The world’s largest consumer packaged goods companies invest tens of millions of dollars annually in brand health tracking. For companies like Procter & Gamble and SC Johnson, brand health data is not a marketing nice-to-have — it is operational infrastructure that informs portfolio strategy, media allocation, innovation pipelines, and competitive response. Understanding how these organizations approach brand tracking provides both a benchmark for other companies and a window into how the discipline is evolving.
P&G and SC Johnson represent meaningfully different models. P&G operates 65+ brands across virtually every consumer category, requiring standardized tracking that enables portfolio-level comparison. SC Johnson operates a more concentrated portfolio of trusted household brands, requiring tracking that reflects the company’s emphasis on long-term trust and family-brand stewardship. Their approaches differ in structure, emphasis, and philosophy — but both are grappling with the same fundamental challenge: quantitative tracking tells them what is changing but not why.
This analysis draws on publicly available information from investor communications, industry conference presentations, published case studies, and research methodology discussions. It does not represent proprietary internal processes but rather the observable approaches these organizations have described publicly.
P&G’s Brand Health Architecture
Procter & Gamble is the largest advertiser in the world, spending approximately $8 billion annually on marketing across brands including Tide, Pampers, Gillette, SK-II, Olay, and dozens of others. Brand health tracking at this scale requires infrastructure that most organizations never need to build.
The Standardized Metric Framework
P&G has publicly discussed its commitment to standardized brand health metrics across its portfolio. The company operates what industry observers describe as a centralized insights architecture — a common set of brand health indicators that every brand team tracks, enabling comparison across categories, geographies, and time periods.
The core metrics P&G tracks align with the standard brand health framework but with CPG-specific emphasis. Unaided brand awareness measures mental availability — whether consumers think of the brand when the category need arises. This matters more in CPG than in many other categories because purchase decisions are often made rapidly at shelf, and the brand that comes to mind first has a structural advantage. Purchase consideration measures whether consumers would include the brand in their decision set. Brand equity drivers — the specific associations that differentiate the brand and predict choice — are tracked through attribute association studies that measure which qualities consumers attach to each brand in the category.
P&G has historically emphasized what it calls “consumer decision journeys” — understanding not just where the brand stands on static metrics but how consumers move through awareness, consideration, trial, and loyalty. This journey-based tracking adds a dynamic layer to standard brand health measurement, revealing where in the decision process consumers are being won or lost.
The Multi-Source Data Infrastructure
P&G’s brand health data comes from multiple sources operating at different speeds and granularities. Syndicated panel data from providers like Kantar, Nielsen, and Circana provides continuous market share and penetration metrics. Proprietary consumer tracking surveys — run quarterly or semi-annually depending on the brand and market — provide brand health metrics including awareness, consideration, and equity scores. Category deep-dives — commissioned studies focused on specific strategic questions — provide diagnostic depth when metric movements require explanation.
The company has invested heavily in integrating these data sources into unified dashboards that brand teams can access in near-real-time. P&G’s former Chief Brand Officer Marc Pritchard has spoken publicly about the company’s push to make brand health data accessible and actionable at the brand team level, rather than trapped in insights department reports that arrive weeks after the data was collected.
This multi-source approach reflects a fundamental CPG reality: no single data source captures the full picture of brand health. Sales data shows what consumers bought but not why. Survey data shows what consumers say but not what they do. Social data shows what consumers discuss publicly but not what they think privately. Effective brand health tracking synthesizes across sources — a capability that requires both technology infrastructure and analytical expertise.
SC Johnson’s Trust-Centric Approach
SC Johnson, a family-owned company operating brands including Raid, Glade, Ziploc, Windex, and Mrs. Meyer’s Clean Day, approaches brand health tracking with a different philosophy. As a privately held company without quarterly earnings pressure, SC Johnson has historically emphasized long-term brand stewardship over short-term metric optimization.
Brand Trust as the North Star
SC Johnson’s publicly stated emphasis on trust — both in its consumer brands and its corporate reputation — shapes its approach to brand health measurement. The company has been vocal about ingredient transparency, sustainability commitments, and what it describes as a multi-generational approach to brand building. These values influence which brand health metrics the organization prioritizes.
Where P&G’s publicly discussed framework emphasizes mental availability and purchase funnel metrics, SC Johnson’s approach — based on its public communications — places particular weight on trust metrics, ingredient transparency perception, and brand-values alignment. The company’s decision to disclose product ingredients (ahead of regulatory requirements) and its public sustainability commitments suggest a brand health philosophy where consumer trust is not one metric among many but the foundational indicator.
This is consistent with research from the Ehrenberg-Bass Institute showing that for household product categories — cleaning, pest control, food storage — trust and perceived safety are disproportionately influential in brand choice compared to categories like snacks or beverages where taste and variety drive more of the decision. SC Johnson’s brand health tracking appears to reflect this category-specific dynamic.
The Category-Specific Measurement Approach
SC Johnson’s portfolio spans categories with meaningfully different purchase dynamics. Pest control (Raid, OFF!) involves perceived personal safety and efficacy. Air care (Glade) involves sensory experience and home identity. Food storage (Ziploc) involves functional reliability and convenience. Cleaning (Windex, Scrubbing Bubbles) involves efficacy and safety. Home fragrance (Mrs. Meyer’s) involves ingredient consciousness and aesthetic values.
Rather than forcing a single tracking framework across these categories, SC Johnson’s publicly described approach allows category-specific emphasis within a shared measurement architecture. Trust and safety metrics carry more weight in pest control tracking. Sensory satisfaction and emotional associations carry more weight in air care. This category-adaptive approach reflects the reality that brand health drivers are not universal — what makes a pest control brand healthy is fundamentally different from what makes a home fragrance brand healthy.
Where Both Companies Face the Same Challenge
Despite their different structures and philosophies, P&G and SC Johnson face the same fundamental limitation in their brand health tracking: quantitative survey infrastructure tells them what is changing but struggles to explain why.
The Diagnosis Gap
When P&G’s brand tracking shows that Tide’s consideration score dropped 3 points among millennial households, the metric identifies the problem but not the cause. Is it a competitive move (a new detergent brand gaining traction)? A messaging misalignment (campaigns that do not resonate with younger households)? A product experience issue (consumers who switched to concentrated formulas and found them inadequate)? A cultural shift (younger consumers preferring brands that emphasize environmental positioning over cleaning power)? Each cause implies a different response, and the quantitative data cannot distinguish between them.
SC Johnson faces the same challenge. If Ziploc’s trust scores decline among health-conscious consumers, the decline could reflect concerns about plastic, about chemical migration, about sustainability credentials, or about competitive alternatives like silicone storage. The survey data shows the decline. It does not explain the reasoning.
Both organizations have historically addressed this gap through commissioned qualitative research — focus groups and depth interviews conducted by research agencies when metric movements demand explanation. The limitation of this approach is speed and cost. Traditional qualitative research takes 4-8 weeks and costs $15,000-$50,000 per study, creating a structural delay between detecting a metric change and understanding it. By the time the qualitative diagnosis arrives, the brand team has often already chosen a response based on their best guess.
The Emerging Shift to Qualitative at Scale
The CPG industry is increasingly experimenting with approaches that close the diagnosis gap without the time and cost penalties of traditional qualitative research. AI-moderated depth interviews represent the most significant methodological shift in this space — the ability to run 200-300+ depth interviews in 48-72 hours at costs comparable to a single focus group session.
For organizations like P&G that need to track 65+ brands across 180+ markets, the economics are transformative. A quarterly qualitative brand health study that previously cost $30,000-$50,000 and took 6 weeks can now be executed for $2,000-$5,000 in 48-72 hours. This changes qualitative brand tracking from an occasional supplement to a continuous diagnostic layer that runs alongside quantitative tracking.
For organizations like SC Johnson that emphasize trust and values alignment, the depth of AI-moderated conversations is particularly relevant. Trust is not a binary — it is a complex construct that operates at multiple levels (functional trust, emotional trust, values trust, identity trust). Survey-based tracking can measure trust on a scale. Depth interviews reveal what consumers mean by trust for a specific brand, which trust dimensions are strongest and weakest, and what events or experiences would damage or strengthen trust. This granularity is essential for brands whose health depends on trust quality, not just trust score.
Lessons for Other Organizations
The P&G and SC Johnson approaches to brand health tracking offer several principles that apply to organizations of any size.
Standardize Metrics, Customize Context
Both companies maintain consistent core metrics while allowing category-specific and market-specific adaptation. This balance — standardized enough for portfolio comparison, flexible enough for category relevance — is the architectural principle that makes brand health tracking useful rather than bureaucratic. Organizations building their own tracking programs should define 5-7 core metrics that apply across all brands, then allow brand teams to add 3-5 category-specific metrics that reflect their particular competitive dynamics.
Invest in Baseline Before You Need Diagnosis
Both companies maintain continuous tracking rather than researching only when problems appear. The value of brand health tracking is in the trend line — and a trend line requires at least four data points before it becomes meaningful. Organizations that only commission brand research when metrics look bad are always operating without the baseline needed to assess whether current numbers represent a decline, a fluctuation, or a pre-existing condition.
Brand health tracking programs should begin with at least two quarters of baseline measurement before attempting to use the data for decision-making. This means starting tracking before a crisis, before a repositioning, and before a competitive threat — when the investment feels least urgent but produces the most value.
Pair Detection with Diagnosis
The most important lesson from observing P&G and SC Johnson’s evolution is that quantitative tracking without qualitative diagnosis produces data without direction. Knowing that a metric moved is valuable. Knowing why it moved is actionable. The industry’s shift toward hybrid tracking — combining survey-based metric monitoring with depth interview-based diagnosis — reflects a maturation in how brand health data is used. The organizations that invest in both layers consistently make better-informed decisions than those that rely on metrics alone.
Make Data Accessible to Decision-Makers
P&G’s publicly discussed emphasis on making brand health data accessible to brand teams — not trapped in insights department silos — reflects a principle that determines whether tracking investments produce organizational value. Brand health data that reaches decision-makers in days rather than weeks, in dashboards rather than decks, and with diagnostic context rather than raw numbers changes how organizations respond to brand challenges. The technical infrastructure matters less than the organizational principle: the people who make brand decisions should have direct access to brand health data.
The Future of CPG Brand Health Tracking
The CPG industry is approaching an inflection point in brand health tracking methodology. The infrastructure that P&G and SC Johnson built over decades — syndicated panels, quarterly surveys, commissioned focus groups — was designed for an era when data collection was expensive and analysis was manual. That era is ending.
AI-moderated research platforms are enabling what the CPG brand health tracking guide describes as always-on qualitative brand intelligence — continuous conversational research that supplements quantitative tracking with real-time diagnostic depth. This does not replace the quantitative infrastructure. It completes it. The quantitative tracker detects that something changed. The qualitative layer, running in parallel, explains what changed and why.
For organizations building brand health programs today, the lesson from P&G and SC Johnson is not to replicate their exact infrastructure — which was built for specific organizational needs at specific scales — but to adopt their underlying principles: consistent measurement, category-aware metrics, continuous baselines, and the integration of quantitative detection with qualitative diagnosis. The tools available to execute these principles are now dramatically faster, more affordable, and more accessible than what the largest CPG companies built over the past two decades. The methodology is proven. The economics have changed.