Mobkoi and xpln.ai announced on June 17, 2026, an expansion of their global strategic partnership, committing to embed attention measurement more deeply into Mobkoi's mobile advertising stack - and disclosing that more than one billion impressions have already been measured through the collaboration in the past 12 months alone.

The announcement positions the deal as a response to growing demand from brands and agencies for an alternative to delivery-based metrics in evaluating mobile media quality. The figures disclosed alongside it make the expansion worth examining in detail.

What the partnership covers

Mobkoi, which operates as part of the Brandtech Group, describes itself as a mobile advertising technology company focused on high-impact formats for brands, publishers, and content creators. xpln.ai provides what it calls an attention measurement and optimization solution that goes beyond traditional viewability and completion rate signals.

The renewed agreement brings xpln.ai's technology further into Mobkoi's mobile offering. According to Mobkoi, the collaboration enables advertisers to assess how creative formats and ad environments translate into real audience engagement, rather than relying on metrics that confirm delivery without confirming reception.

The core of the xpln.ai approach is that attention is quantifiable and predictable from exposure signals - not merely from whether pixels were visible on screen for a defined duration. According to xpln.ai, attention and advertising effectiveness are measurable well beyond viewability and completion, which the company describes as insufficiently discriminating and prone to misqualifying actual advertising impact.

The 1 billion impression figure

The headline data point in the announcement is substantial. According to Mobkoi, xpln.ai has measured more than one billion impressions across Mobkoi's inventory over the past 12 months. That scale matters for two reasons. First, it establishes that the partnership is not experimental - it is operating at production scale across a significant volume of commercial campaigns. Second, it provides a large enough dataset for the performance figures disclosed alongside it to carry statistical weight.

Average attention across those measured impressions exceeded 5.5 seconds. That number requires context to interpret properly. Attention time is not the same as time-in-view. A viewable impression meets the minimum standard set by the Media Rating Council - 50% of pixels visible for at least one continuous second for display ads - but it does not guarantee that a human eye engaged with the advertisement. Attention measurement attempts to capture the latter, not the former.

PPC Land has covered the broader attention measurement category extensively, including the MRC and IAB's November 2025 release of standardized guidelines that address exactly this fragmentation. Those guidelines define key attention dimensions spanning content, placement, and creative elements, and establish frameworks for comparing attention data across providers and platforms.

The Interscroller format result

The most striking number in the announcement concerns Mobkoi's Interscroller format. According to Mobkoi, the Interscroller recorded an average attention time 150% higher than the market benchmark for Display formats, as measured by xpln.ai.

The Interscroller is a mobile-specific ad unit. It operates as a full-screen format that appears between content as a user scrolls, typically occupying the entire viewport when it enters view and then transitioning away as the user continues scrolling. The format's design logic is that it cannot be ignored - it occupies the full screen during the transition between content blocks. What the xpln.ai data suggests is that format design, not just placement, drives meaningful differences in measured attention.

This is not a trivial distinction. The industry debate around attention has often focused on environment - which sites or apps deliver higher attention audiences. The Mobkoi data, if it holds, points to a different lever: the creative execution and format structure of the unit itself.

Levent Gunes, CEO of Mobkoi, addressed this directly in the announcement. "Attention is shaped not just by where an ad appears, but by how it is designed and experienced," he said. "Across campaigns with brands such as BNP Wealth Management, we've seen advertisers move beyond delivery metrics to understand which environments and creative formats genuinely sustain engagement. Renewing our partnership with xpln.ai enables us to bring those insights directly into mobile campaign planning, helping brands optimize for attention from the outset."

xpln.ai's technical architecture

Understanding what xpln.ai actually measures helps interpret those numbers. According to earlier xpln.ai partnership disclosures, the platform captures between 20 and 25 exposure signals per individual impression. These signals include share of screen, time fully in view, contextual clutter, content alignment, and additional environmental factors. Machine learning models trained on eye-tracking datasets analyze which combinations of those conditions correlate with verified viewer engagement.

The result is a predictive attention KPI that can be applied at scale without requiring live eye-tracking observation for every campaign. The training data is derived from panel-based eye-tracking studies; the models then generalize those patterns across the full impression inventory.

Index Exchange embedded xpln.ai's attention signals directly into its supply-side platform in February 2026, transforming attention metrics from post-campaign reporting into pre-bid optimization. That integration allowed programmatic buyers to activate attention segments within Index Marketplaces before campaigns launched - a meaningful shift from retrospective analysis to live optimization. The xpln.ai-Mobkoi partnership operates differently: it applies that same measurement infrastructure inside a managed mobile advertising offering rather than as a pre-bid signal inside an open exchange.

Ogury also listed xpln.ai as one of its attention measurement partners in February 2026 when it extended persona-based targeting to connected television. And in April 2026, xpln.ai announced a separate partnership with TVision to integrate second-by-second CTV attention data into scalable predictive models for cross-channel measurement. That deal was designed to give buyers a consistent attention measurement framework across CTV, social, YouTube, and the open web simultaneously.

Fabien Magalon on the shift in advertiser behavior

Fabien Magalon, CEO of xpln.ai, described the dynamic behind the Mobkoi renewal. "We're seeing a clear shift from measuring whether an ad was delivered to understanding whether it actually held attention," he said. "Our continued collaboration with Mobkoi reflects how advertisers are starting to evaluate mobile environments through a deeper lens of media quality, where creative formats and context play a much bigger role in campaign effectiveness."

The language Magalon uses - "media quality" - is precise. Media quality has historically been defined by viewability and brand safety: was the ad visible, and was it adjacent to appropriate content. The addition of attention as a third pillar of media quality changes what planners are optimizing toward. It also changes what data needs to flow into campaign planning before spend is committed.

Why mobile is the friction point

The mobile advertising environment presents specific measurement challenges that make attention data harder to generate and interpret than in desktop or CTV contexts. Screen sizes vary. User behavior on mobile is typically faster-paced than on desktop, with shorter dwell times per page and higher scroll velocity. Mobile app environments, which now capture the majority of mobile ad spend, have historically been harder to measure with panel-based eye-tracking because the in-lab observation conditions differ materially from real-world mobile usage.

IAS expanded its Quality Attention product to mobile in-app environments in July 2024, citing eMarketer data suggesting apps were predicted to capture 82% of estimated mobile ad spend that year. The expansion added format-specific signals including pause, resume, skip, and start tracking for video formats, along with volume change monitoring. Mobile in-app attention measurement at that scale requires a different technical approach than desktop web measurement, because the standard MRC viewability definitions were designed primarily around browser-rendered display and video.

The Mobkoi-xpln.ai partnership addresses this environment through format-level measurement rather than inventory-level measurement. Rather than scoring all mobile impressions on a consistent environmental basis and identifying which placements score higher, the approach appears to use format design - specifically Mobkoi's proprietary ad units like the Interscroller - as a primary variable in the attention outcome.

What the benchmark comparison means

Comparing the Interscroller's 150% outperformance against Display benchmarks requires understanding what xpln.ai uses as its benchmark. According to Mobkoi, the reference point is xpln.ai's own market benchmark for Display formats. The benchmark implies a baseline derived from xpln.ai's broader measurement dataset - covering display campaigns across multiple publishers, environments, and formats - against which any individual format or placement can be indexed.

A 150% premium is substantial. For context, Uber Advertising reported that its Post Check Out placements on Uber Eats exceeded mobile display benchmarks by 40% - a figure that the industry received as significant evidence of platform-specific attention advantages. The Mobkoi figure is considerably larger, though the two use different measurement providers and different benchmark methodologies, making direct cross-platform comparison difficult.

The significance of the average attention time figure - 5.5 seconds - is also worth weighing against the broader market. Attention research published by Lumen Research, a company whose eye-tracking data underpins several major attention products including IAS Quality Attention, has shown that one second of active attention per impression correlates with a 20x increase in ad recall in certain contexts. At 5.5 seconds average, Mobkoi's measured inventory sits substantially above the threshold most attention researchers treat as meaningful for brand recall.

Context within the attention measurement category

The Mobkoi-xpln.ai announcement lands in a market that has seen rapid expansion of attention measurement capabilities across every major advertising environment in the past two years. Lumen Research brought attention measurement to Netflix ads across CTV, desktop, and mobile in five European markets in March 2026. Teads extended the Lumen partnership to CTV HomeScreen inventory in May 2026, covering US, EMEA, APAC, and LATAM simultaneously.

Across these deployments, a structural pattern is visible. Attention measurement is moving from research tool to operational input. Where attention data once informed post-campaign analysis, it is increasingly being deployed before and during campaigns to shape which inventory gets bought, at what price, and through which formats.

The Mobkoi-xpln.ai renewal reflects that same trajectory within mobile. The one billion impression figure is not an audit of past performance; it is infrastructure that now informs planning for future campaigns. According to Mobkoi, brands can optimize for attention from the outset of campaign planning, rather than measuring it after spend has cleared.

IAS's integration with Mastercard, announced in March 2026, demonstrated one direction this can lead: early testing in telecommunications and retail categories showed 246% higher sales lift for impressions with high Quality Attention scores, and 133% improvement in projected ROI for high-quality impressions. The Mobkoi partnership operates in a different part of the market - managed mobile advertising rather than open programmatic - but it points in the same direction: toward media quality signals derived from attention that connect format-level decisions to measurable business outcomes.

BNP Wealth Management as a named case

Gunes named BNP Wealth Management as an example of brands that have moved through this process. The reference is notable not for its specificity - no campaign data was disclosed for BNP - but for what it implies about demand. BNP Wealth Management is a financial services advertiser, a category in which brand safety, contextual appropriateness, and audience quality matter as much as raw reach or cost efficiency. The fact that a wealth management brand is cited in the context of moving beyond delivery metrics toward attention-based optimization suggests the demand is coming from brand-led advertisers, not just performance-driven ones.

The broader significance for marketing practitioners

For media planners and programmatic buyers, the Mobkoi-xpln.ai announcement raises a practical question: how should format-level attention data factor into mobile campaign planning? The answer is not simple, because attention benchmarks differ by provider, and the xpln.ai methodology is proprietary. But the direction of the industry is clear enough. The MRC and IAB's November 2025 attention measurement guidelines established a common vocabulary for comparing attention metrics across providers, even if they did not mandate a single measurement approach.

What is changing is the granularity at which attention data can inform decisions. A benchmark that says a particular format outperforms the display average by 150% is more operationally useful than a benchmark that says a particular domain scores higher than the exchange average. Format-level data gives creative teams and media planners a shared signal - one that connects creative execution to measured audience engagement, not just verified delivery.

Timeline

Summary

Who: Mobkoi, a mobile advertising technology company and part of the Brandtech Group, and xpln.ai, an attention measurement and optimization platform.

What: An expansion of an existing global strategic partnership that deepens the integration of xpln.ai's attention measurement technology into Mobkoi's mobile advertising offering. The announcement disclosed that more than one billion impressions have been measured through the collaboration in the past 12 months, that average attention time across those impressions exceeded 5.5 seconds, and that Mobkoi's Interscroller format recorded attention time 150% above xpln.ai's Display market benchmark.

When: Announced on June 17, 2026.

Where: The partnership operates globally across Mobkoi's mobile advertising inventory. Mobkoi is headquartered as part of the Brandtech Group; xpln.ai operates internationally. The announcement was published through EIN Presswire in New York.

Why: Growing demand from brands and agencies to evaluate mobile media quality through attention signals rather than legacy delivery metrics - such as impressions served, viewability thresholds, and completion rates - is driving both companies to expand the collaboration. The data generated over the past 12 months of the partnership, covering more than one billion measured impressions, provides the evidential base for brands to optimize campaign planning toward attention outcomes from the start rather than assessing engagement only after spend has been committed.