Solidifying the 2025-2026 Strategy
The digital marketing landscape of 2025 is not merely an evolution of previous trends; it represents a structural metamorphosis driven by the convergence of generative artificial intelligence, the maturation of the attention economy, and a fundamental shift in consumer information retrieval behaviors. Video has ceased to be a distinct "channel" or a tactical add-on; it has become the primary substrate of the internet, serving as the dominant medium for search, social interaction, commerce, and professional communication.
Current market intelligence indicates a robust affirmation of video's efficacy, with 93% of marketers reporting a positive return on investment (ROI)—the highest figure recorded to date.1 However, the mechanisms driving this ROI have fundamentally shifted. The era of "spray and pray" viral attempts and passive consumption is over, replaced by an environment demanding "intentional engagement," hyper-personalization, and seamless shoppability.2
Three critical revolutions define the 2025 strategic horizon:
The Conversational Search Revolution: The traditional search engine results page (SERP) is being disrupted by AI-driven answers and visual search. Platforms like TikTok, Instagram, and YouTube are now primary search engines for younger demographics, necessitating a "Search Everywhere" optimization strategy where video content is engineered to be parsed, indexed, and cited by AI agents.3
The Generative Personalization Shift: Artificial Intelligence has graduated from a novelty to an infrastructure layer. It is no longer just about generating scripts; it is about "omnichannel hyper-personalization," where video content dynamically adapts to the viewer’s behavior, lifecycle stage, and preferences in real-time, bridging the gap between mass reach and one-to-one intimacy.5
The Commerce Integration: Video is moving from the top of the funnel (Awareness) directly to the bottom (Conversion). With shoppable video formats driving a 3.4x boost in sales performance and live commerce cementing itself as a global revenue driver, the friction between "watching" and "buying" has all but evaporated.1
This report provides an exhaustive, expert-level analysis of the video marketing ecosystem for 2025 and 2026. It dissects the algorithmic imperatives of major platforms, the operational integration of AI, the renaissance of B2B storytelling, and the necessary pivot toward attention-based metrics. It serves as a blueprint for CMOs, brand strategists, and content directors to navigate a marketplace where the only scarcity is human attention.
To formulate a coherent strategy for 2025, one must first understand the macroeconomic and psychological forces shaping consumer behavior. The market is operating under conditions of high saturation and economic constraint, forcing a re-evaluation of value exchange between brand and consumer.
The economic backdrop of 2025 is characterized by a "rebound" economy where median household incomes are recovering, yet purchasing power remains constrained by the cumulative effects of inflation.7 This has precipitated a significant shift in media consumption habits, most notably "subscription fatigue." Consumers, overwhelmed by the fragmentation of streaming services and rising costs, are increasingly abandoning paid subscription models in favor of Free Ad-Supported Streaming TV (FAST) and social video platforms.7
This migration has profound implications for video strategy. As audiences move to ad-supported environments, their tolerance for interruption is tested. Research indicates a growing frustration with ad repetition and irrelevance on streaming services.7 Consequently, the strategic imperative for 2025 is not merely "reaching" the audience but "earning" their attention through value. The advertising landscape must pivot from intrusive interruption to integrated entertainment and utility. Brands that fail to respect the viewer's time—delivering repetitive or low-value interruptions—risk active avoidance and brand erosion. The rise of FAST channels offers a new frontier for advertisers, but it requires a sophisticated approach to frequency capping and creative diversity to avoid the "repetition fatigue" cited by Deloitte's analysis.7
Following the "AI flood" of 2024, where feeds were inundated with low-quality, synthetically generated content, 2025 has ushered in a "Quality Reset".8 Audiences are tuning out the noise. The psychological driver of 2025 is a craving for authenticity and "intentional engagement".2 Viewers are becoming discerning connoisseurs of "realness," seeking connections that feel human, unpolished, and verifiable.
This shift helps explain the rising dominance of "creator-driven partnerships" over traditional celebrity endorsements. Creators are viewed not as actors but as authentic voices within niche communities. The "Human-in-the-Loop" approach is not just a production safeguard; it is a psychological necessity.3 Brands must learn to cede control, allowing creators to interpret the brand message through their unique, trusted lens. Over-direction kills the "spark" of authenticity that drives engagement, while under-briefing risks brand dilution. The sweet spot lies in "co-creation," where brands provide guardrails and metrics, but creators supply the voice.9
Perhaps the most disruptive trend of the decade is the transformation of "Search." The era of keyword-matching blue links is fading. In its place, we see the rise of "Conversational Search" and "Visual Search," driven by AI assistants and platform-native behaviors.3
Younger generations, and increasingly older cohorts, are bypassing Google for discovery, turning instead to TikTok, Instagram, and YouTube. They do not search for "best running shoes"; they search for "running shoe reviews for marathon training" on TikTok to see the product in motion, on a real person, with real feedback. This behavior treats video platforms as search engines. Consequently, video content must be optimized for answers, not just algorithms. This "Search Everywhere" optimization requires a holistic approach where video metadata, spoken audio (transcripts), and on-screen text are all engineered to answer specific user queries, ensuring visibility across voice, visual, and social search interfaces.4
In 2025, social media algorithms have evolved from simple engagement-based sorting hats to complex, predictive neural networks. Understanding the distinct "rules of engagement" for each platform is no longer optional; it is the prerequisite for visibility. The following analysis breaks down the algorithmic priorities for the major video ecosystems.
TikTok has transcended its origins as a lip-syncing app to become a sophisticated predictive discovery engine and a burgeoning commerce giant. By 2026, its algorithms are expected to be so predictive that they will serve content users find appealing before they even realize they want to see it.10
The Retention Hierarchy: The 2-Second vs. 60-Second Rule
The TikTok algorithm operates on a ruthless retention model. Data suggests a binary gateway: if a viewer drops off within the first 2 seconds, the algorithm suppresses the content, assuming it lacks relevance or hook. However, if the content sustains attention for 15, 30, or 60 seconds, the algorithm categorizes it as "quality," unlocking wider distribution tiers on the For You Page (FYP).11 This structural reality dictates creative strategy: the "hook" must be visual, immediate, and compelling, while the "body" of the content must deliver sustained value to prevent drop-off.
TikTok as a Search Engine
TikTok's evolution into a search engine is now a core feature. Users actively search for topics, and the algorithm indexes captions, hashtags, and—crucially—on-screen text and spoken audio.11 "Social SEO" is paramount. A video about "2025 marketing trends" will fail if it relies solely on visual cues; it must explicitly include those keywords in the text overlay, the caption, and the voiceover to be indexed for that query. Utilizing trending sounds also remains a viable lever for discoverability, acting as a "search term" in itself.11
Niche Clusters and Interest Graphs
The platform is moving away from broad virality toward "clustered themes." Success in 2025 comes from defining a niche and dominating the interest graph associated with it. The algorithm rewards creators who build a consistent "content identity," allowing it to confidently recommend their videos to specific user cohorts. Brands should focus on "agility" in adopting trends but anchor them within their specific niche voice to maintain algorithmic authority.4
YouTube remains the bedrock of long-form video, but its 2025 algorithm places a renewed emphasis on the depth of the creator-viewer relationship and the strategic bridge between short and long-form content.
Watch Time and the "Subscriber Relationship"
While "Watch Time" and "Audience Retention" remain the primary ranking signals, the 2025 algorithm has introduced a nuanced weighting for the "Subscriber Relationship." It is no longer enough to get views from strangers; the algorithm prioritizes channels that demonstrate an ability to bring subscribers back. Consistency in theme and format helps subscribers know what to expect, which in turn signals to the algorithm that the channel is a reliable source of engagement.10
The Short-to-Long Funnel
YouTube Shorts have matured into a primary acquisition channel. However, the strategic goal of Shorts on YouTube differs from TikTok. On YouTube, Shorts serve as the "top of funnel" mechanism to direct viewers toward long-form content (webinars, branded series, deep-dives), which typically drives higher conversion and stronger brand loyalty.1 The algorithm rewards channels that successfully bridge this gap, using Shorts to generate awareness that converts into long-form watch time.
Engagement Velocity and Bounce Rate
The first few hours of a video’s life are critical. The algorithm monitors "engagement velocity"—the rate of likes and comments immediately post-publishing. Marketers are advised to use external channels (email, social) to drive initial traffic to new uploads to jumpstart this velocity. Furthermore, the "bounce rate" in the first minute is a negative signal; lengthy, rambling intros are penalized. The content must deliver on the thumbnail's promise immediately.10
LinkedIn has undergone the most radical transformation of any platform in the B2B space. It has shifted from a networking site to a "Mini Business School," where the algorithm aggressively filters for professional value and knowledge transfer.10
The Shift to Vertical Video
Historically a desktop-first platform, LinkedIn is now dominated by mobile usage. Consequently, vertical video (4:5 or 9:16 aspect ratio) has emerged as the superior format, taking up significantly more screen real estate than landscape video and driving higher engagement rates.12 The platform has even introduced a dedicated vertical video feed, mirroring the UX of TikTok, which is growing at twice the rate of other formats.14
Dwell Time and "Meaningful Engagement"
The LinkedIn algorithm has deprecated vanity metrics like "likes" in favor of "dwell time" and "meaningful professional engagement." It prioritizes content that users save (signaling reference value), share (signaling endorsement), and comment on with substance. "Bro-etry" and fluff pieces are being downranked in favor of "micro-lessons"—short, dense videos (60-90 seconds) that teach a specific skill or offer a unique industry insight.10
The "Blockbuster" vs. "Real Talk" Dichotomy
LinkedIn research identifies two distinct high-performing formats:
Blockbuster Brand Films: High-production, cinematic, horizontal videos that tell a brand story. These drive a +129% lift in engagement and are effective for top-of-funnel brand awareness.15
Real Talk Videos: Authentic, low-fi, vertical videos featuring humans speaking directly to the camera. These drive a +103% lift in dwell time and are superior for mid-funnel trust-building. The strategy must deploy both: Blockbusters to inspire, and Real Talk to connect.15
In 2025, Instagram is unequivocally a video-first platform, with Reels taking center stage as the primary driver of reach and engagement.
The "Recency" and "Originality" Signals
The Instagram algorithm favors "recency"—prioritizing posts created within minutes of a user logging on—and "originality." Reposted content with watermarks from other platforms (like TikTok) is penalized. The focus is on native creation. The algorithm also heavily weighs the user's history of interaction; it prioritizes content from profiles the user has engaged with previously, reinforcing the need for consistent community management.10
AI-Assisted Curation and Creation
Instagram is leveraging AI both for curation (showing users content from accounts they don't follow based on interest clusters) and creation. New AI editing tools within the app help creators trim, caption, and select trending audio, lowering the barrier to entry for high-quality content. The platform is also rolling out AI transparency labels, requiring creators to identify AI-generated assets, a move that aligns with the broader push for authenticity.10
Micro-Moments and Direct Messaging
Success on Instagram relies on "micro-moments"—short, 10-second videos that spark immediate emotion. Furthermore, the platform is shifting focus toward private channels. "DM Automation" is becoming a critical strategy, where engagement with a Reel (e.g., "Comment 'GUIDE'") triggers an automated Direct Message with a resource. This moves the interaction from a passive view to an active, one-to-one conversation, signaling deep engagement to the algorithm.16
By 2026, it is estimated that 75% of marketing videos will be AI-generated or AI-assisted.17 We are witnessing the industrialization of creativity, where Artificial Intelligence serves not just as a tool for efficiency, but as the engine of "Generative Video Personalization."
The maturation of generative video models has fundamentally altered the economics of production. Tools like Google Veo, OpenAI's Sora, and Runway allow for the creation of high-fidelity video assets from text prompts.18
B-Roll and Scene Generation: Marketers can now generate specific B-roll footage (e.g., "a futuristic city skyline at dusk") without the cost of stock libraries or location shoots. This capability allows for visual storytelling that was previously budget-prohibitive.
Synthetic Avatars: Platforms like Synthesia and HeyGen have perfected "digital humans." These AI avatars can be programmed to speak any language, creating training materials, personalized updates, or sales outreach videos that are indistinguishable from human presenters. This decoupling of "talent" from "time" allows for infinite scalability of the human face in video.6
The true power of AI in 2025 lies in "omnichannel hyper-personalization." Marketing is moving from segmentation to individualization.
Dynamic Content Adaptation: AI engines can now analyze user data (CRM, behavioral history) to dynamically assemble video content in real-time. A single video template can be rendered in thousands of variations, changing the on-screen text, the audio voiceover, the background imagery, and even the specific product shots to match the viewer’s preferences. If a viewer is a "budget-conscious shopper," the video emphasizes value; if they are a "premium buyer," it emphasizes quality.5
Predictive Personalization: AI does not just react; it predicts. By analyzing viewing patterns, AI can adjust the pacing of a video in real-time. If a user typically skips slow intros, the AI serves a "condensed" version of the content. This responsiveness transforms video from a static asset into a fluid, adaptive interface.6
The most efficient operational model for 2025 is the "Content Waterfall," powered by AI repurposing agents. This workflow addresses the demand for high-volume short-form content without requiring a linear increase in production resources.
The Workflow:
Core Asset Creation: The brand produces a single, high-value long-form asset—a video podcast, a webinar, or a keynote speech (minimum 10 minutes).21
AI Atomization: This asset is fed into tools like Opus Clip, Vizard.ai, or Descript. These tools use Natural Language Processing (NLP) and sentiment analysis to identify "viral-worthy" moments—hooks, emotional peaks, or concise insights.21
Automated Formatting: The AI automatically reframes the horizontal video into vertical (9:16), keeping the speaker centered (active speaker detection), adds dynamic "karaoke-style" captions, and generates social copy/hashtags.21
Distribution: A single hour of recording yields 10-20 optimized shorts for TikTok, Reels, and LinkedIn, along with blog posts and newsletters generated from the transcript.22
Table 1: The AI Video Technology Stack (2025)
Category
Leading Tools
Primary Function
Strategic Value
Generative Video
Google Veo, Runway, Sora
Text-to-Video generation
Creates impossible shots; reduces stock footage costs.
Synthetic Avatars
Synthesia, HeyGen
AI Presenters
Scales "human" presence for training/sales; multilingual support.
Repurposing
Opus Clip, Vizard.ai
Long-to-Short clipping
Automates the "Content Waterfall"; maximizes asset ROI.
Editing & Polish
Descript, Wondershare Filmora
Text-based video editing
Lowers the technical barrier; speeds up post-production.
Scripting/Ideation
ChatGPT, Jasper
Creative assistance
Overcomes writer's block; optimizes scripts for SEO.
Sources: 18
Video in 2025 has transcended its role as a brand awareness tool to become a direct transactional layer. The friction between "inspiration" and "acquisition" has been removed through the widespread adoption of shoppable video and live commerce.
Shoppable video is now a critical performance channel. Brands that integrate shoppable elements into their video strategy engage in a direct commerce motion that yields tangible results.
Performance Metrics: Research indicates that brands integrating shoppable video see a 3.4x boost in sales performance.1 Furthermore, 64% of TikTok users report having purchased a product after seeing it on the platform, validating the efficacy of social commerce.1
Platform Integration: Platforms like TikTok Shop and Instagram Shopping allow for seamless product tagging. A viewer sees a product in a video, taps a "Shop Now" overlay, and completes the purchase without ever leaving the app. This "closed-loop" commerce reduces drop-off rates significantly compared to external linking. 38% of marketers plan to increase their investment in these formats in 2025.1
Originating in Asian markets, Live Commerce has matured into a global phenomenon. It combines the urgency of live events with the convenience of e-commerce.
Interactive Features: Modern live commerce platforms (e.g., Firework, specialized TikTok Live streams) utilize real-time interactivity to drive conversion. Features include live polls ("Which color should I try on?"), Q&A sessions, and limited-time coupons that appear on screen. This interactivity transforms passive viewers into active participants.24
Market Growth: The live e-commerce market is projected to reach over $2.2 trillion by 2025, growing at a CAGR of 13.6%.26 This growth is fueled by the "FOMO" (Fear Of Missing Out) psychology inherent in live broadcasts and the trusted authority of the hosts (often influencers or store associates).
Beyond direct sales, interactivity is used to deepen brand engagement and dwell time.
Branching Narratives: Brands like Netflix and Royal Caribbean have pioneered "choose your own adventure" video formats. Viewers make choices that dictate the narrative path, leading to higher engagement rates and longer session times. For example, Royal Caribbean used interactive "Press OK to explore" CTAs to let viewers virtually tour different parts of a ship.27
Gamification: Interactive elements like sliders, polls, and clickable hotspots allow brands to gather zero-party data. A skincare brand might use a video quiz to recommend products, simultaneously engaging the user and collecting data on their skin type.24
The B2B marketing playbook has been rewritten. The era of stiff, corporate "talking heads" and generic stock footage is over. In 2025, B2B buyers—who are also consumers of TikTok and Netflix in their personal lives—demand the same level of authenticity and engagement in their professional content.
B2B buyers now conduct extensive pre-vetting before ever speaking to a sales representative. They are skeptical of polished marketing claims. To bridge this "Trust Gap," B2B video must pivot to "Real Talk."
Authenticity Over Polish: High production value can paradoxically signal "marketing fluff." Authentic, handheld, or simple webcam videos featuring subject matter experts (SMEs) discussing complex problems often outperform polished ads. This format, often referred to as "Real Talk" on LinkedIn, signals transparency and expertise rather than salesmanship.15
Employee Advocacy: The most effective distribution channel for B2B video is often the personal profiles of employees, not the corporate brand page. Buyers trust people more than logos. Encouraging SMEs and executives to share video insights builds a "personal brand" halo that benefits the company.15
A robust B2B strategy for 2025 aligns specific video formats with stages of the buyer's journey 29:
Top of Funnel (Awareness): The Scroll Stopper. Short, punchy videos on LinkedIn or YouTube Shorts that address a specific industry pain point or offer a contrarian take. The goal is attention and brand recall. Format: 9:16 Vertical Video.
Middle of Funnel (Consideration): The Trust Builder. Ungated demos, deep-dive webinars, and "How-to" series. This content should answer specific questions ("How does the API integration work?") without forcing a sign-up. Transparency here builds the confidence required to book a meeting.28 Format: Long-form YouTube, Webinars, Podcasts.
Bottom of Funnel (Decision): The Closer. Personalized video outreach using tools like Loom or synthetic avatars. A sales rep sends a video addressing the prospect by name, referencing their specific company context. Also, high-production customer case studies that prove ROI. Format: Personalized 1:1 Video, Case Study Films.
Post-Sale (Advocacy): The Retainer. Onboarding tutorials and "customer success" stories to reduce churn. Format: Screen-share tutorials, community highlight reels.
Case Study Highlight: Rocketium
Rocketium utilized a "creative automation case study" video to demonstrate value. By visually showing the before (2-3 week creative cycles) and after (instant generation), they moved beyond abstract claims to tangible proof. The video successfully illustrated an "8x acceleration" in campaign launches, resonating deeply with efficiency-focused B2B buyers.30
Creating compelling content is futile if it remains invisible to the algorithms that gatekeep audience attention. Technical optimization in 2025 focuses on two fronts: optimizing for AI search agents (SEO) and optimizing for the silent mobile user (Accessibility).
With Google's deployment of AI Overviews (formerly SGE), the goal of SEO has shifted. It is no longer just about ranking a link; it is about being cited as a source in the AI-generated answer. 70% of AI sources come from top-ranking results, but the AI prioritizes content that provides clear, structured answers.31
Transcript Optimization: Search engines cannot "watch" video, but they can "read" it. Providing accurate, keyword-rich transcripts is non-negotiable. The spoken audio should naturally incorporate target keywords and questions (e.g., "In this video, we will discuss B2B video trends...") to ensure the transcript is indexed relevantly.32
Structured Data (Schema): Implementing VideoObject schema markup provides Google with critical metadata: the video description, duration, thumbnail, and transcript URL. This increases the likelihood of the video appearing in "Rich Snippets" and video carousels.33
Long-Tail Q&A: AI agents thrive on specific questions. Video titles and descriptions should target long-tail queries (e.g., "How to edit video for TikTok in 2025") rather than broad terms. Creating "Chapters" within the video that correspond to these specific questions helps the AI point users to the exact timestamp that answers their query.32
The statistic is staggering: over 92% of users watch videos without sound on mobile devices.34 This reality mandates a "Silent-First" creative approach.
Visual Hooks: The first 3 seconds are the "make or break" moment. Without audio, the video must use visual dynamism—rapid motion, bold colors, or striking imagery—to arrest the scroll. A "talking head" doing nothing in the first 3 seconds is a guaranteed skip.34
Dynamic Captions: Captions are no longer an accessibility compliance box to check; they are a primary design element. "Karaoke-style" captions (which highlight words as they are spoken) increase retention by giving the eye something to follow. Captions should be bold, high-contrast, and branded.34
Text Overlays: These act as visual headlines. A text overlay appearing at 0:01 saying "The #1 Mistake in Video Marketing" provides immediate context and a value promise to the silent scroller, compelling them to stop.36
The metrics that defined success in 2020—views and impressions—are increasingly viewed as vanity metrics in 2025. They are easily inflated, prone to bot activity, and poorly correlated with business impact. The industry is pivoting toward "Attention Metrics" and "Revenue Attribution."
"View Count" tells you reach; "Watch Time" tells you value.
Engagement Rate: Metrics like shares and saves are high-intent signals. A "save" on LinkedIn or Instagram indicates the content was valuable enough to be kept for reference. This is a stronger proxy for brand authority than a passive view.37
Average Watch Time & Completion Rate: These are the ultimate arbiters of content quality. If a 60-second video has an average watch time of 8 seconds, the content has failed, regardless of how many "views" it accumulated. Marketers must analyze "drop-off points" to understand where the audience lost interest.37
Dwell Time: Platforms like LinkedIn explicitly optimize for dwell time—the time spent with the asset on screen. Slowing the scroll is a victory in the attention economy.15
Linking video views to hard revenue remains the "Holy Grail." With the degradation of third-party cookies, direct attribution is harder.
Media Mix Modeling (MMM): Advanced marketers are using MMM to analyze statistical correlations between video ad spend and overall sales lift, rather than relying on pixel-based tracking.
Brand Lift Studies: For top-of-funnel video, Brand Lift studies (measuring changes in awareness or consideration among an exposed group vs. a control group) provide a more accurate picture of impact than click-through rates (CTR).39
Allocating budget requires a realistic understanding of costs. The following benchmarks for 2025 provide a baseline for media planning.
Table 2: Social Media Video Ad Benchmarks (2025)
Platform
Avg CPM (Cost Per Mille)
Analysis & Strategy
Meta (FB/Instagram)
~$8.19 - $8.56
High Cost, High Precision. Meta demands a premium due to its mature targeting and conversion optimization. Best for bottom-of-funnel conversion campaigns.
TikTok
~$4.82
Efficiency Play. significantly cheaper than Meta. Ideal for top-of-funnel awareness and reaching Gen Z/Alpha audiences. Requires high creative volume.
YouTube
~$4.99
The Hybrid. competitive pricing for high-intent viewing. Excellent for both awareness (Reach) and consideration (Action).
Snapchat
~$8.60
Premium Niche. Surprisingly high CPM, reflecting a highly engaged, hard-to-reach younger demographic that is less active on other platforms.
~$4.67
Discovery Value. Low CPM makes it a cost-effective channel for visual discovery and shopping intent, particularly for lifestyle brands.
Source: 40
Note: Costs are volatile. Meta CPMs spiked to $10.83 in Dec 2024 before stabilizing, highlighting the seasonality of ad costs.
The video marketing landscape of 2025 is defined by a paradox: technology has made video easier to produce (AI), yet harder to master (Attention). The barriers to entry have collapsed, but the barriers to significance have risen.
To succeed in this environment, organizations must adopt a strategy of Integrated Intelligence. Video is not a silo; it is the visual language of the brand, spoken across search, social, and sales channels.
The 2025 Strategic Checklist:
Adopt a "Search First" Mindset: Stop optimizing for the feed; optimize for the query. Assume your audience is searching for answers. Use keywords, transcripts, and clear visual titling to own the search results on TikTok and YouTube.
Operationalize AI, Don't Just Play With It: Move beyond experimentation. Implement a standard "Content Waterfall" workflow where AI handles the heavy lifting of repurposing, captioning, and versioning. This frees human creatives to focus on the one thing AI cannot do: radical empathy and storytelling.
Embrace B2B Authenticity: If you are selling to businesses, drop the corporate mask. Empower your experts to use "Real Talk" on LinkedIn. Trust is the currency of B2B, and authenticity is how you mint it.
Measure What Matters: Divorce yourself from vanity metrics. Reorient your reporting dashboards to prioritize Watch Time, Engagement Rate (Saves/Shares), and Attributed Revenue. If the metric doesn't map to business impact, ignore it.
Prepare for Co-Creation: The future involves co-creating worlds with your audience. As we look toward 2026, the brands that win will be those that build "creative platforms" that invite creators and customers to participate in the brand story, rather than just consuming it.9
In the final analysis, the technology of 2025—the AI agents, the predictive algorithms, the shoppable overlays—are merely the vessel. The cargo remains unchanged: a compelling story, told well, to the right person, at the right time.