When selling high-ticket services, don't raise prices incrementally. Instead, make a significant jump (e.g., from $3,800 to $8,000). If it doesn't sell, you've gained valuable market data and can simply re-price the next cohort. The upside of finding a new price ceiling far outweighs the risk of a single failed launch.

With AI enabling precise control over media spend, key performance indicators are changing. Brands now move beyond simple Return on Ad Spend (ROAS) to more sophisticated metrics like incremental ROAS and contribution margin, reflecting a new emphasis on profitable growth rather than just volume.

AI's most significant impact is not just campaign optimization but its ability to break down data silos. By combining loyalty, e-commerce, and in-store interaction data, retailers can create a holistic customer view, enabling truly adaptive and intelligent marketing across all channels.

Product marketers often struggle to prove direct ROI. By influencing pricing strategy, they can make a tangible and measurable impact on revenue and ARR. Pricing is a form of value communication—a core PMM competency—making it a natural area for them to lead and demonstrate their contribution to the bottom line.

AI is creating a fork in marketing strategy. It disrupts traditional demand acquisition channels like search, making it harder and more expensive to get measurable traffic. Simultaneously, it provides powerful new tools to monetize existing demand more effectively. This forces a strategic shift from a volume-based to a value-extraction model.

Instead of manually sifting through overwhelming survey responses, input the raw data into an AI model. You can prompt it to identify distinct customer segments and generate detailed avatars—complete with pain points and desires—for each of your specific offers.

When a new KFC premium product wasn't selling, they doubled the price instead of discounting it. This aligned the price with consumer expectations for a premium item, signaling quality and causing sales to soar. Low prices can imply low quality for high-end goods.

When pressured to hit quarterly targets with promotions, use a simple filter: 'Does this action increase the long-term desirability of my full-price product?' This framework helps balance immediate revenue needs with the crucial goal of protecting and building brand equity, preventing a downward spiral of discounting.

AI platforms like Magic enable high-end restaurants to move beyond reactive service. By analyzing public data like social media and reservation history, they anticipate unstated guest needs to create hyper-personalized experiences, fostering deep loyalty that justifies premium pricing.