15 stories
Ten claims a model puts in ad copy, each matched to the FTC rule, CAP Code clause or platform policy it breaks — three false however you word them, seven lawful only with evidence.
Three years ago, "professional creator" mostly meant consistency: post on schedule, hit a follower threshold, land the occasional brand deal. That bar has moved.
6sense and Demandbase built their business on the promise that AI can predict which accounts are in-market before they raise their hand. The pitch is compelling but the reality is messier — intent scores are probabilistic, shared with competitors, and often wrong.
Demandbase and 6sense sell intent data and account scoring, but teams routinely report zero pipeline from $400K in ABM tool spend because the intelligence never becomes running campaigns.
Performance marketers know creative variation is the #1 lever for ad performance, but producing 40 variants used to mean weeks of design work. This piece walks through the actual workflow: start with a ChatGPT prompt to generate copy variations, use Synter to generate images and video creative from…
Most paid media teams manage LinkedIn, Google, and Meta from three separate dashboards, reconcile spend in a spreadsheet, and lose hours each week to copy-pasting numbers. Platform-native reporting is siloed by design — each platform reports its own metrics, not cross-channel reality.
Third-party intent data is expensive, probabilistic, and shared with every competitor using the same vendor. First-party signals — your own CRM, website analytics, product usage, and behavioral data from Watt — are cheaper, more accurate, and exclusive to you.
Most brands running programmatic display and video are overspending by 30-50% without knowing it. The waste comes from four sources: manual bid rules that don't adapt in real time, high CPMs from broad targeting, agency markups (15-30% on top of media), and paying for DSP features you don't use.
AI creative tools can generate hundreds of ad variants in hours, but most teams have approval processes designed for a world where creative takes days to produce. The bottleneck shifts from production to review.
The Trade Desk is the largest independent DSP and earns its position for enterprise advertisers who run $100K+/month with a full trading desk. But smaller brands are paying for inventory access they don't use, complexity they can't manage, and a UID2 identity framework that doesn't serve their…
Manual ad operations carry hidden costs that never show up in the media budget: trader and analyst salaries ($80-150K), third-party management tools ($20-60K/year), hours spent reconciling platform data, and the opportunity cost of slow optimization cycles.
AI video generation tools promise to eliminate creative production time, but brands that deploy AI-generated video without a review layer consistently hit brand safety, accuracy, and platform compliance issues.
Most brands running programmatic advertising assume they need a dedicated trading desk — a team of analysts who configure bid rules, troubleshoot pacing, and reconcile spend daily. This piece challenges that assumption.
A creator posted an honest six-month update after quitting her job to do Instagram full time. The post reads like a success story on its surface — she covers her basics, some months beat her old salary and she owns her time. But read past the headline and the real story is about volatility.
Most creators grow organically, but scaling often takes paid media—and smart spending starts with knowing your churn and LTV. One creator used this data to run a targeted ad campaign and saw a sustained boost in growth. Discover how to use your numbers to grow faster and spend smarter.
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