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To avoid debates over misleading metrics like ROAS, marketing technology should be configured to optimize directly toward the client's own "source of truth." This could be Google Analytics, Adobe Analytics, or a complex marketing mix model, ensuring total alignment on what constitutes success.

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ROAS (Return on Ad Spend) is a vanity metric that can mask unprofitable customer acquisition. By focusing on POAS (Profit on Ad Spend), brands are forced to measure the actual profit generated from advertising, linking marketing directly to bottom-line health and avoiding the trap of 'growing broke'.

Don't get distracted by proxy metrics like CPC or CPM. Define a single "king goal" for your business, such as a target ROAS or CPA. If this one crucial metric is on target, you can confidently ignore fluctuations in all the others and focus on what truly drives the business.

Due to signal loss from cookie deprecation, no single model like MTA or MMM is sufficient. The new gold standard is using all available algorithms together in a machine learning framework, allowing them to influence each other for a more accurate ROI picture.

While a performance dashboard is important, a data-driven culture bakes analytics into every step of the marketing system. Data should inform foundational decisions like defining the ideal client profile and core messaging, not just measure the results of campaigns.

While AI tools dramatically increase content production speed, true ROI is not measured in output. Leaders should track incremental engagement, conversion lift, and revenue per message. An often overlooked KPI is brand consistency—how often content passes governance checks on the first try.

Instead of judging each marketing channel's Return on Ad Spend (ROAS) in isolation, contractors should measure overall ROAS. This approach accounts for the entire customer journey and exposes whether operational weaknesses, not just marketing, are hindering revenue generation from incoming leads.

Report tactical metrics like impressions and cost-per-lead to marketing leadership for campaign optimization. For business leaders, present outcome-focused data like account penetration, high-intent accounts, and sales engagement rates. This tailors the story to what each audience values and prevents confusion.

Marketers fixate on efficiency metrics like ROAS. The real goal is maximizing profit. A lower, but still profitable, ROAS can allow for greater scale, more customers, and ultimately more money in your pocket at the end of the month.

Relying solely on ROAS is outdated. A comprehensive strategy requires a three-tiered approach: daily attribution for media buyers, incrementality studies for media planners, and longer-term Marketing Mix Models (MMMs) for CMO-level strategic decisions.

The true impact of marketing AI is obscured by short-term metrics like click-through rates. Pega's Tara DeZao advocates using Customer Lifetime Value (CLV) as the primary KPI to align AI-driven activities with genuine, sustainable business growth over fleeting campaign performance.