
The addition of granular web traffic data gives Bloomberg users faster, more predictive insights, sharpening investment decisions in volatile markets.
Alternative data has become a cornerstone of modern investment research, offering insights that traditional financial statements often miss. Bloomberg’s ALTD <GO> platform aggregates such data, delivering it alongside market prices, broker estimates and news. By partnering with Similarweb, Bloomberg expands its data universe to include detailed web‑traffic analytics, a move that reflects the growing demand for real‑time digital signals that can forecast consumer behavior and revenue trends before they appear in earnings reports.
Similarweb provides a suite of metrics—unique visitors, average session duration, bounce rates, and page views—that paint a nuanced picture of a company’s online presence. These indicators serve as proxies for brand health, customer acquisition, and market share shifts. Integrated directly into the Bloomberg Terminal, the data can be layered onto financial models, enabling analysts to nowcast key performance indicators and conduct peer comparisons with unprecedented speed. The seamless workflow means research teams can toggle between traditional fundamentals and digital performance without leaving the terminal environment.
For investors, the practical impact is clear: earlier detection of growth inflection points translates into more timely trade ideas and higher conviction in portfolio construction. In volatile markets, where speed and predictive accuracy are premium, the ability to cross‑validate earnings expectations with real‑time web traffic trends offers a decisive edge. As more firms adopt digital metrics, Bloomberg’s inclusion of Similarweb positions it as a leading provider of holistic, multi‑dimensional analytics, likely spurring broader adoption of alternative data across the asset management industry.
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