There’s no shortage of hype around AI and growth marketing. But while the headlines focus on flashy predictions, a quieter shift is happening in how performance teams are using AI to get answers, make decisions and act on opportunities.
AI is changing the tools marketers use as well as how they do their work. But that evolution doesn’t require a total rebuild of your current systems; in fact, the most effective growth teams are the ones embedding AI into their existing workflows.
But how? Here are five best practices for how AI can help you to drive further growth starting today.
1. Start with the questions you’re already asking
While you might think that the fastest path to value is a new AI dashboard or generative campaign planner, you can actually get results faster by using AI to shortcut the questions your team already asks every day.
What creative is performing best in Southeast Asia? Where did ROAS drop this week? How should we reallocate spend based on last month’s LTVs? In the past, answering questions like these took hours of scraping spreadsheets, building reports and waiting on BI.
Now, with the right interface, AI allows marketers to ask those questions in natural language and get instant, contextual responses, often complete with references, caveats and recommendations for next steps. Doing so turns data from something you pull to something you can interact with, accelerating insights without skipping the rigor.
2. Make your data more decision-ready
Unfortunately, performance data alone simply isn’t enough. To deliver relevant, actionable insights, you need to connect the dots with attribution data, in-app events, BI-modeled pLTVs, campaign notes, even product release schedules.
When those pieces are integrated into a generative model, you can surface signals that you might have otherwise missed, including how a creative tweak impacted retention in a niche region, or how a subtle drop in conversions correlates with a recent app update.
Context is what turns an AI assistant into an AI partner: while the former merely answers what you ask, the latter understands why you’re asking in the first place.
3. Prioritize speed over polish
While perfect data pipelines and custom dashboards sound great in theory, the biggest gains often come from getting imperfect-but-usable insights faster.
In practice, that means using AI to generate rough drafts of reports, summarize trends across campaigns or identify anomalies without needing to predefine every parameter. It also means accepting that the first result might be 80% there — and that’s often good enough to act.
With AI, teams don’t have to wait until a system is flawless before putting it to use. That’s because AI improves with feedback and usage, every query helps the model learn, and every saved hour compounds.
4. Move from reactive to proactive
Traditionally, performance teams spend most of their time looking backward, analyzing last week’s results to plan this week’s changes. AI makes it possible to reverse that equation.
Instead of waiting for problems to show up in your metrics, AI can flag a sudden drop in iOS subs in one market, a surge in organic uplift tied to a paid channel, or signs of creative fatigue before engagement tanks, all in real time.
This kind of monitoring saves time, of course, but it also helps you to stay ahead of market shifts by catching revenue-impacting issues before they cost you.
5. Automate the repeatable, not the strategic
For all its benefits, marketers shouldn’t lean on AI as a replacement for their judgment. Still, when used smartly, these technologies can remove the friction between analysis and action.
Smart use starts with automating the workflows that follow known patterns, such as generating weekly summaries, forecasting campaign payback and monitoring pacing or creative wear-out. The more predictable the task, the better AI can own it end-to-end.
Strategy, creative direction, brand voice and channel mix — those messy, context-rich decisions that require experience — all still need the human touch. Rather than handing over the wheel, though, AI allows you to stop wasting your time checking the dashboard.
Final thoughts: Deliver growth with AI-driven operations
The strongest gains from AI are happening behind the scenes, where the most effective teams are using it to streamline daily operations, speed up analysis and make smarter decisions with less effort.
Results like these demonstrate that when AI becomes part of the workflow, even small time savings create a meaningful edge. But teams don’t need to overhaul their entire strategy to see results. The key is building AI into the work they’re already doing so that every brief, report and decision becomes faster and sharper.
When AI is woven into daily workflows, the payoff is steady, measurable and hard to ignore.
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Lou Hong , VP of Marketing at Adjust
Lou Hong is the VP of Marketing at Adjust, a measurement and analytics company that helps marketers measure, optimize and scale app growth across platforms.
