Fibr AI is an Agentic Web Experience Platform that transforms website URLs into intelligent, adaptive agents. Each page senses visitor intent, makes decisions, and reshapes itself in real time to deliver personalized web experiences.

Where is Fibr AI headquartered?

Fibr AI is headquartered in Delaware, USA.

Who is Fibr AI built for?

Fibr AI is built for enterprises looking to personalize at scale, growing businesses starting their web optimization journey, and agencies or marketing affiliates looking to optimize websites for their clients.

What problem does Fibr AI solve?

Fibr AI addresses the disconnect where ads, email, and search are hyper-targeted and AI-powered, but website visitors land on the same static page regardless of where they came from. Fibr makes the website itself as intelligent and context-aware as the marketing channels driving traffic to it.

How does Fibr AI personalize web experiences?

Fibr AI uses AI agents combined with human oversight to detect visitor signals, decode intent, and rewrite page experiences in real time. Personalization can be based on ads, location, device, browser, behavioral signals, visit frequency, LLM-sourced traffic, CDP data, CRM data, and custom audiences.

What results does Fibr AI claim to deliver?

Fibr AI claims results including +28% higher ROI from AI-driven personalization, +30% lower customer acquisition cost (CAC) from intent-based targeting, and 4X more leads from personalizing experiences at scale.

What are the pricing plans offered by Fibr AI?

Fibr AI offers three plans: a Starter Plan for growing businesses (up to 1,000 experiences), an Enterprise Plan for large organizations requiring unlimited visitor sessions and unlimited domains/URLs, and an Agency Plan for agencies and marketing affiliates covering 10,000 monthly visitor sessions and 5 unique URLs.

What features are included in the Enterprise plan?

The Enterprise plan includes Web-Journey Personalization, LLM-Traffic Personalization, AI Landing Page Creator, Customized Agentic Workflows, White-Glove Assistance, CDP/CRM and Analytics integration, On-Brand Agent Training, and 24/7 Dedicated Support with unlimited visitor sessions and unlimited domains and URLs.

What security and compliance certifications does Fibr AI have?

Fibr AI states alignment with SOC 2, ISO 27001, GDPR, and CCPA standards.

What integrations does Fibr AI support?

Fibr AI integrates with CDP (Customer Data Platform), CRM systems, and analytics platforms.

Does Fibr AI support A/B testing and experimentation?

Yes. Fibr AI includes an Experimentation Suite that provides AI-powered hypothesis creation, automated variant creation, audience-based experimentation, statistical significance monitoring, traffic allocation setup, and continuous learning and iteration.

How does Fibr AI handle AI ethics and human oversight?

Fibr AI states that its agents adapt experiences without manipulating them, and that it prioritizes transparency, security, and human oversight at every layer. The platform operates with a 'humans-in-the-loop' model where human allies guide strategy, brand alignment, and key decisions.

How do I get started with Fibr AI?

Fibr AI directs prospective customers to book a demo to get started.

How does DCO differ from traditional A/B testing?

Unlike manual A/B testing, which requires days of setup and analysis, DCO automatically tests headlines, visuals, and calls to action in real time. As soon as one variation performs better, it gets more visibility while weaker versions are adjusted or removed — saving marketers up to 5 hours a week.

What is the difference between DCO and programmatic advertising?

Programmatic automates the buying and placement of ads across channels based on audience targeting, bidding, and inventory availability — it decides where and to whom an ad is shown. DCO focuses on creating multiple ad variations and dynamically optimizing them for each viewer, determining which specific creative that viewer needs to see to maximize engagement and conversions.

What ad elements can DCO optimize?

DCO can optimize headlines, taglines, product photos, offers, calls to action, images, video, product descriptions, and brand messages. The AI mixes these building blocks into dozens or hundreds of combinations and continuously tests which perform best for each audience segment.

How big is the DCO market?

The DCO market was valued at $871 million in 2024 and is expected to reach $1.9 billion by 2032.

What results have brands achieved with DCO?

Real-world results include: Ametller (via FEEDB<CK) achieving a 58% increase in ROAS and a 30% reduction in CPA with 2,000+ dynamic video ad variations; and Ruokaboksi (via Genero) lowering cost-per-acquisition by 47% and cost-per-lead by 82.4% through 1,200+ localized ad variants across Finnish markets.

What are the best practices for setting up a DCO campaign?

Key best practices include: providing multiple creative asset variations (images, headlines, CTAs) clearly labeled by theme or audience; using precise audience micro-segmentation refreshed weekly; defining clear campaign goals upfront (clicks, conversions, sign-ups, or revenue); connecting tracking to analytics, CRM, and ad platforms before launch; testing one variable at a time; and regularly rotating creative to prevent ad fatigue.

How does DCO prevent creative fatigue?

DCO continuously monitors performance data and predicts when engagement might drop before it happens, automatically testing new variations early. The system replaces low-performing creatives with better ones and can rotate images, headlines, and offers to maintain engagement over time.

Does DCO work across multiple advertising channels?

Yes. DCO works across platforms like social media, display, and video, maintaining consistent messaging while adapting a single set of creative assets to different formats and audiences across each channel.

Dynamic Creative Optimization (DCO): Definition, Benefits, and Best Practices in 2026

Introduction

Dynamic Creative Optimization uses AI to test, learn, and serve the most effective ad combinations in real-time, eliminating manual A/B testing and creative fatigue so your campaigns always run personalized ads that evolve with your audience. The DCO market is expected to reach $1.9 billion by 2032, up from $871 million in 2024.

What is Dynamic Creative Optimization (DCO)?

Dynamic Creative Optimization is an advertising technology that uses AI to generate multiple, real-time ad variations. It analyzes audience data, contextual signals, and past performance to optimize ad elements such as headlines, images, and CTAs to deliver more relevant and personalized ads that drive better conversions.

Key highlights of DCO

Personalizes ads in real time using data on user behavior and context.
The machine learning (ML) system learns what performs best and adjusts automatically.
Saves time that would otherwise go into manual testing and redesign.
Maintains steady ad performance by preventing creative fatigue.
Works across different platforms and maintains consistent messaging.

How DCO works in practice

When you set up a DCO campaign, you feed the platform creative assets like headlines, visuals, product descriptions, CTAs, and brand messages. The platform's AI then mixes these pieces in different ways to create multiple ad combinations. It monitors how each version performs across different audiences and automatically adjusts which ads are shown based on what's working best.

Electric car example

Imagine you're promoting a new electric car. Instead of creating one ad about "clean driving," DCO lets you create hundreds of versions. Someone browsing on a mobile device in a metro area might see an ad about "saving on fuel in city traffic." A family researching cars on a weekend might see a version highlighting "spacious design and safety." A tech enthusiast could get one that emphasizes "smart dashboard and connectivity." All of this happens automatically, powered by audience data and live performance feedback.

Behind the scenes

The DCO system gathers user data from sources like cookies, CRM records, or ad networks.
It segments users into groups based on behavior, interests, or intent.
It dynamically selects ad elements that best match each user segment.
The system runs continuous performance tests and replaces low-performing creatives with better ones.
Over time, it learns which messages drive the highest engagement and conversions.

Integration with marketing automation and CRM

DCO can work hand in hand with marketing automation and CRM tools. For example, if someone visits your site, adds a product to their cart, but doesn't check out, DCO can trigger a retargeting ad for that same product with a personalized discount. If a visitor browses your blog about home loans, they might later see an ad highlighting flexible mortgage options. In simple terms, DCO connects audience intent with creative delivery in real-time.

How Does Dynamic Creative Optimization Work (In Detail)?

Dynamic Creative Optimization follows a clear process that blends creative testing with real-time learning. Each step helps you move from manual ad setup to data-led, adaptive advertising.

Creative asset management

First, you add all your ad elements — headlines, taglines, product photos, offers, and calls to action — to the AI system. AI reviews these assets and groups them based on type and theme, spots missing details like a weak call to action or repetitive visuals before you launch, and creates a structure that allows endless combinations without breaking brand consistency.

Audience data collection

The platform gathers information from various sources, including CRM systems, analytics tools, ad platforms, and user interactions. AI reads this data to find behavioral patterns like buying habits, browsing time, and preferred devices, builds smaller and more focused audience segments, and over time refreshes these segments according to new user actions and campaign feedback.

Creative assembly and variation building

The platform creates ad variations by mixing the assets you uploaded, building dozens or even hundreds of versions in minutes. AI tests which image fits best with a headline or which color drives more clicks, removes weak combinations before they go live, and ensures every version adheres to your layout and brand tone.

Real-time ad delivery

Once the ad variations are ready, the system delivers them automatically to users across all your channels. AI decides which version to display to each person based on demographic data such as age, location, and interests, and reacts to small signals such as time of day and the user's past clicks to pick the most relevant ad. This keeps your campaigns personal and responsive without constant manual input.

Continuous performance tracking

Every time the system runs an ad, it records the subsequent actions, including clicks, conversions, and engagement. AI reviews this data constantly to see which creatives get the best response, identifies patterns you might overlook (such as how tone and image style affect performance), and predicts when engagement might drop so it can start testing new variations early.

Automated scaling and optimization

As the campaign progresses, the system identifies the most effective combinations and expands their reach. AI shifts more budget toward high-performing creatives automatically, pauses or replaces weak ads while keeping tests running in the background, and keeps improving results daily without requiring you to rebuild campaigns from scratch.

Benefits of Dynamic Creative Optimization

Better ad relevance

75% of marketers believe personalized experiences drive sales and repeat business. DCO helps you show the right message to the right person at the right time by tailoring content based on audience data like age, location, and browsing behavior. When your ads speak directly to people's interests, they feel more personal and relatable, often leading to higher engagement and stronger click-through rates without extra manual effort.

Faster creative testing

With DCO, you don't have to spend days running manual A/B tests. The system automatically tests headlines, visuals, and calls to action to see what works best. As soon as one variation performs better, it gets more visibility while weaker versions are adjusted or removed. AI can save marketers up to 5 hours a week.

Continuous optimization

Unlike static ads that lose performance over time, DCO campaigns continue to improve. The system learns from every impression, click, and conversion, meaning your ad creative stays fresh and relevant without constant redesigns. You can focus on strategy and storytelling while the platform handles daily fine-tuning.

Stronger ROI

Because DCO reduces wasted impressions and improves targeting, you get more results from the same budget. It helps you spend money on ads that actually convert instead of guessing what might work. Over time, this leads to higher returns on investment and a better understanding of which messages drive sales, sign-ups, and other key actions.

Easier scaling across channels

DCO works across platforms like social media, display, and video, so your message stays consistent everywhere. You can use one set of creative assets and let the system adapt them to different formats and audiences, saving time and effort when running large campaigns.

Best Practices for Dynamic Creative Optimization

Choose the right creative

Start with images, videos, headlines, product descriptions, and calls to action that speak to your audience's needs, emotions, and motivations. Include multiple variations for each asset type — for example, test short and long headlines, bright and subtle images, or different product angles. Label your assets clearly by theme, offer, or audience type to save time when tracking which elements work best.

Segment your audience clearly

Divide your audience into groups based on demographics, behavior, past purchases, and engagement history. Use micro-segmentation — for example, separate frequent buyers from one-time visitors — so AI can target each segment with highly relevant creative variations. Refresh segments weekly with new user data to maintain relevance and prevent audience overlap.

Define campaign goals upfront

Decide whether your campaign focuses on clicks, conversions, sign-ups, or revenue. Break goals into smaller, measurable milestones and track daily engagement, click-through rate, and conversion rate to see early trends. Align creative elements with goals — for example, if you want conversions, highlight product benefits and limited-time offers prominently.

Set up proper tracking

Connect your DCO system to analytics, CRM, and ad platforms, and test every link, pixel, and tag before launch to avoid gaps in data collection. Monitor multiple metrics — not just clicks — including conversions, time on page, and bounce rates to get a full picture of performance.

Test and refine continuously

Run multiple ad variations and monitor real-time performance. Pause low-performing combinations and scale high-performing ones. Test one variable at a time when possible to make it easier to identify what drives results. Experiment with timing and placement by testing ads on different days, times, and channels to find peak engagement periods.

Keep creative fresh

Even top-performing ads lose impact over time. Rotate images, headlines, and offers regularly and use seasonal trends, current events, or user behavior insights to refresh content. Drop assets that consistently underperform and replace them with new variations. Combining high-performing elements from different campaigns can boost performance without needing a completely new creative.

Dynamic Creative Optimization Case Studies

Flipkart

The Flipkart team analyzed historical data for the mobile category and observed that while users frequently viewed multiple products, they rarely converted — many added items to their carts and then abandoned them. To re-engage these users, Flipkart used Dynamic Creative Optimization to deliver a series of personalized ad creatives for the Samsung Galaxy J7 Pro, with each ad focused on a different feature or motivator: camera quality, social-camera appeal, display and memory performance, quick delivery, affordability ("under ₹10,000"), bestseller status with a 4.4 rating, positive user reviews, limited-time offers and exchange deals, and a final urgency reminder that the offer was about to end. Flipkart later scaled the campaign across the entire mobile category, using automation to generate real-time creative variations for different SKUs, delivering more relevant ads, better audience segmentation, and boosted conversions through smarter data-driven personalization.

FEEDB<CK and Ametller

FEEDB<CK, a Spanish creative-production agency, collaborated with premium food retailer Ametller and used automation to create dynamic video ads for social channels. They generated over 2,000 ad variations using real-time product and campaign data, automating creative production and campaign management so each ad stayed fresh and relevant to daily product and promotion updates. Results: a 58% increase in ROAS through dynamic video personalization, a 30% reduction in CPA, 2,000+ ad variations with real-time updates, and high-quality creatives delivered at scale without manual edits.

Ruokaboksi (via Genero)

Genero, a growth marketing agency, noticed that Ruokaboksi's generic ads weren't cutting through in local markets. They automated and personalized ad creatives across 110+ locations by connecting a dynamic feed listing cities, demographics, and promotions; building template creatives that pulled in city names, local slang, and demographic-specific imagery; and launching a master ad set that generated 1,200+ ad variants automatically. Each variant targeted neighborhoods, family types, singles, and couples with tailored visuals and CTAs. Results: cost-per-acquisition lowered by 47%, cost-per-lead reduced by 82.4%, 230 ad sets and over 1,200 localized ads launched across Finnish markets, and highly relevant creative produced at scale without overwhelming design resources.

The Future of DCO

The future of Dynamic Creative Optimization looks promising as brands move toward more personalized and data-driven advertising. It's becoming smarter, faster, and more automated, making it easier to create thousands of ad variations that resonate with your audience in real time. Key trends shaping the future of DCO include:

AI-driven personalization: Ads will automatically adapt visuals, copy, and offers to match user behavior and context.
Real-time decision-making: Campaigns will learn and optimize on the go instead of waiting for manual updates.
Deeper integrations: DCO will connect directly with CRM, analytics, and eCommerce tools for sharper audience targeting.
Creative automation at scale: Marketers will be able to test hundreds of ad combinations in minutes instead of days.
Improved measurement: DCO platforms will offer better visibility into nuanced KPIs like engagement quality, creative fatigue, conversion lift, and audience segment performance.
Privacy-first optimization: With new data laws, tools will rely more on contextual and first-party data for personalization.

How Fibr AI Helps with Your DCO Strategy

With Fibr AI, you can automate your entire DCO strategy and ensure your audience sees the most personalized version of your ads, landing pages, and other campaigns.

Liv — the personalization agent

Fibr AI's personalization agent, Liv, makes every user interaction feel personal. You sign up with Google, Meta, TikTok, or LinkedIn, and Liv automatically imports your ad campaigns and audience segments. You can also link the landing page you want personalized for your ads. Once the assets are imported, Liv scans key elements such as headlines, images, and CTAs; analyzes which parts to personalize for maximum impact; lets you see all ads tied to your URL across platforms in one dashboard; prioritizes high-impact ads to maximize growth potential; and generates clear impact scores for each to help you identify the best campaigns.

MAX — the AI-powered experimentation partner

MAX crawls the page on both desktop and mobile viewports to extract headlines, CTAs, images, and layout blocks; pulls real-time GA4 data including bounce rates, scroll depth, and exit percentages to reveal user behavior insights; analyzes ad structure to pinpoint key areas with high optimization potential; generates variants according to hypotheses, incorporating changes to copy, images, and layout; lets you personalize variants through an intuitive no-code visual editor; and offers one-click approval for quick experiment setup with options for more detailed customization. The multivariate tests run continuously, and your audience always sees the most personalized variant.