Beauty Intelligence Database
Mintoiro’s Beauty Intelligence Database (BID) is a proprietary, beauty-exclusive research infrastructure built to map the global beauty industry at scale. It is a manually curated, continuously expanding dataset that integrates brand-level strategy, product-level execution, retail ecosystems, visual identity systems, and longitudinal social performance into a single analytical foundation.
Beauty Intelligence Database (BID)
Unlike generalist research platforms, Beauty Intelligence Database focuses solely on beauty. This category-specific concentration enables deeper structural coding, more precise cross-category comparisons, and clearer pattern recognition over time. The database powers Mintoiro’s trend forecasts, brand archetype reports, and strategic consulting, while social performance insights are derived from the Brand Trend Index (BTI), Mintoiro’s proprietary ranking system for measuring brand momentum across social platforms.
BID consists of two interconnected systems:
-
Beauty Brand Intelligence Database (BBID)
-
Beauty Product Intelligence Database (BPID)
Together, they allow structural analysis of how beauty brands are built, how products are designed and positioned, and how both evolve in response to shifting consumer demand.
Beauty Brand Intelligence Database
The Beauty Brand Intelligence Database (BBID) maps over 20,000 beauty brands across 89 countries and all continents. It is built not merely to catalogue brands, but to structurally analyse how they are conceived, positioned, distributed, and sustained within the global beauty ecosystem.
Each brand is manually coded across multiple analytical layers. This structured approach enables longitudinal tracking of strategic direction, visual evolution, ownership dynamics, and market momentum over time. Rather than capturing isolated data points, the database is designed to map how brands function as systems within a competitive landscape.
Brand Structure and Ownership
This layer captures the foundational architecture of each brand. Category focus, pricing level, certifications, brand type, and year founded are recorded to establish market positioning within a broader competitive hierarchy.
Ownership structures are mapped in detail, including parent companies, incubators, and founder background. This allows for analysis of how corporate context, independent founding models, or incubator-led strategies correlate with positioning, pricing logic, and long-term growth trajectories.
Retail distribution is tracked across more than 500 global retailers, with retailer type, geographic presence, and pricing context taken into account. This enables evaluation of distribution strategy, tier alignment, and expansion patterns across markets.
Together, these structural variables provide a clear view of how brands are built and where they sit within the global beauty infrastructure.
Positioning Logic and Competitive Framing
Beyond structural attributes, BBID captures how brands articulate themselves strategically. Positioning language, target audience, and core selling points are systematically coded to allow comparative analysis of strategic differentiation across categories.
This makes it possible to identify recurring claims, emerging benefit territories, and shifts in emphasis within the market. Patterns can be tracked across geographies, price tiers, and brand types to determine whether positioning movements reflect short-term marketing cycles or longer-term structural shifts.
Because the database is exclusively beauty-focused, comparisons remain internally coherent. Category logic is analysed within the context of the beauty industry rather than diluted by cross-sector aggregation.
Visual Identity Systems
The database captures how brands express their positioning visually. Brand color palettes, dominant colour logic, typography style, logo construction, spacing logic, and overall design tier are recorded to support cross-category aesthetic analysis.
This allows examination of how design systems align with pricing level, target audience, and positioning strategy. For example, minimalist clinical typography can be evaluated against luxury serif systems or expressive high-contrast palettes across markets.
Historical logos and archived brand imagery enable longitudinal tracking of repositioning efforts and identity evolution. This makes it possible to analyse whether visual shifts precede, follow, or coincide with strategic changes and performance inflection points.
Social Momentum Tracking
Social performance is tracked monthly across Instagram and TikTok, including followers, engagement rate, activity levels, and growth dynamics. This longitudinal dataset enables comparative analysis of sustained momentum rather than isolated spikes in visibility.
The data feeds directly into Mintoiro’s Brand Trend Index, which evaluates relative brand traction across platforms while applying temporal smoothing to reduce volatility. This structure allows differentiation between brands experiencing durable acceleration and those benefiting from short-lived virality.
By integrating social performance with structural and visual coding, BBID enables analysis of how positioning, design systems, ownership context, and market momentum interact over time.
Beauty Product Intelligence Database
The Beauty Product Intelligence Database (BPID) extends this analysis to more than 30,000 products from over 6,000 brands across skincare, makeup, haircare, fragrance, and bodycare. It is built to examine how trends materialise at the product level, translating brand strategy into formulation, format, packaging architecture, and visual execution.
Each product is manually coded across multiple analytical dimensions. This allows granular cross-category comparison of how structural shifts in positioning, ingredients, design systems, and sensorial logic move through the market over time. Rather than treating products as isolated launches, the database enables evaluation of how they function within broader category movements.
Product Architecture and Claims Structure
This layer captures how products are formulated, structured, and positioned within their respective categories. Category, format, release year, pricing level, ingredient lists, highlighted actives, and stated benefits are recorded to allow comparative analysis of formulation logic and claims architecture.
Category-specific attributes such as SPF filters, perfumers, shade systems, and format variants are tracked where relevant. This enables evaluation of how innovation moves across price tiers, geographies, and brand types, and how ingredient narratives evolve from niche positioning to mainstream adoption.
By structuring product data in this way, it becomes possible to distinguish between isolated ingredient trends and broader shifts in formulation philosophy.
Packaging Construction and Design Logic
Beyond formulation, BPID captures how products are materially and visually constructed. Packaging type, material, applicator systems, component shape, typography style, layout treatment, and overall design themes are recorded to analyse structural shifts in packaging architecture.
This allows tracking of format innovation, material transitions, sustainability positioning, and the convergence or divergence of design codes across categories. Packaging logic can be examined in relation to price tier, target audience, and positioning strategy, revealing how physical form supports strategic intent.
Rather than observing aesthetic trends anecdotally, this structure enables measurable comparison of design execution across thousands of SKUs.
Colour Systems and Aesthetic Coding
Products are tagged using a structured, manually curated colour taxonomy currently comprising 132 defined shades, with additional shades added as the market evolves. Each product is assigned one primary colour and multiple secondary colours, enabling analysis of dominant tones as well as full colour compositions.
Shades are grouped into broader colour families and classified by tonal characteristics, allowing filtering across both broad categories and highly specific combinations. This makes it possible to examine, for example, pale cool pink paired with deep wine red, grey packaging with neon green accents, or the prevalence of high-contrast versus analogous colour systems.
Additional tagging captures text colour (black, white, or coloured), cap colour logic, and whether components are matched, contrasting, metallic, or custom-toned. This structure supports detailed analysis of how colour is deployed across categories and how aesthetic movements evolve over time.
Visual Documentation and Longitudinal Archiving
Primary product imagery, secondary packaging visuals, lifestyle assets, and texture photography are archived to support longitudinal visual analysis. This ensures that aesthetic movements are evaluated in parallel with formulation logic and performance signals rather than in isolation.
By integrating structural coding with visual documentation, BPID enables comprehensive analysis of how product-level execution reflects broader strategic and cultural shifts within the beauty industry.
How the Beauty Intelligence Database Is Used
The Beauty Intelligence Database functions as the analytical foundation behind Mintoiro’s trend forecasts, brand archetype mapping, social performance rankings, and strategic consulting engagements. By integrating brand structure, product architecture, visual systems, retail ecosystems, and longitudinal performance data, it enables structured cross-category interpretation rather than anecdotal observation.
Because the database captures both strategic intent and measurable market response, it supports long-cycle analysis of how positioning, design, and formulation logic evolve over time. Patterns are evaluated across geographies, price tiers, and brand types to distinguish structural shifts from short-term noise.
The database is continuously expanded, with new brands and products added on an ongoing basis to reflect the evolving competitive landscape. It is not a public-facing tool, but a proprietary research infrastructure designed to ensure that every Mintoiro report is grounded in comprehensive, longitudinal industry coverage.
