Distinguishing fake traffic from real machine customers requires reading behavior. Jordan shows how AI-driven bots now scroll, click, and submit forms while inflating dashboards with activity that never converts. The signal lives in speed, sequencing, and follow-through. Teams that act protect the conversion point, block synthetic demand early, and report only after traffic earns trust.More
Tag Archives: dashboard
179: Tiankai Feng: The comeback of data quality and how NLP is changing the data analyst role
Data governance feels like the Jedi Council, steady with its rules, while marketing ops moves like the Rebel Alliance, quick to adapt when perfect data never arrives. Tiankai believes progress comes from blending discipline with curiosity, bringing data in early as a partner, not a critic.More
176: Rajeev Nair: Causal AI and a unified measurement framework
Rajeev believes measurement only works when it’s unified or multi-modal, a stack that blends multi-touch attribution, incrementality, media mix modeling and causal AI, each used for the decision it fits. At Lifesight, that means using causal machine learning to surface hidden experiments in messy historical data and designing geo tests that reveal what actually drives lift. Attribution alone can’t tell you what changed outcomes.More
127: Carmen Simon: Using brain science to deviate from expected patterns and create memorable content
Carmen takes us on an adventure exploring the wonders of brain science and how to sustain attention through contrast. We cover embodied cognition, deviating from expected patterns and avoiding the sea of sameness in AI content. We also take a detour into the speculative future of neuroscience and making data impactful through context. More
126: Michael Rumiantsau: AI’s role in democratizing data narratives for marketers
Michael’s on a mission to make data insights accessible and useful for everyone, not just experts, by leveraging AI to provide tailored, easy-to-understand insights that boost decision-making. This episode unpacks the future of Business Intelligence, automating insights with LLMs, and the importance of anomaly detection. Michael also discusses how proprietary data gives companies a competitive edge in the AI market.More
119: Adam Greco: The Future of event-based web analytics
Adam is a leading voice in digital analytics and he unpacks event-based analytics and how it’s transformed how marketers interact with data. Data tools are complicating the martech landscape with overlapping functionality and confusing terminology so Adam breaks down the nuanced difference between product analytics, customer data infrastructure and ETL.More
116: Kevin Hu: How data observability and anomaly detection can enhance MOps
Dr. Kevin Hu gives us a masterclass on everything data. Data analysis, data storytelling, data quality, data observability and data anomaly detection. We unpack the importance of balancing data perfection with actually doing the work of activating that data. He highlights data observability and anomaly detection as a key to preempting errors, ensuring data integrity for a seamless user experience. More
66: A guide to data models and dynamic dashboards for marketers
Understanding how a dashboard is powered, and having a sense of what is possible and what is not, is a crucial differentiator. Too often, I have seen dashboard projects built in a vacuum, disconnected from the reality of the data and the systems that support them. In these cases, valuable time and resources are wasted building an idealistic dashboard that cannot be implemented or used effectively.More
65: It takes a village to build a dashboard
When designing a dashboard, it’s important to focus on the decisions you want to make, rather than just the metrics you want to track. Before building your dashboard, consider your audience and bring together the right people to answer key questions. This will help you create a prototype of your first version.More
38: How skilled do you need to be at marketing reporting?
You need to incorporate reporting into your skillset, and it’s not as scary as you think. There’s a lot that makes you qualified to produce reports, even if you don’t feel like an expert. Marketers, particularly in smaller companies, need to learn enough to be dangerous.More