Elevate Your Brand. Showcase Your Innovation

Margarita Barysheva joined Stream Security as the company’s first Customer Success hire. There was no function, no playbook, no inherited customer relationships, and no team. Her customers were CISOs, Directors of Security, and SecOps leaders — one of the most demanding and least forgiving buyer groups in enterprise technology. She built everything from that starting point.
Two years later, Stream Security’s CS and Support function is a structured, measurable organization with clear processes, defined renewal and upsell motions, and a team Barysheva hired, onboarded, and developed herself. The outcomes are specific: 114% net revenue retention in 2024, a CSAT score of 9.65 out of 10, and churn below 8% — a figure that stands out sharply for a SaaS startup operating in a competitive, technically complex market where customers leave quickly if they fail to see value early.
The 114% NRR figure deserves particular attention. It means existing customers expanded their spend faster than any revenue was lost — a result that came directly from a renewal process and upsell motion Barysheva designed and owned end to end, including the commercial conversations. For a founding CS hire with no senior support and no existing infrastructure, that is an unusually clean outcome.
The external recognition adds a layer of validation that goes beyond company metrics. In 2024, she was named to the Top 100 Customer Success Strategists list by SuccessCoach/CShacker. In 2025, she received the Customer Success Rising Star award from Customer Success Collective — one of five recipients globally, alongside professionals from Cisco and Salesforce. In 2026, she was nominated for the Top 100 Customer Lead Growth award. Three consecutive years of peer and industry recognition across different programs is a consistent signal, not a one-time result.
Beyond Stream Security, Barysheva published a practical framework for building CS from scratch in Customer Success Collective, contributed to CS Insider, and spoke at Jumpin and Gvahim — including a panel on tech careers for new immigrants. The work she does inside her company and the knowledge she shares outside of it reflect the same orientation: substance over positioning, outcomes over process theater.
Building a Customer Success function from zero inside a Series B cybersecurity startup, with a technical enterprise buyer group, and delivering 114% NRR and a 9.65 CSAT while doing it — that is what this recognition is for.

Nikita Tyryshkin is Head of Marketing at Brand Motors (AB-Tyres LLC) and the author of a six-step methodology for building B2B brands in the industrial sector — a framework he developed, tested, and validated through one of the more striking commercial turnarounds in Russian industrial equipment marketing in recent years.
The methodology emerged from a real crisis. When Brand Motors lost its previous dealer contract, the company needed more than a marketing campaign — it needed a brand that could stand on its own in a market where most competitors operate without one. Tyryshkin’s response was to build Worker: a brand for compact special-purpose machinery, developed from scratch using his proprietary framework and registered across six countries — Russia, the United States, China, Kazakhstan, Uzbekistan, and Indonesia.
The six steps — problem definition, systematic research, strategic focus, brand construction, integration into business processes, and ongoing management — form a closed cycle rather than a linear checklist. Each step produces a measurable output and a written artifact that feeds directly into the next stage. The result is a replicable process, not a one-time creative exercise, which is what makes it a methodology rather than a project.
The commercial outcome was unambiguous. Company revenue grew from 203.8 million rubles in 2021, when Tyryshkin joined as a marketer, to 862.7 million rubles in 2023 following the full development and launch of the Worker brand — a roughly fourfold increase. The client roster that came with it reflects the brand’s credibility across sectors: developer Samolet, retailers FixPrice and Lenta, the Mega shopping center network, manufacturers Norоvskoye Moloko, Megaplast, and Dashkova, and extractive industry operators TransOil and multiple quarry operators.
Tyryshkin’s work sits at the intersection of academic rigor and hands-on execution — he holds a Master’s degree in Management, has published academic articles on the subject, and is currently developing the methodology into a full book. His membership in ECDMA, the Guild of Marketers, and the Ya-Lider association reflects a commitment to the professional community that runs alongside the practical work.
Worker is what B2B brand-building in industrial markets looks like when it is done systematically. That is the case this recognition is built on.

MarketProvider is a product information management platform built for the operational realities of modern e-commerce: multiple sales channels, large and growing product catalogs, distributed teams, and the constant pressure to get accurate content live faster than competitors. Its core proposition is straightforward — a single source of truth for all product data, with automated distribution to every channel that needs it.
The platform combines PIM, DAM, syndication, and market monitoring into one integrated system. Product attributes, descriptions, specifications, translations, and media assets are managed centrally, with role-based access and full version control. When something changes, it changes once — and updates propagate automatically across marketplaces, online stores, retail media platforms, and partner channels. For teams managing thousands of SKUs across multiple markets, the difference between that and manual updating is not incremental; it is structural.
The results MarketProvider’s clients report reflect that structural difference. Average ROI in the first year reaches 300%. Errors in product listings fall by 90%. Time to market for new products accelerates fourfold. Manual content management tasks decrease by half. These are not marginal efficiency gains — they are the kind of numbers that change how a business thinks about content operations as a function.
The client roster confirms that the platform performs at the top end of the market. LEGO, Mattel, Spin Master, Chicco, and Haleon are among the brands that have chosen MarketProvider for content creation, distribution, and infographic production — in several cases for five years or more. When global consumer goods manufacturers with strict brand standards and complex distribution networks maintain long-term partnerships with a platform provider, it is a reliable signal of both capability and reliability.
MarketProvider’s RADAR module adds competitive intelligence to the operational stack — tracking prices, availability, and listing changes across sales channels, detecting content discrepancies, and surfacing positioning drops before they become revenue problems. The STUDIO module automates the generation of PDF catalogs, commercial proposals, and infographics directly from PIM data, eliminating manual layout work for large SKU volumes entirely.
In a market where product data quality increasingly determines digital shelf performance, MarketProvider has built the infrastructure that serious e-commerce operations need to compete consistently.

Vladyslav Havryliuk is the founder and CEO of V.J.Coffee, a coffee shop chain he built from scratch in Vinnytsia, Ukraine, starting in 2019. Over seven years, he grew it to five operating locations with a hybrid to-go and dine-in format, a net profit margin of 30–35%, and annual revenue of approximately 10 million UAH across the network.
That growth happened entirely through a period that tested every assumption a business owner could have. COVID-19 restrictions, a full-scale war, sustained power outages, and the permanent background of economic uncertainty in wartime Ukraine — V.J.Coffee operated through all of it, without stopping and without losing its margins.
What made that possible was not luck or a particularly forgiving market. It was a management model that Havryliuk built deliberately from the beginning: standardized preparation processes, a consistent service format, structured staff training, quality control across all locations, and a management layer that allowed him to step back from daily operations without losing control. When crises arrived, the system had enough structure to adapt — changing formats, cutting costs, implementing autonomous operation at individual locations — without the whole thing coming apart.
Havryliuk’s own framing of what he built is worth noting. He describes the turning point not as a revenue milestone, but as the moment a business stops depending on its owner for every decision. V.J.Coffee reached that point, which is why it survived what many similar businesses in the region did not.
The results today: five stable locations, a reproducible operational model, a government grant of approximately 250,000 UAH in recognition of the project’s viability, and employment across all five sites. Two additional locations are in planning for 2026.
In a market where most coffee shop closures come not from bad coffee but from absent systems, V.J.Coffee is a case study in what disciplined, owner-led management can sustain.

Yana Kuzina is a Marketing Manager at LeadingAge PA, working at the intersection of digital performance marketing and one of the most underfunded, understaffed sectors in American healthcare: nonprofit aging services. Over the past two years, she took a traditional workforce awareness campaign and rebuilt it into a data-driven recruitment infrastructure that now delivers measurable results at a fraction of its original cost.
The context matters. Across the United States, approximately 94% of Area Agencies on Aging report increased demand for services, while workforce instability remains persistently high — nearly one in five direct-care workers leaves within their first year. Conventional marketing approaches had proven insufficient. Kuzina’s response was to redesign the entire system.
The Careers to Love PA initiative, which she leads, connects mission-driven job seekers with nonprofit employers across Pennsylvania through a full-funnel, multi-channel digital ecosystem. Google Search Ads serve as the primary high-intent conversion driver. Paid social across Facebook, Instagram, LinkedIn, and TikTok handles engagement and retargeting. Video content supports storytelling. CRM tracking, cross-channel attribution modeling, and conversion path analysis provide the data layer that makes continuous optimization possible.
The year-over-year comparison between 2023 and 2024 is where the strategic shift becomes visible. Impressions dropped by roughly 50% — a deliberate reduction in low-intent reach. Website sessions rose 35%. Conversions grew 63%, from 2,054 to 3,340. The conversion rate improved from 7.12% to 8.58%. Total media spend fell 23%, from $41,600 to $32,000. More results, better quality, lower cost — all three moving in the right direction simultaneously.
That combination is what distinguishes Kuzina’s work from standard campaign management. The 2024 initiative was not a refinement of 2023’s approach — it was a strategic rebuild around precision targeting and funnel efficiency, with volume deliberately sacrificed in favor of qualification. The outcome validated the logic entirely.
LeadingAge PA formally recognized the initiative as a model for workforce innovation, crediting Kuzina by name for the 60% increase in qualified job seekers delivered to member organizations in 2024. For a nonprofit operating with limited resources in a sector under sustained pressure, that recognition reflects the kind of operational impact that goes well beyond marketing metrics.

Yelena Kovalenko is a performance marketing strategist based in Kazakhstan, working across international markets with a focus on one specific problem: turning fragmented marketing activity into revenue systems that produce predictable, measurable results. Over 300+ projects, that focus has produced a body of work that is unusually consistent in its commercial orientation.

The clearest single demonstration of her methodology is a project in Dubai’s beauty market — one of the more unforgiving environments for customer acquisition, where the combination of high competition, premium pricing, and sophisticated consumers makes cost-efficient lead generation genuinely difficult. Kovalenko built a full-funnel system from the ground up: Meta Ads structured for lead quality rather than volume, quiz-based funnels to pre-qualify users before they entered the conversion flow, WhatsApp communication sequences designed to move leads from interest to confirmed booking with minimal friction, and CRM tracking through Altegio to maintain full visibility from first click to completed sale.

The outcomes were concrete. Over 1,685 completed client conversions. Total attributed revenue of 766,410 AED. An average ticket of 528.93 AED in a premium segment. Cost per acquisition held between approximately $3 and $6 throughout — cost-efficient by any standard, exceptional for the Dubai beauty market specifically.

What the numbers reflect is an architectural approach to marketing rather than a campaign-by-campaign one. Kovalenko’s systems are built to be measured at every stage and optimized continuously — not against advertising metrics, but against revenue, conversion rate, and customer acquisition cost. The distinction matters because it changes what gets optimized and what gets reported to clients.

The external recognition around this work is consistent with the results. Gold at the Titan Awards for Marketer of the Year in 2026. Silver at the Vega Digital Awards for Marketing Effectiveness in 2025. A judging role at the Globee Awards. Annual Meta certifications maintained throughout. Three consecutive years of peer recognition from different programs, across different criteria.

Yelena Kozubskaya is recognized for one of the most consequential digital commerce transformations in Central Asia — leading the rebuild of a full-scale consumer brand and digital ecosystem following the exit of McDonald’s from Kazakhstan.

When the business relaunched under the national identity I’M Restaurants, Yelena was at the center of everything that made it work commercially: the mobile app, the loyalty platform, performance media, delivery partnerships, and the CRM infrastructure that turned a disrupted customer base into an engaged, growing one.

The results speak plainly. App orders grew nearly five times between September 2025 and January 2026. Sales rose 45% year-over-year following the rebrand. Delivery orders expanded by close to 500% between 2023 and 2024. Within six months of relaunch, I’M Restaurants reached second place for top-of-mind awareness among all QSR brands in the country.

What made this possible was how Yelena approached the challenge — not as a sequence of marketing functions to execute, but as a single growth system to design and run. Brand building, first-party data, lifecycle automation, media, and partnerships were developed together, calibrated against each other, and measured against commercial outcomes.

For Central Asia, this is a benchmark case. Very few businesses in the region have replaced a globally recognized brand with a local identity and come out on the other side with stronger sales, higher digital adoption, and deeper customer relationships. Yelena Kozubskaya is a central reason this one did.

Sergei Voronin is a researcher, practitioner, and institutional builder whose work sits at the point where artificial intelligence meets the operational realities of digital commerce, financial systems, and enterprise fraud prevention. Over a career spanning 15 years and multiple organizational roles, he has moved consistently from theory to production — publishing the methodology, then deploying the system, then certifying the professionals who maintain it.
The clearest illustration of that pattern is his CNN-based Signature Detection and Document Verification system, deployed in production at AO Expobank and integrated into the workflows of more than ten partner organizations. The system now underpins over 3,000 court-admissible decisions, replacing subjective expert opinion with mathematically auditable classification. At ANO CPSE — a 65-staff forensic laboratory producing more than 30,000 expert opinions per year — the AI-orchestrated workflow Voronin designed delivered a 70% reduction in turnaround time. That is a transformation outcome measured in organizational throughput, not a pilot project.
His work on counterparty due diligence extends the same logic into B2B digital commerce. His peer-reviewed OSINT methodology for automated counterparty verification, published in a VAK RF journal in 2025, describes an end-to-end pipeline already in use by financial and e-commerce operators verifying business partners at scale. That methodology is now being converted into Smart Control, a B2B SaaS platform targeting the U.S. market — serving procurement teams, FinTech operators, and online marketplace platforms that need reliable, scalable counterparty screening built into their workflows.
The academic output backing this work is substantial: 42 peer-reviewed publications, an h-index of 7, nine registered software programs, a Russian patent in active commercial deployment across eleven organizations, and three USPTO provisional patents filed in 2025–2026. His monograph Smart Technologies as a Foundation for Project Development was translated into six languages and recognized as a laureate at the 38th Moscow International Book Fair. He serves as a reviewer for Expert Systems With Applications, an Elsevier Q1 journal with an impact factor above 8, having completed 15 manuscript reviews covering machine learning, computer vision, and anomaly detection directly applicable to e-commerce platforms.
As Rector of the National Scientific Research Institute in Moscow, Voronin also built the institutional infrastructure around this work — founding a Rosstandart-registered voluntary certification system for digital forensic and AI specialists, supervising more than 1,000 expert certifications, and authoring the curriculum through which that knowledge is transmitted.
What distinguishes Voronin’s profile is the absence of a gap between research and deployment. The AI systems he describes in peer-reviewed papers are running in production. The methodology published in academic journals is the same one being productized into SaaS. That coherence — from concept to certification to commercial application — is what this recognition reflects.

Omnisend is a marketing automation platform built from the ground up for ecommerce — not adapted from a generic tool, not retrofitted with commerce features as an afterthought. That distinction matters, and the numbers behind 150,000 brands using it suggest the market has noticed.
The platform brings email, SMS, and web push notifications together in a single dashboard, with automation built around how ecommerce actually works: cart recovery, welcome sequences, post-purchase flows, lifecycle messaging. Merchants using Omnisend generate an average of $79 in revenue for every dollar spent — up from $68 the previous year.
What earned Omnisend this recognition in 2026 is the quality and direction of its product development. Over the past few years, the team has systematically embedded AI across the platform — not as a feature to market, but as a practical layer that removes friction. Marketers can build audience segments by describing customer behavior in plain language. Predictive tools surface customers likely to churn or those with the highest long-term value. Automations and campaign workflows are suggested based on actual business patterns rather than left entirely to manual configuration.
None of this requires a technical team to operate. That is arguably Omnisend’s defining quality: functionality that would typically demand specialist knowledge sits inside an interface that doesn’t. For the ecommerce brands — many of them small and mid-sized — running campaigns across email, paid channels, SEO, and social simultaneously, that balance is worth a great deal.
The company is bootstrapped, which means product decisions trace directly back to customer feedback rather than investor priorities. In 2025 alone, the team ran over 1,300 customer interviews and drew on data from more than 27 billion emails to shape what got built next.
The Dukier case captures what this looks like in practice. A Madrid-based pet accessories brand moved from undifferentiated mass email to fully segmented, localized, automated campaigns across five European markets. Revenue generated through Omnisend grew 525% over three years. Automated messages alone drove 55% of that figure.

Kseniia Levchenko is a marketing and advertising strategist with 18 years of senior leadership experience across global brands, holding roles including Head of Marketing and Advertising and Marketing Director. Her career spans go-to-market strategy, product launches, event campaigns, and brand development — with a particular focus on integrating AI-driven methodologies into traditional advertising evaluation frameworks.
Her academic grounding in economics and public relations has informed an approach to marketing that treats measurement and analytics as central rather than supplementary. The methodologies she has introduced across her career — combining advanced AI techniques with established evaluation methods — have been credited with helping multiple organizations reach profitability and establish durable market positions.
Industry recognition has followed consistently. Gold and Silver awards in the Mazda Dealer Cup reflect her ability to deliver measurable commercial impact within demanding, results-oriented environments. In 2024, USA Wire named her to its list of 40 Marketing Trailblazers Shaping the Industry’s Future — a recognition that places her alongside professionals redefining how brands connect with audiences in an increasingly complex digital landscape. She also serves on the shortlist jury for the New York Festivals, one of the most respected creative advertising competitions globally, bringing her strategic perspective to the evaluation of work that pushes the boundaries of the craft.
Alongside her professional practice, Levchenko contributes to the academic community as a published author of scientific articles on marketing — reflecting a commitment to knowledge-building that extends beyond client work and industry awards.
Across 18 years, the throughline in her career has been the same: rigorous strategy, measurable outcomes, and a willingness to introduce new methodologies where existing ones fall short.

Niki Aghaei is a Staff Product Manager with a career built across some of the most demanding operational environments in global retail and technology — Walmart, Apple, Deloitte, and high-growth startup contexts. Her work sits at the intersection of product strategy, enterprise transformation, and digital commerce at scale, and it is that combination that defines what makes her profile exceptional.
At the core of her work is a problem that most large organizations struggle with: how to modernize legacy operational infrastructure without disrupting the business running on top of it. Aghaei has done this repeatedly, leading initiatives that touched digital commerce platforms, marketplace ecosystems, forecasting and analytics systems, workflow automation, and enterprise reporting — all within organizations serving millions of customers across North America.
What distinguishes her approach is the refusal to treat product management and operational transformation as separate disciplines. The initiatives she led required technical implementation, but equally demanded organizational alignment, executive stakeholder management, and the kind of systems thinking that accounts for how changes ripple across engineering, analytics, finance, and operations simultaneously. She operated across all of those layers, not just one.
The outcomes were concrete: enterprise software implementations successfully rolled out across multiple business functions and sites, measurably improved forecasting accuracy and operational visibility, legacy workflows modernized to reduce inefficiency and improve scalability, and cross-functional teams aligned around shared product and data infrastructure. The initiatives contributed to multi-million-dollar growth efforts tied to retail platform expansion and product launches.
At Walmart, this meant improving the digital commerce and marketplace platforms that underpin high-volume customer operations at genuine enterprise scale. The work was never about a single product feature — it was about building the operational and data foundations that allow large retail organizations to make better decisions faster and serve customers more consistently.
Aghaei’s methodology throughout — agile roadmap planning, KPI-driven prioritization, customer journey analysis, scalable systems design — reflects a product discipline that is as rigorous at the strategic level as it is at the execution level. That combination, applied consistently across organizations of this complexity, is what this recognition reflects.

Vladyslav Ielisevych is 24 years old. By most meaningful measures of e-commerce performance, he is already operating in the top 1% of Amazon Marketplace sellers — a distinction that takes most professionals a decade to reach, if they reach it at all.
Born in Ukraine and building his business in the United States, Ielisevych founded a wholesale e-commerce operation focused on brand-direct partnerships and authorized distribution channels within the American market. The growth trajectory is straightforward and striking: $146,853 in total sales in 2023, $571,963 in 2024, and $1.07 million in 2025 — 31,444 units sold across major online marketplaces in a single year. That is not a gradual climb; it is a sustained acceleration that significantly outpaces standard industry growth benchmarks.
The business model he built is deliberately structured around legitimate, scalable foundations: direct relationships with American brands, authorized distribution, and operational systems designed to handle volume without losing precision. Sourcing, inventory management, and marketplace execution are continuously refined against data rather than intuition. The result is a business that grew sevenfold in two years without the structural fragility that often accompanies rapid scaling.
What makes Ielisevych’s profile notable beyond the revenue figures is the seriousness with which he engages the broader professional ecosystem. He attends and participates in leading industry events — the Miami Sellers Conference, Sellers United, the Walmart Seller Summit — not as a spectator but as someone actively contributing to knowledge exchange within the seller community.
At 24, with a seven-figure business, a scalable model, and a clear professional orientation, Ielisevych represents something the e-commerce industry genuinely needs more of: a young entrepreneur who built the right way, fast.

Elina Kazankova is a photographer, videographer, and content creator working at the intersection of travel and luxury hospitality — a space where the visual standard is exceptionally high and the margin for error is essentially zero. Her client list reflects where that standard has taken her: Four Seasons, Ritz-Carlton, Hyatt, Marriott, Hilton, Tivoli, alongside lifestyle brands including Maker’s Mark, American Eagle, CALIA, Cozy Earth, and Monos.
What makes her profile unusual is not the client roster but how she serves it. Kazankova handles the entire production cycle herself — photography, videography, drone operation, post-production, and copywriting — without models, assistants, or a production crew. For brands with strict visual guidelines and limited windows for on-property shoots, that combination of creative control and logistical self-sufficiency is genuinely rare.
The numbers behind her Instagram channel are equally difficult to ignore. Between 2,000,000 and 2,500,000 video views per month, with peaks reaching 3.5 million and individual pieces of content accumulating the same figure. This from an account of 34,000 followers — a ratio that reflects the kind of content performance that algorithms and brand media buyers both pay close attention to.
The 2024 Ritz-Carlton Maui Kapalua campaign captures what this looks like in practice. A three-day shoot window, difficult weather, drone permits secured independently, and a final body of work that reached over 125,000 views — well beyond standard benchmarks for a creator at her follower count. The hotel redistributed her content across their own channels and invited her back for future work. That outcome — a luxury brand reusing creator content and returning for more — is one of the cleaner signals of professional quality available in this industry.
Kazankova’s audience is primarily U.S.-based travel enthusiasts, which is precisely the demographic that global hospitality brands need to reach. The consistency of her engagement, the independence of her production model, and the caliber of the brands that keep choosing her make a straightforward case for this recognition.