisions when it came to designing something like a feature adoption campaign. But as the amount of data grows and methodologies become more complex, having the right tools doesn't cut it anymore. ThinkingAI spent the last 10 years creating the foundations for our AI agents to analyze, create, and launch effective feature adoption campaigns, revenue growth campaigns, and user retention campaigns.
How Agentic AI Can Shorten Your Campaign Development Timeline
Let's revisit the scenario from the beginning of this blog. You launch a new feature, but adoption rates aren't rising as your team projected it would.
Instead of the old way of developing a feature adoption campaign, you let AI agents handle the campaign strategy. Already, even before looking at a dashboard, one of Agentic Engine's AI agents has alerted your team to the irregularities around your new feature.
You prompt Agentic Engine's Analytics Agent to investigate. It comes back with a report and it's already analyzing the product usage data to identify audience segments, past campaigns for most effective approach, and by the time you have your first morning meeting, Agentic Engine has shared a campaign brief and execution strategy for you to review. A process that used to take two to three week can be finished in a day, no need to pull data manually.
And when it comes to actually building this campaign, Agentic Engine's specialized AI agents can have huge near-term impact.
Meet the AI Agents Behind Agentic Engine's Campaign Automation
With 10 years of live service experience, we've helped some of the world's largest app makers refine their methodologies, and we've taken these best practices and turned them into the playbooks our expert AI agents run off of. Agentic Engine's AI agents can then work together to craft the best campaign for your business. Here's how it works.
Analytics Agent: This is your AI data analyst. It tracks your key metrics in real-time and will alert you to any anomalies it might find in the data. With automatic root cause analysis, it can drill down to find the precise cause for your app's issue.
Engagement Agent: Automatically identifes target user groups, generates bespoke copy that will be used in push notifications or emails, and can deliver optimizes messages across different channels at the right time.
A/B Test Agent: Generates automated A/B testing plans and sample size calculations, and launch your A/B test either autonomously or with a single click depending on your permission level. Then, once the test is launched, monitors results in real-time to track results.
These agents form the backbone of Agentic Engine's autonomous operations loop. Analyze your data, create a campaign, launch your experiment, and roll out the full update once the results are in.
How AI Agents Scale Your Campaign Operations Beyond Human Limits
The above is an example of how your campaign creation workflow changes with AI Agents, but there are key factors to consider beyond just design workflows. With AI campaign automation, your enterprise can scale campaigns beyond what is manageable by your current team. While your team might run a dozen tests at a time, an AI agent is able to run more than double of these campaigns simultaneously, targeting different narrow segments for a wider range of results.
With enough information, your AI agents can continuously monitor and launch interventions when an anomaly arises, changing campaign-first thinking into a constant iteration.
And last, for your team, this means your employees spend less time designing campaigns, and more time strategizing on the creative decisions still required to scale your app.
Ready to Automate Your Campaign Workflow? Book a Demo Today
Now that you've seen an example of how Agentic Engine's AI agents can design your campaign, see it in action by booking a demo with one of our specialists who can show how your enterprise's specific campaign needs can be improved by Agentic Engine.
