Portfolio Pricing Intelligence
Price Architecture Research Services for Enterprise Portfolio and Pricing Strategy Teams
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MainBrain Research combines neuroscience technology, AI-powered analytics, and behavioral science to give enterprise and mid-market teams the consumer intelligence they need to make high-stakes decisions with confidence. Our six specialized divisions cover every dimension of research your business requires, from brand strategy to retail optimization to predictive modeling.
Our Price Architecture Capabilities
What Price Architecture Research Delivers

Cannibalization Risk Assessment

Optimal Tier Structure Identification

Premium Positioning Validation
Trusted by Forward-Thinking Enterprises
The Research Partner Built for Decisions That Actually Matter
MainBrain Research combines neuroscience, AI-powered analytics, and behavioral science to give enterprise teams the consumer intelligence they need to move with confidence. From Fortune 500 brand strategies to mid-market innovation pipelines, our six specialized divisions, Rocket Labb, Bamboo Labb, Logitivo, Revelay, Daisho, and Zland, deliver research that connects directly to business outcomes, not just reports.
- Customer Research: Consumer behavior analysis and segmentation studies
- Market Analysis: Industry sizing, competitive landscape assessment
- Product Validation: Concept testing and demand validation research
- Brand Studies: Brand positioning and messaging optimization research
Why Enterprise Portfolio Pricing Architecture Gets Complex
The Strategic Challenges That Require Research-Evidenced Price Architecture
No Framework for Setting Tier Price Gaps
Enterprise teams managing good, better, and best portfolio configurations frequently set tier price gaps on competitive convention or internal margin targets without consumer evidence about the value gaps those price differences must bridge. Research-evidenced price gaps are more commercially effective.
Cannibalization Blind Spots
Price architecture decisions that optimize individual products in isolation consistently miss the cannibalization dynamics that occur when price gaps between portfolio products are too narrow to maintain consumer differentiation between tiers.
Premium Price Positions That Consumer Perception Does Not Support
Premium price points set above the level that consumer quality perception and brand equity justify produce volume shortfalls and brand positioning problems that undermine the commercial rationale for the premium tier.
Architecture Decisions Made Without Competitive Portfolio Context
Consumer price architecture perceptions are shaped by competitive alternatives as well as internal portfolio structure. Architecture research that ignores the competitive portfolio context produces findings that do not replicate in market.
How MainBrain Delivers Price Architecture Research
The Portfolio Pricing Intelligence Platform Built for Enterprise Complexity
Logitivo Portfolio Price Modeling
Our Logitivo division leads price architecture research, combining conjoint-based value modeling with AI demand simulation to design and test portfolio price architectures against consumer value perceptions and competitive alternatives.
Consumer Value Mapping
We map consumer value perceptions across your portfolio tiers, identifying the specific product attributes, quality signals, and brand associations that justify price differentiation between tiers in consumer perception.
Choice-Based Conjoint Architecture Testing
We use choice-based conjoint analysis to test alternative portfolio price architectures with consumers, measuring share of preference and revenue outcomes under each configuration across consumer segments and competitive contexts.
Tier Price Gap Optimization
Our models identify the optimal price gaps between portfolio tiers by quantifying the consumer-perceived value differentiation at each gap increment and identifying the gap sizes that maintain tier differentiation without creating cannibalization or trade-down risk.
Premium Price Validation
We evaluate whether consumer quality perception and brand equity support the price premium implied by your portfolio's premium tier, identifying where premium positioning must be strengthened before price premium objectives can be achieved.
Competitive Architecture Benchmarking
We benchmark your portfolio price architecture against competitive offerings in consumer perception terms, identifying where your architecture creates competitive advantages and where competitor portfolios are exploiting gaps in your pricing structure.
Choosing mainbrain research
Why Medium to Large Businesses Choose our Market Research Expertise
Our research team understands consumer behavior, regional economic trends, and local competitive dynamics that national firms often miss or overlook.
Established relationships with industry leaders, local focus group facilities, and regional survey panels ensure faster recruitment and higher response rates.
Local presence means face-to-face meetings, immediate support, and understanding of business culture and market nuances that drive successful research outcomes.
Our Logitivo team designs the consumer value mapping research and conjoint architecture study, calibrating the methodology to your portfolio complexity, competitive context, and the revenue modeling precision required for enterprise architecture decisions.
We field the price architecture research across your target consumer segments with samples sized for reliable segment-level analysis and conjoint-based revenue modeling at the accuracy enterprise portfolio decisions require.
Our AI platform models alternative price architectures against consumer value perception data, simulating portfolio revenue and cannibalization outcomes under each configuration across multiple competitive response scenarios.
We deliver consumer value maps for each portfolio tier, conjoint-based architecture comparison across all configurations evaluated, cannibalization analysis, premium positioning assessment, competitive benchmarking, and specific recommendations for the optimal price architecture configuration.
How Our Price Architecture Research Process Works
Our Methodology & output
Professional Research Methods & Quality Standards
Quantitative Research:
- Online Surveys: Statistically valid sampling with confidence intervals
- Market Sizing: Bottom-up and top-down market analysis methodologies
- Pricing Studies: Conjoint analysis and price sensitivity research
Qualitative Research:
- In-Depth Interviews: One-on-one interviews with target customers
- Focus Groups: Moderated group discussions for concept testing
- Observational Research: Ethnographic and behavioral observation studies
Quality Assurance:
- Statistical validity and appropriate sample sizes
- Unbiased questionnaire design and interviewing techniques
- Professional analysis and interpretation of findings
- Clear limitations and confidence interval reporting
MainBrain Business Impact:
- Market Validation Accuracy: 89% of product concepts validated through our research successfully launch in markets
- Customer Acquisition: clients report average 34% improvement in customer targeting effectiveness after implementing our research recommendations
- ROI Performance: Small businesses in typically recover research investment within 6-8 months through improved decision-making and market positioning
Pricing and Revenue Management Leaders
Finance and Commercial Leaders
Strategy and M&A Teams
Who We Serve
Enterprise Teams Managing Complex Portfolio Pricing Strategy
Brand and Marketing Teams
Innovation and New Product Teams
What is price architecture research and how does it differ from standard pricing research?
Frequently Asked Questions
Rocket Labb provides AI-driven solutions to help businesses innovate and optimize. From concept testing to pricing strategies, we deliver fast insights and real-world results to unlock your brand’s potential.
Price architecture research studies the structure of pricing across an entire product portfolio, including the number of price tiers, the price points that define each tier, the gaps between tiers, and how consumer value perceptions support or undermine differentiation across the portfolio. Standard pricing research typically focuses on the optimal price for a single product in isolation. Price architecture research addresses the portfolio-level interactions that determine whether individual product pricing decisions collectively maximize revenue and protect brand equity across the full range.
Price architecture decisions that are made on competitive convention, cost targets, or margin requirements without consumer evidence about value perception consistently produce architectures that either cannibalize higher-margin tiers or leave revenue uncaptured because tier price gaps are too large or too small relative to consumer-perceived value differentiation. Consumer research reveals the specific value gaps and quality signals that justify differentiation between tiers, providing the evidence needed to set tier structures and price gaps that are calibrated to real consumer perception rather than internal financial logic.
Cannibalization occurs when price changes or portfolio restructuring cause consumers to substitute a lower-margin product for a higher-margin one within the same portfolio. Our conjoint-based demand modeling quantifies cannibalization by measuring how consumer choice shifts across portfolio products under alternative price architecture configurations. This allows enterprise teams to evaluate the net revenue impact of architecture changes that increase revenue from one tier while losing it to another, identifying the configurations that maximize total portfolio revenue rather than optimizing individual products at portfolio cost.
Consumer quality perception sets the ceiling for sustainable price premiums at each portfolio tier. Price premium positions that exceed the quality gap consumers perceive between tiers generate trial at premium prices followed by trade-down or abandonment when the perceived value fails to justify the price paid. Our value mapping research identifies the quality perception gap between portfolio tiers from the consumer perspective, ensuring that tier price gaps are calibrated to real perceived value differentiation rather than internal assumptions about product quality differences.
Yes. Price architecture principles apply equally to subscription service, software, financial product, and professional service portfolios as to physical product ranges. We adapt our methodology for the specific value dimensions and tier differentiation logic relevant to service portfolio contexts, including feature set differentiation in software tiers, service level differentiation in professional service packages, and coverage differentiation in financial and insurance products. The core consumer value mapping and conjoint architecture modeling methodology transfers directly across portfolio types.
Consumers evaluate your portfolio price architecture in the context of competitive alternatives, not in isolation. A three-tier portfolio that appears well-structured internally may create competitive vulnerabilities if competitor portfolios are positioned in ways that exploit the gaps between your tiers. Our competitive architecture benchmarking evaluates your portfolio price structure alongside competitive offerings in consumer perception terms, identifying where your architecture creates competitive advantages and where it exposes vulnerabilities that architecture adjustments could address.
A focused price architecture study covering a portfolio of three to eight products completes in eight to twelve weeks from brief to deliverables. More comprehensive programs covering extensive cross-tier value mapping, large consumer samples, or multi-market architecture comparison run twelve to sixteen weeks. We align every project timeline with your pricing review calendar or portfolio planning cycle.
Investment varies by portfolio complexity, number of tiers and products studied, and methodological depth. Focused price architecture programs covering three to five portfolio products typically range from $50,000 to $100,000. Comprehensive multi-tier portfolio architecture programs with extensive conjoint modeling, cannibalization analysis, and competitive benchmarking typically range from $100,000 to $200,000. We provide a detailed investment estimate during the scoping conversation based on your portfolio scope and research objectives.
A focused price architecture study covering a portfolio of three to eight products completes in eight to twelve weeks from brief to deliverables. More comprehensive programs covering extensive cross-tier value mapping, large consumer samples, or multi-market architecture comparison run twelve to sixteen weeks. We align every project timeline with your pricing review calendar or portfolio planning cycle.
Contact our team to arrange a briefing where we discuss your portfolio, the current and alternative architecture configurations under consideration, your consumer segments, and the revenue and brand equity objectives this research must support. We will design a tailored architecture research program and provide a proposal within one week.
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