We’ve all heard it: AI is changing marketing.
But this is different from other technological changes in our industry’s past — like the shift to radio, TV, the internet, or mobile.
Those were changes to how people consume marketing. This is a transformation in how we create marketing.
It’s the supply side.
At GrowthLoop, we’re proud to be leading this transformation using agentic AI powered by first-party data, so CMOs can drive more growth, faster.
We call it compound marketing. And it’s why we’re launching a new category of enterprise SaaS: the Compound Marketing Engine.
Ask any financial adviser: compound growth is the eighth wonder of the world. And, if you’re talking about a savings account, there’s a big difference between interest that compounds 1% annually and 1% daily.
The same concept is true in marketing. The faster the iterations, the faster the growth. A Compound Marketing Engine enables that iteration speed. Let’s look at why it works.
The problem: Marketing iteration is slow
The classic marketing cycle is slow and deliberate. It involves manual data pulls, manual audience building, manual journey building (if any), manual campaign management, and manual results analysis. Months later, you pull together disjointed data from multiple systems to look at your results, search for insights, and try to make adjustments. But too often, the window of opportunity has already passed.
Slow iteration means slow growth. How many times have you waited for a data request, ad trafficking, or a performance report?
All the time needed to execute these steps increases the time it takes to iterate on marketing. Improvements happen monthly, quarterly, or between campaigns.
Marketing platforms and CDPs were supposed to solve this, but they didn’t. They claim to unite customer data, but in practice, they add another data silo. New problems replaced old problems: mapping the data, security challenges, synchronization issues, and so on. Many CDP projects never delivered the results they promised, yet they remain active — consuming budget without delivering results.
The solution: a Compound Marketing Engine
GrowthLoop has a better way. We speed up the marketing cycle using agentic AI and your first-party data to create rapidly compound growth. You don’t update quarterly or monthly; you iterate and improve weekly or daily.
We call this the Compound Marketing Engine.
The Compound Marketing Engine starts with your existing enterprise data cloud — Google BigQuery, Snowflake, Databricks, Amazon Redshift, etc. The platform has direct and secure access to customer, business, and marketing data in your cloud — no separate systems needed. You’re always working with the most accurate and relevant data, because it’s pulled from your single source of truth, not a copy.
GrowthLoop's agentic AI uses an organization's first-party data to:
- Propose audiences, customer journeys, and channels for campaigns.
- Execute those campaigns under marketing's direction.
- Learn from the performance data and continuously improve.
As part of this launch, GrowthLoop is unveiling an unrivaled set of new capabilities that power its Compound Marketing Engine, including:
- Universal Journeys, giving marketers the ability to orchestrate and activate their entire marketing stack from a single canvas for the first time, infusing intelligence into every connected martech tool to increase its impact. Now marketers can build and activate omni-channel campaigns without ever leaving the Compound Marketing Engine, unlocking seamless iteration that fuels compounding growth.
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- AI Studio, a command center where marketers mobilize AI agents to organize and activate data, build audiences, construct journeys, analyze campaign data, and generate new campaign ideas. Agents also collaborate within AI Studio—proactively surfacing new audiences, journey optimizations, and campaign improvements for marketers to review and approve.
GrowthLoop’s new Growth Agents are a team of AI-powered collaborators that work together, learn from your data, and suggest next-best actions that help marketers launch, optimize, and scale high-performing campaigns with ease.
- Data Agent learns and understands the data in your cloud to provide user-friendly field descriptions while assessing what data would be most useful for each audience.
- Audience Agent creates precise audience segments for your campaigns based on campaign history, traits, and attributes, and suggests additions to the segment as insights arrive.
- Journey Agent builds personalized omnichannel journeys, choosing the optimal channels and timing based on historical performance data, and provides optimization options based on performance.
- Insights Agent references historical and real-time performance data and helps other agents provide actionable recommendations for rapid improvement.
- Research Agent acts as your personal brainstorming partner who searches the internet to retrieve contextual answers about campaign decisions.
- Supervisor agent oversees all other agents, making real-time assessments of when it's time to activate one or multiple agents to perform growth-driving actions for you.
Our agentic AI learns from this data and reasons on your behalf. Because it’s working from the best data, agents can predict the best audiences for your goals, the best journeys for those audiences, and the best channels for those journeys.
Then, GrowthLoop’s agentic AI reasons and executes your campaigns across all platforms — like Meta, Google Ads, Braze, and so on. We connect directly to these channels, so we can take a holistic approach that works better for your business.
Finally, once your campaigns start running, performance data feeds back into your data cloud, further informing the AI’s audience and journey recommendations.
It’s important to note that you’re in control at every stage of the compound marketing cycle — you set the goals and approve or edit what AI suggests. We believe AI isn’t here to replace marketers, but instead to give marketers new superpowers that elevate their work and drive faster results.
Compound Marketing Engine use case
Here’s an example of how you can use the GrowthLoop Compound Marketing Engine:
- Start in AI Studio. This is your command center, where you’ll harness the agentic power of the Compound Marketing Engine.
- First, you set the goal: For instance, you want to drive repeat purchases among high-spending customers.
- Audience Agent gets to work building your best audiences based on this criteria, like an audience that has spent more than $100 in the last month and has browsed your website multiple times in the last week.
- Journey Agent suggests a customer journey, perhaps one that focuses primarily on Meta ads — the channel that has driven more purchases for this audience — and follows up with emails to reinforce the message.
- You approve or edit the suggestions and make any tweaks you see fit.
- The campaign is seamlessly activated and orchestrated across channels right from within GrowthLoop. As the campaign progresses, the platform re-ingests performance data back into your data cloud and Insights Agent interprets the results and informs Audience and Journey Agents, so they can suggest improvements to your audiences and journeys.
And, just like that, the marketing cycle begins again.
The result: rapid compound growth
GrowthLoop decreases marketing cycle time, from quarters or months, to weeks or even days. In fact, marketing teams often see 3-5x improvements in speed. The impact of faster growth compounds dramatically: in many cases, 20-30% more revenue. Not to mention 20-30% lower costs from more efficient processes.
No wonder innovative brands like Google, Indeed, and Priceline rely on GrowthLoop and compound marketing to accelerate their growth. At Indeed, the marketing team used GrowthLoop to boost marketing velocity by 8X and increase revenues by 20%.
At Allegro, one of Europe's largest e-commerce companies, an AI-powered retail media solution powered by GrowthLoop delivered exceptional performance improvements across multiple channels:
- 2X increase in ROAS for its advertising campaigns.
- Over 60% increase in gross merchandise value (GMV) on DV360, Meta, TikTok, and YouTube.
- Nearly 4X improvement in click-through rate on Meta and 70% decrease in cost-per-click.
Express had been using Adobe Marketing Cloud, but found it costly and clumsy: the marketing team couldn’t even create personalized campaigns. Express already used Google BigQuery, so GrowthLoop’s Compound Marketing Engine was fast and easy for them to add. Result: Faster marketing cycles, no more siloed data, and real compound growth.
These kinds of results are why G2 consistently names GrowthLoop an enterprise leader. GrowthLoop works with all enterprise data clouds, including Google Cloud, Snowflake, Databricks, and Amazon Redshift.
Look to the future with compound marketing
The marketing industry is moving toward using AI throughout the marketing cycle to drive both efficiency and growth.
As you make technology decisions today, consider how the tech will influence not just your speed of production, but also your speed of iteration and growth. Ultimately, that will influence your organization’s success.
To be specific, be sure to adopt a Compound Marketing Engine that will:
- Work on your data cloud – providing full and secure access to your data for the most relevant and impactful AI results.
- Operate across all platforms and channels – so it can manage and optimize all your audiences, journeys, campaigns, and results.
- Run agentic AI – so it can reason and take action on your behalf, with your approval.
If you’re ready to capitalize on this supply-side AI transformation (and make full use of that eighth wonder of the world), you can pull away from your competitors with the power of compound marketing.
Ready to see the first-ever Compound Marketing Engine in action? Register to join us on May 14 at 1pm ET