First-party data powers local journalism at Baltimore Banner

By Julie Jochims

Arc XP

San Francisco, California, United States

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Launched in June 2022, The Baltimore Banner has quickly become a force in local journalism.

The nonprofit newsroom now boasts Maryland’s largest newsroom with more than 85 journalists, serves over 55,000 paid subscribers, and is growing 50% year over year.

Earning a Pulitzer Prize within its first three years for its coverage of Baltimore’s opioid crisis underscores what the Banner proves every day: Independent local journalism can be both powerful and sustainable.

Yet, as Biswajit Ganguly, chief technology officer of The Baltimore Banner, emphasised during his session at Arc XP Connect NYC, sustaining this success requires more than excellent reporting: It demands ownership of the data driving audience engagement, subscription growth, and editorial strategy. 

“Reclaiming independence from Big Tech is not about walking away from their platforms,” Ganguly said. “It’s about owning the data that enables interactions with real readers and using that insight to drive our business forward.”

The challenge of platform dependence

Local news organisations operate in a landscape increasingly dominated by external platforms. Social media referral traffic has declined sharply in recent years, and the rise of zero-click search experiences has coincided with a measurable decline in organic discovery.

Meanwhile, AI-driven bots account for a growing share of site visits, consuming resources without contributing to subscriber growth.

At the Banner, recent analysis of site traffic shows roughly 25% of requests come from non-convertible sources such as bots, highlighting the urgency of prioritising genuine human interactions.

“Every genuine reader is a supporter of our work,” Ganguly said. “Owning the data from these interactions allows us to build relationships, deliver relevant experiences, and make decisions based on insight rather than reaction.”

From siloed data to unified insights

To address this challenge, The Baltimore Banner invested in building a scalable data lake that unifies previously siloed datasets from subscriber and content performance metrics to marketing signals, engagement behaviour, and customer feedback.

This unified foundation enables the newsroom to move beyond fragmented, session-level analytics toward a connected understanding of readers and content performance across millions of daily events.

Rather than treating data sources in isolation, the Banner connects them to reveal patterns and relationships that would otherwise remain invisible.

The team follows a clear data framework: collect, connect, predict, and personalise. Data is gathered from multiple systems, connected to form a holistic view of readers, analysed to generate forward-looking insight, and applied to deliver more relevant and personalised experiences.

Turning insight into action

With this foundation in place, the Banner has begun applying AI-driven analytics to shorten the distance between data and editorial action.

One example comes from sports coverage. By combining AI-based content classification with performance and conversion data, the team discovered just 10% of a specific class of sports stories drove 36% of subscriber conversions.

Surfacing this insight reduced time-to-insight for the newsroom by roughly 60%, enabling editors to more effectively shape content mix and publishing strategy.

Push notifications offered another opportunity for improvement.

As the Banner’s audience grew, engagement with generic push alerts began to decline, a familiar pattern across news organisations. By analysing reader behaviour across geography, topics, and historical engagement, the team introduced opt-in, preference-driven notifications.

This shift reversed declining engagement trends by aligning alerts more closely with individual reader interests.

Personalisation and engagement

Personalisation has also played a growing role in deepening reader engagement.

The Banner recently introduced a “For You” feature within its mobile app, informed by several years of first-party data on topics and authors readers consistently follow.

The impact has been significant. Users who actively follow topics or authors show 67% higher engagement, while overall session length increased by 12% after the feature launched, compared to previous behaviour.

These results reinforce a central insight from Ganguly’s talk: Personalisation is not about algorithmic noveltynbut about responsibly applying first-party data to serve readers more effectively.

Beyond content: building a sustainable business

The implications of data ownership extend well beyond editorial decisions. The Banner is actively applying connected data to inform subscriber conversion strategies, optimise ad placement, mitigate churn, and improve cost efficiency across the organisation.

As Ganguly explained, this approach enables the organisation to move from reactive responses, often driven by opaque platform algorithms, to proactive strategies grounded in predictive insight. While many of these capabilities are still evolving, the foundation now supports more adaptive offers, targeted advertising, and increasingly AI-assisted editorial workflows.

Redefining the local newsroom

Looking ahead, Ganguly believes the future of local news depends on blending editorial judgment with data-informed strategy.

Newsroom leaders, he argues, will increasingly operate as both editors and data-savvy strategists, using insight to design workflows, experiences, and subscription models that reflect how audiences actually engage.

For The Baltimore Banner, the mission remains clear: Deliver hyper-local journalism informed by data and grounded in trust.

“The promise of local news is serving communities with information they can trust,” Ganguly said. “Data ownership ensures we can do that while building a sustainable model for growth and impact.”

A blueprint for local journalism

The Banner’s experience offers a practical roadmap for other local publishers navigating a volatile digital ecosystem. By establishing a strong first-party data foundation, connecting siloed insights, and progressively applying predictive intelligence, newsrooms can reclaim audience relationships and deliver greater value to their communities.

“Our future depends on owning the reader relationship,” Ganguly said. “Acting on insight, not intuition, is how local news can thrive in the digital age.”

About Julie Jochims

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