Keeping Humans in the Loop: How Adora Is Turning AI Into a True Performance Engine for Marketers

marketing 7 Apr 2026

You’re stepping into the VP of Revenue role at Adora at a time when AI is rapidly reshaping marketing. What about Adora’s approach convinced you this was the right moment to make the move?

Almost every CMO today is being asked by their CEO how they're leveraging AI both now and in the future. What drew me to Adora is that we give marketers a genuine answer to that question without asking them to abandon what's already working. Adora preserves the marketer's control over performance measurement and brand integrity, while enhancing creative generation and execution to help brands sell more products, more efficiently. It's a tangible, low-disruption path to realizing the benefits of AI and that's a compelling story in a market full of noise.

Many platforms claim to use AI for performance marketing, how does Adora’s model actually give brands more direct control over outcomes, rather than abstracting decision-making away from them?

The key distinction is that Adora keeps the human in the loop by design. Brands retain the ability to approve or reject anything our AI produces, and they define the rules of what success looks like. That combination human intent guiding machine execution is still enormously powerful. AI doesn't replace the marketer's judgment; it amplifies it.

Creative is increasingly being talked about as the primary driver of performance, how is Adora operationalizing creative as a true performance lever rather than just a brand asset?

It starts with being precise about what you want the creative to do. If the goal is a click, the creative needs a reason to compel action an offer, a product launch, a limited-time moment. If the goal is brand awareness, the brief looks completely different. Adora helps brands connect creative decisions directly to business objectives, so every asset is built with a measurable outcome in mind, not just aesthetics.

As AI-driven automation increases, where do you see the balance between human strategy and machine-led execution evolving, particularly for brands focused on growth?

AI performs best when humans provide it with clear objectives and context. The world changes constantly, and AI can't yet anticipate the future on its own. When a brand knows a market shift is coming, or wants to get ahead of a change in consumer behavior, the ability to feed that strategic context into the machine is where the real competitive advantage lies. The brands that win will be the ones who treat AI as a highly capable partner not an autopilot.

From a revenue and go-to-market perspective, what are you prioritizing in your first 6–12 months to scale adoption and demonstrate real business impact for advertisers?

Getting the fundamentals right. We have a clear vision at Adora for where we can genuinely move the needle for the industry, and staying disciplined about that focus is essential. AI is a broad category, and it's easy to get pulled toward solving problems that aren't core to what you're built for especially when early revenue is on the table. But we're building relationships with brands that we intend to last for decades, not months. That means setting them up for real, sustained success from day one, which ultimately sets Adora up for the same.

The Brands Winning Digital Growth Aren't Chasing Attention They're Building Habits

marketing 7 Apr 2026

Digital 100 U.S., Similarweb’s annual ranking of the fastest-growing websites and apps, points to something more structural happening beneath the surface. Across consumer categories, the brands with the most sustained momentum aren't necessarily the loudest ones. They're the ones that have quietly become indispensable.

Dependability Is the New Differentiator

Fashion & Apparel tells the story clearly. The category's standout performers, Comfrt (+330.2%), Editorialist (+246.3%), Quince (+138.5%), aren't built around trend cycles or flash sales. What they share is clarity: clear positioning on value, fit, and everyday relevance. They reduce the friction around the decision itself.

In a market where consumers are more intentional and more cost-conscious than they were three years ago, that kind of dependability is turning into a genuine growth engine. The brands that make it easy to say yes, and even easier to come back, are pulling away from those still chasing the next campaign spike.

Shopping Is Becoming a Tool, Not an Event

On mobile, the story gets more interesting. Overall app downloads in Fashion & Apparel actually fell year over year - yet Whering: Your Digital Closet, Depop, and LTK all posted significant gains. The through-line isn't category or aesthetic, it's function. Whering helps people get more out of what they already own. Depop turns the closet into a marketplace. LTK wraps commerce inside creator recommendations people already trust. They're not destinations you visit when you're in shopping mode. They're tools you reach for as part of an existing routine.

That pattern repeats across the Digital 100. In Beauty & Health, the fastest-growing apps are step counters, running trackers, and nutrition logs, habit-reinforcing by design. In Food, it's quick-service apps that make reordering feel like muscle memory. The platforms pulling ahead aren't interrupting daily life. They're threading themselves into it.

What Loyalty Actually Looks Like Now

For brand leaders, this reframes the question. The real growth metrics aren't just acquisition numbers. They're behavioral: How often do customers come back? How quickly? How much effort does it take them?

Traditional loyalty mechanics, points, discounts, limited-time offers, still have a role. But they're accelerants, not anchors. The deeper drivers are structural: frictionless checkout, preferences that persist, personalization that compounds over time, pricing transparency that builds trust before the first purchase ever happens.

Behavioral loyalty is a product of the experience itself. The second visit should feel easier than the first, and the third easier than the second. And the brands seeing durable growth are the ones engineering exactly that compression - quietly, systematically, visit by visit.

The Shift Worth Acting On

Retail strategy has long been organized around peaks: seasonal launches, promotional events, product drops. These still matter. But the Digital 100 makes clear that the brands accumulating the most durable digital advantage are doing something different in parallel. They're not optimizing for spikes. They're designing for patterns.

That requires a genuinely different kind of investment. Features that improve with use. Value made visible at every touchpoint, not just at the moment of sale. Digital experiences built not as funnels to be managed but as products to be continuously refined.

And perhaps most importantly: an honest reckoning with what friction costs. Every abandoned cart, every confusing size guide, every extra step in checkout is a reason not to return. In a market defined by choice overload and decision fatigue, convenience isn't a feature, it's a retention strategy.

The New Growth Edge

The brands growing fastest in the Digital 100 aren't doing it through hype cycles. They're doing it by making the next visit feel inevitable rather than effortful. Comfrt didn't grow 330% on the back of a single campaign. Depop didn't reach 5 million monthly active users by going viral once. These outcomes are the product of systems – digital experiences that make returning easier than starting over.

In an era of economic scrutiny and attention scarcity, that's the real competitive advantage. Not who captures the moment. Who becomes part of the routine.

Corporate Event Engagement Has a New Baseline

marketing 6 Apr 2026

When it comes to industry events, engagement used to mean attendees showing up, scanning their badge, and sitting through sessions. That bar has significantly elevated. Across industries, people arrive expecting events to feel relevant, interactive, engaging, personalized, and intentional. They also expect the experience to continue after they leave, with follow-up that reflects what they cared about, not a standard set of automated emails.

Two signals make the shift hard to ignore. Freeman found that 64% of attendees say immersive experiences are the most important element of the event experience. Meanwhile, research firm GitNux reports that 62% say personalized communication around events increases their loyalty. Immersion and personalization are not “nice to have” line items anymore. They are the standard people compare every event against, whether they are in healthcare, finance, manufacturing, or SaaS.

That’s why event technology hasn’t just evolved; it’s transformed. Today, event technology supports more than logistics. It links the attendee experience directly to revenue, retention, and growth.

Connected Experiences Need Connected Data

The biggest engagement gap today is not what happens on site. It’s the disconnect between the event and everything around it.

A single customer might register from an ad, attend two sessions, book a meeting, and spend fifteen minutes in a product workshop, only to receive a follow-up email that treats them like a total stranger. This erodes customer trust and wastes the richest signal available to most marketing teams, which is what actions a person took in real-time, when marketers had the chance to lean in. Ignoring a customer's real-time engagement is a significant oversight.

This is why event technology now sits at the center of the marketing and sales ecosystem. When event data lives on an island, it stays stuck as a recap deck and a lead list. When it is integrated with the rest of the martech stack, it becomes usable. It can trigger the right next message, route the right lead to the right team, and shape the next experience based on what worked.

Measurement changes too. Instead of debating whether an event “felt successful,” teams can see what content drove meetings, what sessions influenced the pipeline, which segments were engaged with most, and where drop-off happened. That clarity is what leaders want when budgets tighten. It is also what event teams need to defend investment and improve with each cycle.

Personalization is the bridge between engagement and outcomes. If 62% say personalized communication increases loyalty, the takeaway is simple. Follow-up should reflect what people actually engaged with. And the more connected the data, the easier that becomes.

Building Engaging Experiences

When attendees say they want immersion, they are not asking for more gimmicks. They are asking to feel pulled into something that makes sense for them. It might be a hands-on lab, a demo that solves a real problem, a roundtable with peers who share their challenges, or a guided personalized path through content that matches their role. The common thread is intention.

The problem is that intention is hard to scale when every event is built from scratch. Teams end up spending energy on rebuilding pages, emails, registration flows, session frameworks, and reporting, instead of spending that energy on improving the moments that matter.

This is where repeatability becomes a strategic advantage. When teams templatize what should stay consistent, like branding, key data capture, standard journeys, and core workflows, they buy time back. They can focus on the parts that should be dynamic, like audience-specific messaging, regional preferences, and the immersive elements that make each experience feel alive.

Having the foundation of a data strategy connected to the martech stack helps drive templatization into a reliable and standardized framework. This type of consistency and intentionality makes it easier to tie back to business goals and objectives.

Templates also protect the attendee experience. When registration and communications are familiar and frictionless, people spend less time figuring things out and more time engaging. Consistency does not have to mean sameness. Done right, it creates reliability that makes personalization easier, not harder.

Events Are Becoming the Most Measurable And Memorable Form of Human Connection

Engagement expectations are rising because people are overwhelmed with digital noise and increasingly protective of their time. They want immersive experiences that feel real, and they reward brands that communicate with relevance.

Modern event technology is what makes that possible at scale. It helps teams design connected experiences across the customer journey, standardize what should be repeatable, personalize what should be personal, and prove what worked. The organizations that win will be the ones that stop treating events as isolated moments and start treating them as measurable, connected experiences that build relationships and move the business forward.

The Emergence of Vibe Marketing

marketing 6 Apr 2026

https://adswerve.com/

Vibe Marketing is a new era of marketing shaped by generative AI creativity, speed, and intelligence enabling marketers and executives to automate marketing campaigns from client brief to concepts, campaigns to optimization.

The concept draws inspiration from the software engineering world, where “vibe coding” describes using natural language and AI-powered tools to accelerate development, especially for users who do not know how to code. In marketing, the idea is similar: generative AI allows teams to quickly create, test, and iterate on campaigns that once took weeks or months to produce. And, vibe marketing enables professionals with no marketing experience to create brilliant campaigns. AI removes the traditional barriers of production budgets, technical language requirements, and long lead times, allowing challenger brands to act with the speed of a startup and the production value and sophisticated analytics of a global leader.

Searches for “vibe marketing ”increased nearly 700% in the past year, and Forrester found that 50% of B2B marketing decision-makers are already experimenting with or currently using generative AI.

To make Vibe Marketing work, it requires human intellect and artificial intelligence working in concert to create an accurate and comprehensive data foundation, sophisticated modeling, generative audiences and creative production, and a scalable method for measuring impact. The result, authentic, relevant experiences that deliver real ROI.

Smarter decisions about audiences, channels, and creative experiences.

Vibe marketing is not about letting AI do everything; it’s about augmented intelligence where AI accelerates insights and recommendations, while humans act as the compass. According to a recent EMARKETER survey, about 91% of marketers called human involvement "critical" or "very important" in evaluating or generating AI-driven creative.

Vibe marketing enables marketers to act on subtle shifts in consumer sentiment that occur before a trend fully breaks. What a marketer needs is the ability to see how their audience’s engagement changes before their conversion patterns change.

By analyzing unstructured data with the right queries and dashboards through tools like BigQuery, AI can surface those contextual signals and build “intent cohorts” automatically, simply prompting humans for approvals. When these insights are paired with Looker Dashboards or Adobe Customer Journey Analytics (CJA), marketers gain the ability to see the "why" behind these shifts in real-time, allowing them to instantly how their AI models have bridged the gap between raw data and a live customer experience faster and frictionlessly.

Clustering users by intent cohorts and understanding the why behind their structure then makes it easier for marketers to allow AI tools to create personalized, dynamic content. A strong data foundation ensures that their "vibe" is backed by the reality of what their audience actually wants not just today, but tomorrow, too.

Test cultural resonance before you spend

Vibe marketing can also help balance the tension between speed and effectiveness. By creating digital twins of intent cohorts, marketers can simulate how specific personas might react to new creative directions in seconds rather than weeks. This allows companies to test and optimize campaigns in a sandbox environment, ensuring that they scale with the strongest, most authentic content.

Measure what actually moves the needle

The final piece of the puzzle is measurement. Because vibe marketing often triggers rapid content shifts across multiple channels, a linear funnel view won't cut it.

For a truly holistic view, practitioners are increasingly turning to marketing mix modeling (MMM) with tools like Google Meridian. Meridian’s near-real-time calibration capability means you can use it to sense channel efficiency shifts as cultural moments occur, not six weeks later. For marketers making fast creative decisions, knowing in near-real-time that connected TV (CTV) is outperforming paid social this week changes where you put the next dollar.

Coordinate the entire stack for speed

The "possible" outcomes of vibe marketing are only achievable if martech and adtech stacks are properly integrated and flexible enough to handle real-time shifts. In 2026, the focus has shifted from simple automation to autonomous, intelligent systems that empower marketers to move from being task-doers to strategic thinkers.

A successful agentic engine requires a seamless loop:

Ingest and aggregate: Centralize your web and app data into a warehouse like Google Cloud to get a clear view of your marketplace coverage.
Analyze and cluster: Use machine learning models to identify high-propensity intent cohorts across BigQuery or Adobe Customer Journey Analytics.
Synthesize and QA: Use generative AI to iterate with multiple creative variations, using humans as the final quality check for brand safety.
Activate and attribute: Serve dynamic content and use closed-loop attribution to feed results back into the model.

Drive smarter decisions and faster execution

Vibe marketing is an incredible opportunity to connect with audiences on a human level while scaling your marketing team’s productivity. But most marketers are stuck somewhere in between understanding the “possible” and not knowing how to achieve it because their adtech and martech tools are configured for the world that existed two years ago. The technical foundation is the key to turning these "vibes" into a true marketing engine.

NRF 2026: Biggest Takeaways for B2B Marketers to Stand Out Amongst a Sea of Tradeshow Vendors

marketing 6 Apr 2026

NRF has always offered a collaborative space for retailers, technology providers, and enterprise decision makers alike, and this year was no different. While new ideas, exciting partnerships, and big purchasing decisions often begin at the annual event in January, just one, high-impact moment isn’t enough to build lasting relationships in today’s experiential environment.

While flashy exhibits turn heads, espresso martinis draw a crowd, and the smell of freshly popped buttery popcorn certainly helps attract booth traffic, the standouts now are those building community, personalizing engagement across the full event lifecycle, and reinforcing their activations with integrated technology that provides actionable data.

NRF creates the blueprint for how marketers and brands can connect one-time engagements directly to long-term, measurable business outcomes and deeper customer relations, backed by technology solutions.

NRF as an Industry Ecosystem

NRF illustrates how a trade show can function as a year-round industry ecosystem, rather than a one-time activation. While the show happens across only three days, its ongoing virtual sessions, in-person meetups, and other available gatherings around the world extend meaningful dialogues beyond the show floor. This sustained engagement creates a common platform where relationships deepen, and ideas evolve over time.

This year’s NRF delivered on its theme of “The Next Now.” The focus was preparing retailers for the future that is unfolding around agentic AI, human-centered experiences, unified experiences, the physical transcending to experiential hubs, and insights.

Because NRF convenes retailers alongside tech providers and other partners, conversations also naturally reflect the interconnected nature of the retail industry today. The activations that resonated most this year were not isolated product showcases, but those that acknowledged the broader landscape and positioned brand narratives and offerings as contributors to an ongoing industry conversation. By embracing this ecosystem mindset, marketers and brands can better signal relevance, credibility, and long-term commitment.

Community as Competitive Differentiator

In a crowded exhibition center stacked with immersive activations and flashy AI tools, attendees this year gravitated toward experiences that offered true substance. The most effective activations weren’t the largest, they were the most intentional.

Brands that hosted smaller group discussions, curated demos, and targeted networking sessions, created space for practical conversations around shared challenges. These interactions inspired more valuable engagement and positioned companies as true partners versus one-time vendors.

For example, brand booths this year tapped cultural touchpoints, with several exhibitors incorporating World Cup fan zones or sports activations such as SAP’s tennis and pickleball themes, and HP/Intel’s sports jersey displays, to draw attention and create immersive physical spaces. These activations worked because they tapped into passions attendees already share like sports, competition, and global events, creating natural gathering points on the show floor. Instead of simply drawing foot traffic, they gave strangers an easier entry into conversation.

The takeaway from NRF 2026 is clear: foot traffic is no longer the primary measure of success. Meaningful dialogue and sustained connection are what differentiate brands, and what can turn event moments into lasting business relationships.

From Ecosystem Engagement to Sustained Momentum with AI

As conferences and trade shows surge back to pre-pandemic scale, the pressure is on to create experiences that are more personalized than ever. But the real question remains: how can marketers implement NRF’s sustained ecosystem and community-based approaches at the same time? The answer lies in technology and data-backed strategies.

By leveraging AI, teams can look beyond isolated actions from one event like booth traffic, engagement metrics, or survey feedback, to understand how attendee experiences impact future pipeline, revenue, and relationships. Traditionally, marketers have relied on surface-level metrics such as number of booth visits, but counting vanity metrics falls short when it comes to understanding how touchpoints over time, or your brand’s ‘ecosystem,’ is influencing business impact.

AI can also boost personalization at the event itself, further inspiring the community-based approach that NRF excels in. While conventional AI relies on human input, AI agents, for example, act independently, functioning as a real-time ‘concierges’ that can tailor suggestions at an event based on user behavior and demographics. This can help to put like-minded attendees in the same group or same session, sparking conversations and insightful discussions. With Gartner projecting that 40% of enterprise applications will include task-specific AI agents by the end of 2026, personalization is becoming embedded and expected infrastructure in events.

Overall, in 2026, high-impact events will be defined by their ability to operate as connected ecosystems powered by integrated data and AI, converting engagement into sustained momentum, rather than isolated activity.

How Deniz Gezgin Is Positioning Eightpoint at the Center of Native’s Evolution

marketing 2 Apr 2026

1. How has the adoption of native direct deals influenced your ability to reach target audiences?

At Eightpoint, native direct deals have fundamentally shifted us from distribution-driven monetization to intent-driven monetization.

Because we control high-frequency user touchpoints—browsers, launchers, and utility apps—we’re not just aggregating traffic, we’re capturing real-time behavioral intent signals at scale, particularly within the U.S. market.

Native direct deals allow us to activate those signals in a way that’s far more precise than traditional ad models. Instead of selling impressions, we’re enabling partners to engage users in context, at the moment of need, which significantly improves performance.

We’re already seeing native direct deals outperform traditional channels because they’re built on first-party behavioral data rather than inferred audience segments.

The result is simple: higher-quality engagement for advertisers, and a better, more relevant experience for users

2. What challenges have you faced integrating native direct deals?

The biggest challenge isn’t technical—it’s maintaining product integrity while scaling monetization.

At Eightpoint, we operate under a strict product-first philosophy. Our platforms are daily-use utilities, so any monetization layer has to feel native not just in format, but in function and timing.

This requires:

- Tight alignment between product, data, and partnerships

- Real-time decisioning infrastructure

- Continuous experimentation to balance revenue vs. user experience

The companies that struggle with native are treating it as an ad unit.

We treat it as a product layer—and that requires a very different level of discipline.

3. How do you evaluate advertising partners?

We look for partners who understand that performance comes from context, not just targeting.

Our evaluation framework is centered around three things:

- Data sophistication – Can they leverage intent signals, not just demographics?

- Optimization capability – Are they actively iterating based on performance?

- Transparency – Do they operate with clear, measurable KPIs?

The best partners don’t just run campaigns—they co-develop monetization strategies with us, adapting to how users actually behave inside our products.

That level of alignment is what drives long-term value on both sides.

4. How do you ensure native ads reach high-intent users?

Our advantage is structural

Unlike traditional publishers, our users are actively doing something—searching, navigating, organizing, or consuming utility-driven content. That creates a continuous stream of high-signal intent data.

We use that to:

- Identify moments of peak intent

- Match relevant commercial experiences to those moments

- Continuously refine placement and timing through data feedback loop

It’s less about serving ads and more about intercepting intent at the right moment.

When you get that right, engagement and conversion follow naturally.

5. How does native advertising fit into your broader strategy?

Native advertising is not a standalone revenue stream for us—it’s part of a broader ecosystem strategy.

Our goal is to build products that users engage with daily, and then layer in monetization in a way that:

- Enhances the experience

- Increases lifetime value per user

- Strengthens partner relationships

Because we control both the user experience and the data layer, native becomes a strategic advantage—not just a monetization tactic.

Over time, this allows us to move from transactional ad relationships to long-term, high-value partnerships

6. What role do native deals play long-term given demand for authenticity?

The industry is moving away from interruption-based advertising toward experience-integrated monetization.

Native direct deals are a key part of that shift—but they will evolve significantly.

The future isn’t just native placement—it’s:

- Personalized, AI-driven experiences

- Dynamic content that adapts to user behavior in real time

- Deeper integrations between brands and product ecosystems

At Eightpoint, we see native deals becoming more like product partnerships than ad buys.

The companies that win in this next phase will be the ones that can combine strong product surfaces, deep user data, and intelligent monetization layers.

That’s where we’re focused.

Eightpoint website: https://eightpoint.io
Deniz’s LinkedIn profile: https://www.linkedin.com/in/denizgezgin/

Scaling Content Smarter: How Floyi Leverages Topical Maps and AI Briefs

marketing 31 Mar 2026

1. What challenges have you encountered in scaling content operations while maintaining alignment with brand voice, audience relevance, and search visibility?

Back in our agency days and while working on our own content sites, we ran into the same issues over and over. Strategy looked good on paper, but the content that went live often missed the mark. We struggled to align voice, audience intent, and SEO in a way that scaled.

That’s when we started building internal processes to manage everything - from persona clarity to keyword targeting to content structure. But the real shift happened when we introduced topical maps into the mix. Looking back, they should have been the first step. Topical maps now sit at the core of everything we do. They give us visibility, direction, and control before a single word gets written.

2. How do you currently leverage SERP analysis and competitor benchmarking to inform your digital content roadmap?

We rely on live SERPs and AIRS (AI ResultS) from platforms like ChatGPT, Google AI Overviews, and Perplexity. We analyze what’s ranking in the traditional search engine, what’s being cited in AI search engines, and how those overlap or diverge. That includes structure, tone, content type, and gaps in coverage. We look beyond who’s ranking and study how they’re ranking.

This dual-layer insight shapes every roadmap, brief, and internal link strategy we use. These workflows began as internal processes, and we’ve since built them into Floyi.

3. How important is reducing time-to-publish in your content strategy, and what tools or processes have you implemented to accelerate ideation and brief creation?

Reducing time-to-publish is a key priority for us. Especially when managing multiple campaigns or clients, the delays between research and execution used to kill momentum. So we started building tools to automate the bottlenecks. We pulled SERP data, analyzed competitors, integrated brand and persona inputs, and generated structured briefs.

That system cut our research time dramatically and eliminated back-and-forth cycles. We later realized other teams needed it too. That’s how Floyi was born. We turned the internal tools we built to speed up our own workflows into something others could use too.

4. What systems do you have in place to ensure that your content briefs are consistent, actionable, and aligned with both SEO goals and user intent?

Every brief we create includes specific data points: search intent, buyer stage, content type, point of view, tone, internal link prompts, and a list of keywords and entities. These are drawn from real-time SERPs and AIRS, so they’re grounded in both what search engines rank and what AI models surface.

What started as a set of Google Sheets, multiple browser tabs, and repeatable checklists is now a structured system we use every day. It keeps strategy and execution tightly aligned, whether we’re working on a single blog post or a large-scale content hub.

5. What mechanisms are in place to balance data-driven content creation with maintaining creative and editorial integrity?

We give writers structure, not constraints. The data guides what to say and who to say it to, but how it gets said is still up to the creative. Our briefs offer clarity on the audience, tone, key talking points, and gaps to address. But they leave space for originality and voice.

We built these processes to remove friction and second-guessing. The best writing still comes from people. Our system just makes it easier for them to hit the mark.

6. How do you see the role of automation evolving in content marketing, and what governance models are you considering to manage quality and accountability?

Automation is expanding, but we see it as a partner to the strategist and writer, not a replacement. We’ve already built governance into our workflow. Briefs are tied to real search queries and buyer personas. Content is mapped to search intent.

Automation handles the tedious parts, but human review ensures every piece meets our standards. That structure has helped us scale without losing control. As automation gets smarter, our quality controls get even sharper.

The Future of Influencer Marketing: David Abbey on AI-Driven Scale”

marketing 31 Mar 2026

1. How is your marketing team managing manual processes in terms of influencer relationships, and how are you addressing scalability challenges?

A lot of brands still rely on spreadsheets, manual outreach, and disconnected tools to manage influencer programs which makes it nearly impossible to scale efficiently. Once a brand grows from 10 to 50+ influencer partnerships, the wheels start to fall off. Teams get bogged down in manual follow-ups, managing approvals, handling gifting logistics, and compiling performance reports. It ends up consuming their entire bandwidth. That’s where automation changes everything. Influencer marketing platforms, like Endlss, that combine outreach, gifting, commission tracking, and communication in one place have become essential to keeping programs scalable. With the right tools, marketing teams can manage 3x the creator volume without needing to grow their headcount, freeing up time for the work that actually drives results.

2. How is your organization evolving its influencer marketing strategy to shift from brand awareness to measurable revenue generation?

Influencer marketing used to be all about reach and impressions, but the most forward-thinking brands today are treating it like a true performance channel. Instead of chasing vanity metrics, they’re focused on driving measurable, attributable growth. To meet that demand, more teams are adopting attribution tools that link creator content to conversions—whether through custom landing pages, affiliate links, or dynamic tracking infrastructure. On our end, we’ve built SmartLinks into the core workflow, so each creator’s impact is measured in real-time, and with partners of ours like Creator Commerce, together we provide co-branded shopping sites to elevate the consumer experience with a trusted shopping experience that increases conversions. Weekly performance reports make it easy to see which partnerships are generating returns and which need to be re-evaluated. That kind of visibility helps transform influencer marketing from a brand play into a predictable revenue stream.

3. How are you approaching influencer selection and outreach to ensure alignment with your brand values and audience segments at scale?

Alignment is everything in influencer marketing and not just in terms of values. The right creator should reflect the brand’s tone, speak to the right audience segment, and have a track record of driving action. Brands are getting more precise with how they vet creators, looking at engagement quality, audience breakdowns, content style, and past performance before making a move. With AI-powered messaging, every brand can personalize outreach in their own tone of voice—tailored to each creator’s audience, style, and past content.

But finding the right fit at scale is a different challenge. That’s where AI and smart filters are transforming outreach. With AI-powered messaging, every brand can personalize outreach in their own tone of voice—tailored to each creator’s audience, style, and past content. Combined with branded application forms and full creator analytics, brands are scaling high-quality outreach without losing that human touch. Inviting existing customers to apply is low hanging fruit when you want to scale effectively, and authentically—people who already know and love the brand often make the best partners.

4. What limitations have you encountered with traditional tracking methods (e.g., promo codes, UTM links), and how are you planning to evolve your attribution strategy?

Traditional tracking methods come with real friction. Promo codes can get leaked or shared in unintended ways, making attribution muddy. UTM links often break in-app or get stripped entirely, especially on mobile. This creates a gap between creator activity and the sales data that marketers rely on to optimize spend. To move past these limitations, we’re focusing on more robust attribution tools that work reliably across platforms and devices. SmartLinks, for example, generates unique tracking for each creator and integrates directly into conversion and payout workflows. Clean attribution is foundational to scaling today’s influencer programs responsibly. Whether it's to manage budgets or reward high performers, teams need to trust the data.

5. How are you evaluating new MarTech platforms to determine their potential impact on operational agility and cross-functional collaboration?

When evaluating MarTech tools today, agility is at the top of the list. Marketing teams need tools that are fast to implement, intuitive to use, and flexible enough to support cross-functional workflows. If a platform takes weeks to implement or requires engineering support to operate, it’s already a blocker. The best tools today integrate seamlessly with existing systems, whether that’s ecommerce platforms like Shopify, payment processors like Stripe, or internal communication tools. Endlss replaces four different tools in one, so brand, finance, and CX teams can all work from a single system. At the end of the day, the best platforms don’t just do more; they reduce friction across every team.

6. What competitive advantages do you see in adopting lean, AI-powered influencer marketing platforms compared to legacy tools with heavier infrastructure and higher costs?

Legacy influencer marketing platforms were often built with large enterprises in mind. They’re powerful, but also complex, expensive, and heavy to manage. For fast-moving teams, that’s become a real disadvantage—especially when speed and efficiency are critical. Lean, AI-powered platforms are flipping the script. By automating outreach, tracking, and gifting workflows, brands can move from idea to execution in 20 minutes, not weeks. And because these tools are often modular and self-serve, they’re far more cost-effective. What we’ve seen is most brands using Endlss are cutting their software spend by 50% or more while getting campaigns live that day, not weeks. That kind of agility has become a major competitive edge, especially for brands trying to maximize output with lean teams.

marketing

Keeping Humans in the Loop: How Adora Is Turning AI Into a True Performance Engine for Marketers

The Brands Winning Digital Growth Aren't Chasing Attention They're Building Habits

Corporate Event Engagement Has a New Baseline

The Emergence of Vibe Marketing

NRF 2026: Biggest Takeaways for B2B Marketers to Stand Out Amongst a Sea of Tradeshow Vendors

How Deniz Gezgin Is Positioning Eightpoint at the Center of Native’s Evolution

Scaling Content Smarter: How Floyi Leverages Topical Maps and AI Briefs

The Future of Influencer Marketing: David Abbey on AI-Driven Scale”

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