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Every post on the Index about marketing strategy.
Joel argues that consumer attention is quietly moving to ChatGPT while many marketers cling to traditional ad platforms. Teams experimenting with conversational AI report deeper engagement, and Joel sees the shift from static ads to dynamic conversations as the key change.
By Joel Breen
Joel argues that CMOs who rely on third-party data wrongly assume it gives a broader view. He says first-party campaign insights offer more depth, and that a retail team's switch revealed overlooked consumer patterns and produced more effective campaigns.
By Joel Breen
Joel argues that CMOs who keep AI inside the IT department miss its strategic value. He describes a luxury brand client that saw better targeting and retention once machine learning moved into consumer behavior analysis.
By Joel Breen
Dahv argues that marketers who rely on a single channel miss how quickly revenue arrangements are changing. A B2B client that moved beyond email into social media and partnerships saw engagement rise and more conversion paths open up.
Todd argues that sophisticated AI ad tools are stalling because of algorithmic complexity and steep learning curves. Over-reliance on AI risks campaigns that lack human touch, so data must be paired with creativity and strategic integration.
By Todd Kirk
Dahv argues that marketers should combine Amazon's B2B shift with Mother's Day sentiment, using platform insights for timely messaging and emotional connection for memorability. Dahv warns that waiting too long means missing the opportunity.
Dahv points to Marriott turning an internal memo into a full campaign as a model for brand storytelling. Dahv argues that companies should extend internal communications beyond the boardroom and treat every announcement as a chance to tell a story.
Dahv asks whether a revived Vine could reshape marketing the way TikTok did. The argument is that brands should favor platforms with viral growth potential, use real-time data, and tell relatable stories quickly, or risk being left behind.
Dahv argues that CEOs increasingly see marketing as overhead, but Divine's launch shows storytelling can drive momentum. Pairing data with creative narrative, and using real-time feedback to pivot, is presented as the way to turn marketing from cost into growth.
Dahv argues that CEOs who see marketing as overhead are wrong, and that marketers can change that view by using real-time data, putting creativity at the center of campaigns, and adopting AI-driven tools instead of risking stagnation.
Jeff argues that mastering privacy-first data strategies matters more than chasing new platforms. Data access is a privilege that can tighten, and companies that rely on old tools risk obsolescence, while those that adapt and use human intuition will last.
Dahv argues that marketers should blend data with storytelling instead of relying on numbers alone. Real-time feedback helps teams adapt, and data should serve as a canvas for narratives that resonate emotionally and also sell.
Dahv argues that AI-generated music is a present reality, citing Deezer's upload share, and that marketers should rework their playbooks to use it for creativity and untapped audiences, while keeping a sense of balance.
Dahv argues that creativity drives unexpected growth, using a surprise festival duet as an example of a strategic spark. Marketers should try live debuts, unexpected collaborations and real-time cultural moments, because standing still is the bigger risk.
Dahv argues that data on its own is easily lost, and that turning it into creative storytelling is what drives revenue and relationships. Plans should adapt like an evolving script, and routines should give way to more creative approaches.
Todd argues that as AI takes over most tasks, people's value lies in intuition, creativity and strategic foresight. He says leaning too heavily on automation sidelines the human touch, and that the best strategies come when imagination meets data.
By Todd Kirk
Dahv argues that major shifts, such as Star Wars returning to theaters and Google overhauling search with AI Max, demand flexible marketing strategies. Dahv recommends adopting new storytelling channels and using AI to create personalized narratives.
Todd uses the example of AI predicting coffee orders to ask whether algorithms can capture the nuance of human-driven strategy. He argues that data models are approximations, and that AI should enhance marketers' decisions rather than replace empathy and intuition.
By Todd Kirk
Dahv argues that Amazon's satellite ambitions are about data and reach, not just space. Combined with AI-driven media, they require marketers to adapt by using real-time data for precise targeting and by trying experimental channels with agility.
Todd argues that AI has become its own media channel, pulling budget from performance channels. With a third of ad spend already concentrated on about ten platforms, Todd warns against chasing hype and urges optimizing existing platforms and prioritizing actionable metrics.
By Todd Kirk
Dahv argues that data is only part of effective marketing, and the narrative built around it decides whether a brand stands out. Dahv says combining analytics with emotional storytelling improved campaign results, and that creativity backed by data is essential.
Dahv argues that campaigns improve when bold creative vision meets the TikTok and HubSpot integration, using real-time engagement and unified insights to adapt fast and build stronger narratives. Ignoring these tools, Dahv warns, risks stalled campaigns.
Todd questions whether excitement around TSMC's record AI chip surge is pulling marketers away from fundamentals. Todd argues for using the surge to recalibrate, pairing new advances with established practice and favoring deliberate integration over rushed adoption.
By Todd Kirk
Joel argues that marketing built on 2010-era tactics is falling behind, because AI evaluates consumer behavior in near real time and anticipates changes. He says strategists who adopt it can optimize on the fly, while hesitation puts profits and relevance at risk.
By Joel Breen
Dahv argues that marketers should look past trends and study real-time data for patterns. Using Prime Video's thrillers and struggling unscripted content as signals, Dahv says acting quickly and tying storytelling to data keeps strategy from going stagnant.
Dahv points to Allbirds falling from a $4 billion valuation to a $39 million sale as a warning about underestimating market signals. He argues marketers should favor agile decision-making and let real-time data guide strategy over innovation alone.
Joel argues that raw data alone no longer helps marketers. He says the advantage comes from pairing technology with human creativity and using AI to act in real time, so insights drive innovation and strategy rather than intuition and traditional metrics.
By Joel Breen
Dahv argues that data informs strategy while narrative creates trust and loyalty. Drawing on experience blending D2C and B2B approaches, Dahv recommends emotionally resonant stories adjusted with real-time insights, so campaigns don't lose the human touch.
Joel argues that top AI users get strong returns because they build narratives and strategy around their data instead of just collecting it. Joel points to creative integration, governance that supports human creativity, and data ownership that leads to accountable action.
By Joel Breen
Joel argues that marketers who rely on guesswork are falling behind, since AI can pinpoint targets. Its insights only produce growth when people supply strategy, interpretation and creativity, so the goal is to combine data and human judgment.
By Joel Breen
Joel argues that numbers alone don't produce revenue. Advanced analytics and AI can predict trends and optimize campaigns, but without strategic direction they amplify mediocrity. Value comes from pairing analytics with creativity.
By Joel Breen
Dahv argues that every successful campaign began as a risky bet, recalling a quirky product line that turned skeptics into advocates. Dahv says marketers should treat AI as a creative partner, use real-time data to adapt, and avoid relying on old scripts.
Joel argues that marketing should be judged by business impact rather than impressions or clicks. Data and advanced tools only matter when strategy ties them together, and teams that run isolated ads instead of building integrated ecosystems risk falling behind.
By Joel Breen
Dahv argues that campaign results depend on narrative more than tactics. Pairing data with storytelling, working with creators, and using real-time feedback to adapt keeps a brand story connecting with audiences beyond what metrics capture.
Joel argues that marketers chasing clicks and impressions miss real business impact. Analytics and AI tools need strategic direction, so teams should identify the core metrics that trace back to revenue and ask whether their work creates new demand.
By Joel Breen
Joel argues that heavy spending on AI and analytics tools is outpacing the strategy needed to use them. Without clear goals, financial definitions of success, and a link from analytics to decisions and outcomes, teams get more dashboards and less clarity.
By Joel Breen
Joel argues that AI can take on analytical work, but it cannot replace human judgment. Without a culture that lets teams question AI outputs and layer in real-world insight, organizations risk being led blindly by the technology.
By Joel Breen
Joel argues that AI and real-time data are replacing guesswork in marketing strategy, and that this is no longer limited to big tech firms. He warns that tools misaligned with company culture put trust and revenue at risk.
By Joel Breen
Dahv argues that real-time data is shifting marketing, using NBCU's deal with HyphaMetrics as an example. Marketers should use AI to interpret live data and shape it into relatable stories, because trust matters more than attention.
Dahv argues that real-time data is changing marketing and that ignoring it risks falling behind. Marketers should use AI to interpret data as it arrives and use storytelling to turn insights into action rather than bragging rights.
Joel argues that marketers relying on guesswork should adopt real-time data and AI. He warns that AI priorities which overshadow brand values create culture debt and hurt morale, so technology needs to be integrated with company culture.
By Joel Breen
Dahv argues that willingness to change keeps marketers ahead, and that the rise of AI tools makes old strategies obsolete. Dahv urges reevaluating campaign structures with AI and testing and iterating faster, accepting bold risk as the way forward.