Clootrack just crossed a threshold that few enterprise AI platforms can claim: more than 100 billion OpenAI tokens processed across its customer base. The milestone signals a shift in how global organizations approach Voice of the Customer (VoC) analytics, pushing beyond dashboards and sentiment scores into real operational impact.

The spike in usage follows two major upgrades. In 2024, Clootrack migrated its patented unsupervised thematic analysis engine to OpenAI. Then, in early 2025, it launched an Agentic Workflow Builder designed specifically for VoC teams. Combined, these enhancements have turned customer feedback—long treated as a noisy afterthought—into a high-resolution decision system.

Clootrack CEO Shameel Abdulla frames the achievement as a trust signal rather than a technical one. “This achievement is not about token volume; it is about trust at scale,” he said. According to Abdulla, enterprises are rebuilding their decision loops around AI, and Clootrack’s accuracy claims of 98% or higher make that shift possible.

And the outcomes are hard to ignore. Brands report double-digit reductions in ecommerce returns, NPS improvements within a single quarter, and threefold acceleration in product development. Contact centers have lowered average handling time by as much as 15%, while some teams cut agent churn by 20%. Private equity firms have even shortened diligence cycles by weeks. These gains illustrate a broader trend: enterprise AI is now graded on business results, not novelty.

Reaching the 100-billion-token mark didn’t come easy. Clootrack rebuilt core algorithms, workflows, and internal development systems to meet enterprise expectations for transparency and control. Abdulla said the team “hit walls almost every day,” but precision remained non-negotiable. The milestone suggests the rebuild paid off.

The platform now blends unsupervised thematic analysis with agentic AI workflows to interpret emotion, context, and intent across 55+ languages and more than 1,000 data sources. Retail giants, SaaS leaders, banks, healthcare providers, and private equity firms rely on Clootrack to unify scattered feedback into real-time intelligence that supports faster decisions and measurable growth.

While many AI-powered CX tools still offer surface-level sentiment snapshots, Clootrack’s trajectory shows where the market is heading. Enterprises want clarity, impact, and systems that scale without breaking. Surpassing 100 billion tokens is less a victory lap and more a preview of what the next generation of customer intelligence will look like.

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Qlik is tightening its grip on the data quality race. The company unveiled a fresh set of AI-powered capabilities in Qlik Talend Cloud, designed to make governed, trusted data easier for enterprises to use wherever work happens. The update offers what many data teams have long wanted: faster publishing, cleaner datasets, and fewer hours swallowed by tedious documentation.

The headline feature is a one-click ability to publish secure, standards-based API endpoints for governed data products. This unlocks a wider ecosystem, letting teams push the same curated data directly into Power BI, Tableau, Excel, Salesforce, and custom internal apps without creating duplicate pipelines. For organizations already drowning in data silos, that alone is a lifeline.

The platform also introduces automated dataset documentation through a feature Qlik calls auto-describe. It generates field-level descriptions at scale, improving data discoverability for business users and eliminating the manual busywork that data stewards have endured for years.

But the biggest productivity kicker may be the AI-powered data quality assistant, which analyzes datasets and proposes validation rules based on their profile. Instead of manually crafting checks, teams can now cover far more scenarios while spending far less time building logic.

Qlik didn’t stop at cleanup tools. The release includes agentic, sprint-style remediation workflows that bring domain experts, analytics leaders, and data stewards together. Rather than funneling issues through endless tickets, teams can collaborate in real time to validate fixes, raise trust, and accelerate delivery.

“Customers want flexibility. If your best data is stuck in one tool, it becomes a bottleneck,” said Drew Clarke, EVP of Product & Technology at Qlik. He emphasized that standards-based APIs reduce friction across the stack, while AI-driven stewardship “removes repetitive tasks and helps teams deliver trusted outcomes faster.”

Eva Chrona, CEO of Climber, put it more bluntly: “Qlik has turned stewardship into a team sport.” Her team has already seen time savings from auto-describe and AI-generated quality checks, and she expects AI-guided workflows to deepen that impact.

Qlik says the new Data Product APIs are available today. Auto-describe and the DQ Rule Assistant are rolling out, and an early access program for enhanced data stewardship features is open now. The move puts Qlik in a strong position as enterprises push for unified, governed data that can move across tools without losing trust—or time.

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Skybeam, Simulmedia’s self-serve TV advertising platform, just made one of the industry’s most stubborn barriers disappear. The company launched Traditional TV Advertising inside its platform, allowing users to run broadcast and cable campaigns alongside streaming—without the old maze of rate cards, ad reps, and minimum budget requirements.

The move brings digital-style simplicity to linear TV, a channel that still commands significant attention. More than 40% of U.S. viewers continue to watch traditional television, especially for local news, primetime entertainment, and live sports. Yet smaller advertisers have rarely been able to tap into that audience because linear TV has long favored large brands with deep pockets and specialized teams.

A Unified Path to Streaming and Linear

Skybeam now positions itself as the first self-serve platform to merge Streaming + Traditional TV buying in one workflow. Users simply pick their market, set a schedule, define a budget, and upload a spot. The platform then handles planning, placement, and optimization—tasks that previously required expertise or expensive intermediaries.

The update leverages Simulmedia’s 15 years of national TV buying experience, turning what used to be a complex transaction into a straightforward campaign setup. For many local advertisers, that shift could unlock audiences they’ve never been able to reach.

Closing the Accessibility Gap

Until now, traditional TV buying created four persistent hurdles:

• Complex negotiations with reps and opaque rate structures

• High entry budgets that sidelined local players

• Limited expertise to plan and optimize linear campaigns

• Fragmentation between streaming and linear buying tools

Skybeam’s streamlined experience removes these friction points and gives local businesses real access to premium TV inventory. It also helps agencies consolidate workflows that previously required juggling multiple vendors.

A Level Playing Field for TV

Simulmedia CEO Dave Morgan described the launch as an overdue shift. “For years, access to traditional TV advertising was limited to large brands with big budgets,” he said. Skybeam now extends that reach to smaller businesses “with the same power and precision we’ve provided national advertisers for over a decade.”

For advertisers still chasing trust and high engagement, traditional TV remains hard to beat. The channel continues to hold some of the most attentive audiences in U.S. media. Skybeam’s update brings that value within reach of local brands that have long viewed TV as off-limits.

The platform is available now. Users can sign up, set up a campaign, and get their brand on-air in the same market as major national advertisers—no negotiations, no contracts, and no steep buy-ins.

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FICO is pushing credit scoring into new territory. The analytics giant revealed a strategic partnership with Plaid to introduce the next generation of the cash flow–enhanced UltraFICO Score, designed to give lenders deeper, real-time insight into consumer financial health. Instead of relying solely on traditional credit metrics, lenders can now tap live transaction data to make faster, sharper, and more inclusive decisions.

The move builds on FICO’s earlier UltraFICO Score, but this version raises the stakes. Plaid’s infrastructure connects to more than 12,000 financial institutions and processes nearly one million secure financial connections every day. By merging that reach with the reliability of the FICO Score—still used by 90% of top U.S. lenders—the two companies aim to deliver a unified score that strengthens risk assessment without adding operational drag.

Cash Flow Intelligence Becomes a Core Credit Signal

The enhanced UltraFICO Score analyzes inflows and outflows across checking, savings, and money market accounts. This gives lenders real-time visibility into stability, spending behavior, and liquidity—critical factors for understanding credit readiness, especially among consumers who fall outside traditional scoring models.

FICO’s vice president and general manager of B2B Scores, Julie May, highlighted the market’s demand for broader credit perspectives. She said the partnership represents nearly a year of work focused on creating “the foundation for more comprehensive lending decisions.” The collaboration marks a shift toward more responsible and inclusive scoring at a time when lenders are eager to expand access without compromising precision.

Easier Integration, Faster Adoption

The updated UltraFICO Score will be distributed through Plaid’s Consumer Reporting Agency, Plaid Check, which streamlines onboarding for lenders. The companies say the model aligns with the flagship FICO Score, allowing institutions to adopt cash-flow-enhanced scoring without lengthy testing or risk-model overhauls.

Lenders also gain universal compatibility, so they can use the enhanced model alongside the traditional FICO Score in any channel. This flexibility reduces friction and clears the path for faster implementation across underwriting workflows.

A Step Toward Smarter, More Inclusive Lending

Plaid’s head of partnerships, Adam Yoxtheimer, emphasized the rising importance of real-time financial data. He noted that high-quality cash flow visibility is becoming essential for lenders looking to capture a fuller picture of consumer credit readiness. The combined score gives institutions stronger risk signals while offering borrowers more ways to demonstrate financial strength.

With banks under pressure to innovate, modernize underwriting, and reach underserved markets, this partnership positions FICO and Plaid at the center of a major shift. The next-generation UltraFICO Score aims to make lending both smarter and fairer—without complicating the systems lenders rely on.

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VERB Products, the salon-quality haircare brand known for one accessible price point across its lineup, has selected Listrak as its unified cross-channel marketing partner. The move aims to boost e-commerce performance and deepen customer engagement through a single AI-powered platform for email, SMS, and web personalization.

The partnership has already delivered early wins. VERB reports a 300% year-over-year increase in automations and a 30% lift in SMS conversions since integrating Listrak’s tools. The gains reflect a broader shift among beauty brands toward data-driven personalization, where seamless communication across channels is now table stakes for growth.

AI-Driven Personalization at Scale

Listrak’s platform brings data, identity resolution, and predictive intelligence under one roof. VERB now uses the system to power hyper-personalized experiences across email campaigns, SMS flows, and on-site interactions. That includes predictive product recommendations and dynamic content tailored to individual customer behavior.

The brand also collaborates closely with Listrak’s beauty industry specialists, using benchmarks and trend insights to sharpen campaign execution. This mix of platform automation and expert guidance helps VERB scale personalization without adding operational burden.

Nicole Johnson, VERB’s Digital Marketing Director, said the mission is simple: help customers feel confident while discovering products that fit their unique style. She emphasized the value of having both an integrated platform and a hands-on partner to deepen retention and CRM strategy.

A Collaborative Push Toward Loyalty

Listrak’s CRO, Jamie Elden, noted that VERB’s focus on individuality extends from its diverse product range to its online shopping experience. The company’s role is to elevate those journeys with smarter targeting and more cohesive messaging across touchpoints. As beauty e-commerce gets increasingly competitive, consistent personalization becomes a key differentiator for loyalty.

Fueling Growth With Creative Digital Campaigns

VERB’s momentum also stems from inventive digital campaigns that reinforce brand identity. One example is Ghost Month, an October-long interactive experience celebrating the brand’s cult-favorite Ghost Oil and the wider Ghost collection. The series blends storytelling, product education, and playful digital engagement—an approach Listrak’s tech now helps amplify.

As the holidays approach, VERB plans to roll out high-intent campaigns including Black Friday promotions and its annual December Mystery Box event. With Listrak’s automation and predictive targeting in place, the brand is positioned to drive stronger conversions during peak shopping season.

VERB’s partnership with Listrak signals a broader trend: beauty brands leaning into unified automation platforms that merge intelligence, creativity, and cross-channel execution. With early results already hitting triple-digit lifts, VERB appears set to scale faster while keeping personalization at the center of every customer interaction.

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MarketFully, the company positioning itself as the global leader in In Content Marketing, is launching its first-ever InContent Marketing Summit—InContent 2025—a virtual event designed to examine how AI-driven disruption is reshaping multilingual SEO, global discoverability, and the role of cultural intelligence in content performance.

Scheduled for December 4 at 11:00 a.m. ET, the free, executive-level session will bring together senior marketing leaders across industries seeking to improve localization outcomes, strengthen search visibility in global markets, and build scalable, culturally aligned content operations that still protect brand integrity.

A New Framework: InContent Marketing

The discussion, moderated by MarketFully CEO Evan Kramer, will introduce InContent Marketing, an inbound-driven multilingual content strategy that blends in-market expertise, linguistic accuracy, and cultural relevancy. The approach is designed to address long-standing friction in global content programs—particularly the gap between localization practices and marketing KPIs.

Kramer will be joined by multilingual marketing and content strategy experts who specialize in crafting culturally resonant content that drives measurable outcomes. Together, the panel aims to break down how AI, content workflows, and cultural intelligence intersect to deliver sustainable performance across regions.

Key Challenges CMOs Are Facing

The session will explore the pain points leaders are grappling with today, including:

• Weak visibility in multilingual SEO and AI-powered search

• Localization processes disconnected from core marketing metrics

• A shortage of authentic, reliable local content creators

• Misalignment between global headquarters and regional teams

• The ongoing struggle to convert localization spend into revenue impact

Panelists will also outline strategies for operationalizing brand governance in every market, implementing scalable workflows, and transforming localization into an ROI-positive function rather than a cost center.

High Stakes for Global Brands

"CMOs and marketers today face a tall order: They must scale content efficiently across markets without losing relevance or performance," said Kajetan Malinowski, VP of Product Management at MarketFully. He added that proving the ROI of multilingual content has become increasingly difficult, especially as brands face rising pressure to engage multicultural audiences both in the U.S. and globally. InContent 2025 aims to surface practical solutions and frameworks for teams navigating these complexities.

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NIQ just earned its certification as a Google Meridian partner—an endorsement that places the consumer intelligence giant inside a small, select circle of measurement specialists trusted to advance Google’s open-source Marketing Mix Model (MMM) ecosystem. For marketers, this move signals a meaningful shift toward more transparent, accessible, and scalable measurement options at a time when reliable attribution is harder to secure than ever.

Google’s Meridian framework is designed to help advertisers analyze the real impact of their marketing investments using open-source MMM technology. While traditional attribution models continue to buckle under privacy restrictions and signal loss, Meridian aims to fill the gap with reproducible, privacy-resilient modeling that spans channels. NIQ’s certification strengthens that mission by layering its own long-standing MMM expertise on top of Google’s modernized methodology.

Meridian’s latest upgrades also bring forward improved search measurement—now accounting for organic search volume—and a refined approach to video Reach & Frequency modeling. For brands still wrestling with how to value upper-funnel channels or understand the influence of search behavior on conversions, these enhancements expand the model’s real-world fidelity.

“This certification marks a major milestone in our mission to empower advertisers and media owners with best-in-class tools for measuring media impact faster, deeper, and more efficiently,” said Jason Tate, General Manager of Marketing Effectiveness at NIQ. He noted that blending open-source advancements with NIQ’s proprietary modeling gives marketers more dependable and flexible measurement options across global markets.

The partnership also positions NIQ as a bridge between standardized open-source guidelines and the more sophisticated models used by complex enterprises. Marketers can tap into an expanded range of outcome-based solutions without sacrificing transparency or control, and with enough flexibility to adjust for market conditions, strategy shifts, and diverse media portfolios.

As measurement evolves away from point-solution attribution, collaborations like this may become the industry’s blueprint—pairing standardized frameworks with proprietary intelligence to balance consistency and competitive advantage. For now, NIQ’s certification reinforces its place among the leading voices shaping the future of MMM, ensuring advertisers have credible tools to evaluate performance and optimize investments with more confidence.

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SAP transformation projects don’t have a reputation for speed—or simplicity. BearingPoint’s new AI-driven delivery platform, BeMind by BearingPoint, is designed to change that narrative. After 18 months of development and real-world testing across more than 20 SAP programs, the consultancy is rolling out the platform at scale with a bold promise: shave 20–30 percent off effort and timelines while boosting quality across every phase of an SAP transformation.

The platform blends advanced AI automation with BearingPoint’s deep delivery and technical expertise, creating what the firm positions as an end-to-end production engine for SAP programs. In an industry where schedules often slip and documentation demands explode, the pitch is straightforward—faster execution, fewer bottlenecks, and higher-quality output without sidelining human judgment.

“BeMind by BearingPoint marks a fundamental shift in how we deliver value to our clients,” said Kay Manke, Global Leader Consulting Portfolio and Innovation at BearingPoint. He emphasized that AI is integrated across the full project lifecycle, but human expertise remains central. The combination is intended to help project teams work with more precision and less manual fatigue.

An AI Layer Across the Entire SAP Lifecycle

BeMind supports more than 25 use cases and embeds automation from the earliest planning stages to go-live. That includes analyzing large datasets, generating documentation, producing test cases, and even auto-creating SAP code from approved inputs.

This isn’t a collection of disconnected features; it’s a structured platform that governs processes with enterprise-grade security and a consistent quality framework. In large S/4HANA programs—often burdened by sprawling workflows and large cross-functional teams—these capabilities translate to measurable efficiency and reduced risk.

Less Effort, Shorter Timelines, Better Quality

BearingPoint positions BeMind’s value across three measurable dimensions:

• Effort reduction: Tasks like user-story writing, documentation, configuration support, and test development are automated. Work that once required days can now close out in minutes, giving teams more time for validation and solution design.

• Time compression: By reducing project effort by up to 30 percent, organizations can accelerate each phase of their SAP program. Faster delivery lowers operational risk and moves enterprises to value realization sooner.

• Quality improvement: Built-in quality checks ensure consistency across code, functional specs, and documentation. Fewer errors mean fewer rounds of rework—a major drag in typical SAP deployments.

“BeMind by BearingPoint is built on a robust, enterprise-grade architecture,” said Matthias Roeser, Global Leader Technology at BearingPoint. He highlighted the platform’s ability to tailor automation to specific client landscapes while maintaining security and scalability—two critical factors for global SAP environments.

Redefining SAP Transformation Standards

SAP transformations traditionally hinge on manual coordination, complex process mapping, and lengthy development cycles. BeMind reflects a broader industry trend: AI is beginning to take on the repetitive, documentation-heavy workload that slows major IT programs.

What differentiates BearingPoint’s approach is the unification of these AI capabilities into a single delivery platform supported by consultants already familiar with the complexity of SAP environments. The result is a scalable model that can be replicated across global clients—a key advantage as organizations race to modernize legacy systems and move to S/4HANA before SAP’s upcoming deadlines.

With proven gains already demonstrated, BeMind signals a decisive turn in how enterprise technology programs may be executed going forward. Faster, more precise delivery—supported by AI and governed by human expertise—may soon become the baseline expectation.

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