GrowthLoop

Incredibly proud and honored to earn these Fall 2025 badges from G2. ?? The ROI badge is especially meaningful — it reflects the real value we deliver, from fast go-live to measurable impact. We can't wait to see what our team does next! ?? #G2 #CX #composableCDP

My organization doesn't have a data strategy...so what? Alex Sotis shares some of the consequences to consider. ?? #DataStrategy #UnifiedData #DataCloud

Marketing technology is on the verge of its ChatGPT moment. #AI has transformed everything from baseball, aviation, self-driving cars, manufacturing, customer service, and now marketing is poised for its own transformation. How? Courageous practitioners bucked the status quo by applying radically improved task-specific algorithms to vast and accurate data. The three key ingredients to every AI-powered transformation are now in place – data, algorithms, and courage. ?? Data explosion — The rise of the #DataCloud has made vast amounts of accurate customer marketing, and transaction data more accessible than ever before, with data growing over 50% every year. This leap in data availability is fueling composable marketing systems that adapt to real-time insights to predict and enable personalized experiences at scale. ?? Advanced algorithms — We’re seeing a step function in task-specific algorithms across the entire marketing lifecycle — from identity resolution and audience segmentation to cross-channel orchestration and campaign evaluation. This is driving real-world outcomes in how we target, engage, and convert customers, ultimately boosting loyalty and customer lifetime value. ?? Courageous leadership — Perhaps most important of all, we’re seeing #marketing leaders step up with the courage to embrace this transformation. They’re proving that AI-driven approaches are efficient *and* effective, helping brands make smarter decisions and drive meaningful results. The data, algorithms, and courage are here — now it’s up to us to embrace the moment and revolutionize how we connect with customers. What are the biggest challenges you’re solving with AI-powered marketing tools?

We're thrilled to be at the forefront of innovation, leveraging the power of the Google Cloud AI Agent Ecosystem Program to transform businesses with pioneering #generativeAI solutions. This collaboration with #GoogleCloud allows us to leverage their cutting-edge AI technologies, including Vertex AI and Gemini models, to amplify the impact of our solutions. This includes tools that empower #marketers to: ? Automate audience building ? Suggest optimal targeting strategies ? Create custom attributes for better BigQuery data insights With the launch of #AI Agent Space on Google Cloud Marketplace, it's now easier than ever for businesses to discover and deploy partner-built AI agents that drive personalization, operational efficiency, and transformative business outcomes. ?? Check out the full blog post from Google Cloud and explore how AI agents are shaping the future of business innovation: https://lnkd.in/g4eWihpy Google Cloud Partners #GoogleAIpartner

Spoiler alert: Until you unify and democratize your data, silos will *always* hold you back from customer satisfaction, loyalty, and revenue. Enterprises that go from siloed to unified data invest time and money in data transformation because they know that a stronger, more strategic business is on the other side. So where do you begin? For a start… 1?? Get executive buy-in for data transformation. Speak the language of the C-suite by communicating how unified data will impact the bottom line. 2?? Shift company culture. Connect your data efforts to the big-picture company mission *and* help teams understand how democratized data will make their day-to-day work life better. 3?? Create a single source of truth. If your data isn’t in a cloud data warehouse, you’re missing your best solution for a secure, real-time universal data layer. 4?? Take stock of your data types and sources. Review the data you currently have against any data types you can’t currently activate (like unstructured data), and make a wishlist to work toward leveraging all customer data. …And that’s just the tip of the iceberg. Want a deeper dive into unifying your data? ?? To help you take action, we put together a data transformation starter kit with best practices and tangible steps to help you make a game plan. Learn how silos are impacting your organization, build a foundation for transformation, and begin to democratize your data. Get your starter kit at the ?? in the comments! #DataCloud #CustomerData #DataStrategy

Navigating the AI landscape can feel like stepping into a bike shop — exciting, but overwhelming. Every tool glistens with promise, claiming to transform how you ride...or, in this case, how you do business. But, just like picking the right bike, selecting the right AI isn’t about getting swept up in a flashy demo or test ride. It’s about finding what will bring real results for you and your business. ??♂? In my first Forbes Technology Council article, I cover four tips to cut through the AI noise and find solutions that actually deliver. Here’s a quick preview, with a ?? below to the full article. 1. Efficiency isn’t enough Sure, AI tools love to boast about saving time. But efficiency alone doesn’t win the race. Look for AI that directly impacts critical business outcomes — revenue, customer satisfaction, and brand visibility. Don’t be swayed by tools that look like that fancy bike trainer collecting dust in your garage. It’s not about the “wow,” it’s about the *how.* 2. Real-world stories > demos Seek out real stories from people who’ve implemented this AI tech. What challenges did they overcome? How does the tool handle privacy and data security? And most importantly, does it deliver consistent results or just look good under the showroom lights? 3. AI and human expertise should work together AI isn’t about replacing the human touch — it’s about enhancing it. The best tools provide transparency and empower your team’s creativity. If the AI can’t explain how it got from A to B or why it made a decision, it’s not a partner. It’s a black box. 4. Read through the jargon Beware the buzzword parade. “Paradigm-shifting,” “synergistic” — we’ve heard them all. Great tech doesn’t hide behind complex terms. Look for tools that offer plain-language explanations of how they work and what they’ll do for your business. If you’re left scratching your head, keep moving. Choosing the right AI takes time, effort, and a willingness to dig deeper. But when you find that perfect fit, your business will reach new heights. And just like in cycling, the view is worth the climb. ?? ??https://lnkd.in/gpgQPXeb #TechLeadership #AI

What’s at the top of your wishlist when choosing a customer data platform or #martech solution? ?? We recently dove into our G2 reviews, and here's what we found: Our customers love GrowthLoop for our ease of use, stellar customer support, integrations, efficient audience segmentation, time savings, and our data access, organization, and governance. We’re definitely feeling the love from our amazing customers ??, but we want to hear from you — which of these benefits matter most to your team? Tell us what you think: Cast your vote below!?? And since LinkedIn only allows four responses in these polls, feel free to leave your top feature in the comments. ??

This year's engineering offsite included plenty of fun: BBQ, go kart racing, piano bars, and rubber ducks (IYKYK). It was one for the books. ?? ?? ?? But the real highlight? The deep-dive sessions. We rolled up our sleeves for hands-on whiteboarding, lively Q&As, and some inspiring product vision workshops. We left #Austin buzzing with new ideas and big plans for 2025. This team's momentum is just getting started. ??

Incredibly proud and honored to earn these Fall 2025 badges from G2. ?? The ROI badge is especially meaningful — it reflects the real value we deliver, from fast go-live to measurable impact. We can't wait to see what our team does next! ?? #G2 #CX #composableCDP

Is marketing the fastest-changing field out there? Scott Brinker thinks it might be… and we don’t disagree. From the era of “big data” to the current #genAI boom, each wave of tech innovation over the last several decades has raised the bar on marketers’ job descriptions *and* customer expectations. Marketers have adapted to the constant change by deepening their expertise in every new tactic and channel. But this approach won’t be enough for what’s coming next. Here’s how Scott summed it up at GrowthLoop Live: “The next wave of innovation is less about expertise in any one particular channel or touchpoint. It’s about the craft of orchestrating these things together.” Whether customers are interacting with your #marketing, making a purchase, or reaching out for support, they now expect cohesive and connected experiences. To deliver those, you have to be able to collect and activate data across each channel your brand uses. Marketers need to adapt once again. But with the help of a universal data layer and new capabilities like AI-surfaced insights, they can meet sky-high customer expectations on any channel. *** Want to hear more AI insights from Scott and other #martech leaders? Don't miss out on the Martech for 2025 event on December 3. We're excited to join the conversation as one of this year's sponsors! Reg ?? in comments.