Why Analytics Is Product Infrastructure
Analytics is often treated as a reporting feature: a dashboard added after the product already exists. That is usually too late. For software operators, analytics is closer to inf...
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Analytics is often treated as a reporting feature: a dashboard added after the product already exists. That is usually too late. For software operators, analytics is closer to inf...
Most mobile teams believe analytics is already solved. SDKs are in place, dashboards are live, and hundreds of events are flowing in real…Continue reading on Digia Studio »
Nielsen announced a new outcomes-based measurement capability called Predictive Sales Lift. The feature is designed to help media buyers predict sales lift and incremental revenue...
Keywords, Kinda The tabs, they are a-changin’. As in, campaign analytics tabs and what they’re meant to show advertisers. The biggest shift has been the move from “analytics” to “...
In the digital economy, data is often called the new oil — but raw data alone has little value. Its real power emerges when it is analyzed…Continue reading on Medium В»
I see e-commerce teams constantly trying to comprehend the changes in conversion rates, dips in bestseller sales categories, or a surge in cart abandonment cases. But instead of cl...
Discover how career centers can move beyond activity tracking to outcome-driven analytics. This guide covers foundational metrics, dashboard design, segmentation for equity, predic...
TL;DR Survey data analysis turns raw responses into patterns you can act on. It covers both quantitative data (scores, scales, multiple choice) and qualitative data (open-ended...
Learn how incomplete tracking affects your analytics, why it leads to wrong decisions, and how Google Tag Manager helps create a reliable tracking setup.
To advance data‑driven transformation, enterprises need structured approaches that clearly link analytics initiatives to business outcomes and communicate impact consistently. Yet...
AI is killing the analytics UI, but the infrastructure underneath matters more than ever. Here's what gets displaced and what survives.
AI agents collapse the gap between analytics and activation, turning insights into action on a single data foundation. Learn what this means for your stack.
TL;DR Most feedback analytics programs are broken in the same four ways: fragmented data across channels, manual analysis that can't keep up, missing feedback-to-action loops,...
Sensor Tower, a leading provider of data on the digital economy, announced the launch of its enhanced Web Insights platform, connecting web traffic and Gen-AI signals with Sensor T...
Most analytics stacks break the moment a business moves on-chain. Traditional BI assumes stable schemas, account-based identity, and data…Continue reading on Medium »
TL;DR Conversational analytics processes unstructured customer interactions (calls, chats, support tickets, emails, reviews) using NLP and machine learning to surface structure...
Google Analytics now separates AI assistant traffic from referrals with a new default channel group for recognized chatbot referrers like ChatGPT and Gemini. The post Google Analyt...
When you change your date range to “Today” in Web Analytics, you can see who’s visiting your website right now. In real time. Not as... The post Introducing the real-time Astro Map...
PR analytics software helps enterprise communications teams measure campaign performance, monitor media coverage, analyze sentiment, and connect PR activity to business outcomes. ...
Under a new agreement with Ipsos, eligible Ipsos Global Influentials (IGI) subscribers can work with IGI data in DataTile, with access to capabilities including crosstabs, dashboar...
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