Marketing Measurement
Builds attribution and measurement systems for growth at scale
Anthony sees the Amazon and LinkedIn partnership as a way to target professionals precisely, through tailored connected TV ads and real-time insights. Anthony cautions that data without a clear strategy can overwhelm, so goals should be aligned with the tools.
Anthony argues that digital video spend is surging while local digital ad growth slows in mature markets. Without strategic alignment, innovation creates chaos. Anthony says adapting means integrating real-time insights, and that tailoring AI to strategy produced measurable growth.
Anthony argues that mature markets push advertisers to pay for outcomes instead of impressions. Strategies that don't adapt quickly risk irrelevance, and real-time data keeps decisions from lagging and opportunities from slipping away.
Anthony argues that AI is changing how organizations plan, and marketers need strategy to guide the technology. Anthony recommends tying AI to defined goals, using its insights to close gaps, and relying on real-time data to adjust quickly.
Anthony argues that Amazon's AI pivot is a strategic move, not hype, and that AI changes market strategy when it is integrated with purpose. Without clear goals and rapid adaptation, it exposes operational weaknesses instead of producing innovation.
Anthony argues that CEOs doubling down on AI-driven YouTube strategies shows marketing is no mere overhead. Anthony says AI enables precision targeting and anticipation, and that disciplined execution and focus make the rewards outweigh the risks of falling behind.
Anthony argues that CEOs who treat marketing as overhead are partly responding to marketers' failure to prove value. Clear metrics, personalization and agility around channels like CTV let marketing show it drives growth rather than just cost.
Anthony argues that CRM systems have shifted from sales tools to engagement platforms. Data integration is necessary, and CRM use must align with strategic goals. Organizations that adapt gain insight, while those that do not struggle with personalization and static data.
Anthony argues that no algorithm replaces human strategy in marketing. Anthony points to the return of branded films and to workspace AI agents as tools that fall flat without strategic integration and creativity tied to clear objectives.
Anthony argues that Apple's move toward AI should push marketers to rethink their TikTok strategies. Staying competitive means constant recalibration, using AI-driven insights rather than chasing trends, and turning data into action instead of just adopting new tools.
Anthony argues that AI is not a plug-and-play fix for marketing. Strategic clarity, realigned objectives and adaptability to real-time data decide whether it becomes an asset or a source of overwhelm, and Anthony urges investing carefully.
Anthony argues that AI exposes inefficiencies and that investments without clear strategy fall apart. Anthony says marketers get measurable value by integrating technology with business strategy and using real-time data, with execution mattering more than speculation.
Anthony argues that AI works like a lens: it sharpens results where a clear strategy guides it and magnifies noise where none exists. Anthony says marketers should define AI's role against core objectives before investing, or risk misaligned spending.
Anthony argues that AI will take on most tasks by 2029 and that professionals need a deliberate plan for it. Automation should enhance roles, and AI tools should be tied to goals so they yield insights rather than data overload.
Anthony argues that Meta is ahead of Google in advertising because it draws on real-time user behavior data. Anthony says shallow data wastes spend, and that campaigns need timely data integration and quick adjustments to set trends rather than chase them.
Anthony argues that while attention is on Meta and Google, TikTok is reshaping advertising by expanding Symphony, its AI video tool. Anthony says the technology only pays off when tied to strategy, and that adaptability beats scale.
Anthony argues that connected TV is poised to change how brands reach audiences through precision targeting and real-time adaptability. Anthony warns that advertisers who chase the streaming trend without integrating it strategically risk chaotic spending instead of capturing the opportunity.
Anthony argues that Amazon's AI spending and Snap's hardware push with Qualcomm signal a converging tech landscape. Anthony says marketers need strategic alignment, integration and adaptable infrastructure now, or they risk obsolescence.
Anthony argues that Hong Kong's stablecoin licensing shift rewards firms whose marketing is as flexible as their currency strategy. Anthony recommends aligning channels in one place, relying on data-driven insights, and treating testing as continuous learning.
Anthony argues that court rulings and rising competition, including Meta's Muse Spark launch, are reshaping AI. Brands that anticipate regulatory change instead of reacting to it can turn risk into advantage.
Anthony reads Broadcom's deal with Google and Anthropic as a sign that partnerships now decide who leads the market. Anthony urges leaders to align tech strategy with broader goals and to rethink their own alliances with agility and clarity.
Anthony argues that AI is changing cities and jobs quickly, and that marketing strategies without agility will show their flaws. Anthony says real-time data integration, alignment with AI, and fast adjustments are now necessary, citing growth work at DraftKings.
Anthony argues that AI works as a mirror, exposing gaps in marketing as much as filling them. Without clear objectives it creates noise, but integrated with strategy it supports rapid response, precise targeting and stronger consumer engagement.
Anthony argues that AI without a clear strategy produces chaos rather than innovation. Real advantage comes from transforming how a business works, and adapting strategy matters more than adding technology.
Anthony argues that TV is borrowing TikTok's tempo, as shown by Uproxx making TikTok-ready shows aimed at TV ad budgets. Anthony says marketers need agile systems and clear strategy, especially as AI tools compete for ad dollars.
Anthony argues that Meta's new retail media tools are powerful but don't give AI ownership of the customer. Marketers need clear strategy and alignment so AI strengthens their plans rather than exposing weaknesses, with adaptability as the edge.
Anthony argues that AI is not a cure-all in marketing but a tool that surfaces existing weaknesses. Without strategic clarity, AI spending creates chaos, while tailored integration and adaptable use of real-time data can turn those weaknesses into strengths.
Anthony argues that marketers should move past vanity metrics like likes and impressions, because AI now surfaces more precise performance indicators. Anthony says real-time insight lets teams pivot quickly, but warns that misinterpreting AI output can still lead strategy astray.
Anthony argues that YouTube pulling ahead of Disney in ad revenue marks a real change in media power. Drawing on experience scaling marketing engines, Anthony says brands must integrate new tools, learn from data, and adapt, or be overshadowed.
Anthony points to NBCU's partnership with HyphaMetrics as an example of integrating real-time data with precision. Anthony argues that adaptable, well-aligned systems enable faster response and better targeting, while misaligned ones create chaos.
Anthony argues that AI moving into sectors like agriculture and logistics signals that marketers must embed it in core systems rather than simply adopt it. Real-time data should shape strategy, with a tradeoff between precision and speed.
Anthony says AI improves ad targeting, content and personalization but adds complexity. Weak integration builds cultural debt and unchecked tools cause decision paralysis, so marketers must weigh efficiency against hidden pitfalls and keep their tech stack adaptable.
Anthony argues that new AI models and fee-free app ecosystems raise the bar for real-time customer engagement. Marketing teams need content built for instant AI interactions, reworked app cost structures, and a plan to act on AI insights.
Anthony argues that TikTok's move into search means data-driven marketers must adapt. Anthony calls for bite-sized content, optimization for TikTok's algorithm, and use of its analytics, and says ignoring the platform risks losing a large audience.
Anthony looks at Google's minimum budget demands, Apple's loyalty-focused approach and Amazon's tie-up with OpenAI on stateful AI. Anthony concludes that each move carries risk, and that integrated, adaptable strategy matters more than any single tactic.
Anthony contrasts AI-driven layoffs with Instagram opening up content scheduling. Anthony argues scheduling without data intelligence wastes the opportunity, and that balancing technology with people is how innovation produces practical results.
Anthony describes AI in attribution as an ongoing cycle: models adjust to shifts in user behavior, data science and marketing teams collaborate, and campaign feedback sharpens predictions. Anthony sees this as gradual progress, not a revolution.