BrandOps is an AI-powered brand marketing analytics platform that helps you find which messages resonate and drive revenue.
The platform uses AI to track and enhance the health of your brand by analyzing how your brand resonates with your audience. That includes monitoring brand visibility, engagement, and reputation across multiple channels and touchpoints.
We spoke with Ellie Schneider, Brand Growth Leader at BrandOps, to learn more about this AI-powered marketing solution.
In a single sentence or statement, describe BrandOps.
BrandOps is an innovative brand marketing analytics platform that utilizes advanced digital signal processing to empower brands with actionable insights for strategic decision-making.
How does BrandOps use artificial intelligence in its products?
The strength of BrandOps' AI lies in harvesting and interpreting the wealth of data that others neglect, using advanced machine learning to uncover correlative insights and natural language processing to gauge sentiment with an accuracy that provides our clients with a comprehensive competitive advantage.
What are the primary marketing use cases for your AI-powered solutions?
Our AI solutions at BrandOps are specifically designed to serve as the backbone for a variety of critical marketing functions. They provide a robust framework for meticulously tracking and enhancing the overall health of a brand by analyzing key performance indicators that reflect a brand's vitality and resonance with its audience. This includes monitoring brand visibility, engagement, and reputation across multiple channels and touchpoints.
What makes your AI-powered solution smarter than traditional approaches and products?
BrandOps stands out by leveraging data that many don't even consider, let alone collect. Our AI-powered analytics breathe life into this data, transforming it into a strategic roadmap that guides marketers towards more informed, context-rich decisions, ultimately saving time and boosting the effectiveness of their marketing efforts.
Are there any minimum requirements for marketers to get value out of your AI-powered technology? (e.g. data, list size, etc.)
Our AI technology is designed to work seamlessly with the digital assets you already have in place. A content-rich website and regular activity on social media platforms serve as ideal starting points, allowing our AI to effectively process and analyze the data you're already generating. This setup ensures that you can quickly start seeing the benefits of AI-powered insights to inform and improve your marketing strategies.
Who are your ideal customers in terms of company size and industries?
Our ideal customers are enterprises and large organizations across a variety of sectors, including technology, retail, healthcare, and finance, that are committed to leveraging digital marketing strategies and are seeking cutting-edge analytical tools to stay ahead of the competition.
What do you see as the limitations of AI as it exists today?
AI today is only as good as the data it's fed. The challenge lies in AI's current need for vast, varied, and contextually rich datasets to make truly insightful decisions. BrandOps addresses this head-on by casting a wider net for data collection, allowing our AI to deliver a more nuanced and comprehensive analysis.
What do you see as the future potential of AI in marketing?
The future of AI in marketing is poised to revolutionize the industry with advancements in predictive analytics, real-time customer engagement, and the automation of complex marketing workflows, leading to more personalized customer experiences and efficient marketing operations.
Any other thoughts on AI in marketing, or advice for marketers who are just starting with AI?
For marketers new to AI, it's important to start with a clear goal and choose tools that can provide actionable insights. Look for AI solutions that can analyze a broad set of data to inform your marketing decisions.
Mike Kaput
As Chief Content Officer, Mike Kaput uses content marketing, marketing strategy, and marketing technology to grow and scale traffic, leads, and revenue for Marketing AI Institute. Mike is the co-author of Marketing Artificial Intelligence: AI, Marketing and the Future of Business (Matt Holt Books, 2022). See Mike's full bio.