Retail & Consumer

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Retail & Consumer Research and Advisory

Brand intelligence, category strategy, market intelligence, channel and operational analytics, financial modeling, and investment advisory for FMCG companies, e-commerce and Q-commerce operators, D2C brands, consumer durables companies, and the PE and VC funds investing across the retail and consumer value chain.

The Sector Today

The retail and consumer sector is being restructured by three dynamics that are changing where value is created, who captures it, and how long it lasts. The first is the D2C shift. Direct-to-consumer business models have changed the CAC/LTV equation for consumer brands, but the initial D2C margin advantage is compressing as customer acquisition costs on digital platforms rise and the operational infrastructure requirements of D2C fulfilment scale. The D2C unit economics that justified the investment case two years ago need reassessing at current acquisition costs.

The second is Q-commerce. Quick commerce has established delivery speed as a consumer expectation in urban markets across India and Southeast Asia, with spillover effects on established e-commerce players and physical retail formats. The shelf velocity economics of Q-commerce differ materially from those of modern trade, and the working capital and inventory implications for FMCG brands serving Q-commerce platforms require separate financial modeling.

The third is private label. Retailers are investing significantly in private label development across both premium and value segments, using their category data advantage to position house brands against national brand manufacturers. The private label margin dynamics for retailers and the competitive displacement risk for branded FMCG companies are two sides of the same analytical question, and the answer depends on which categories are most exposed.

Underlying all three dynamics is a structural demand bifurcation that mid-tier FMCG brands are navigating in real time. Consumer spending is polarising: higher-income cohorts are increasing premium and premium-adjacent category spending, while price-sensitive cohorts are trading down to value and private label. The mid-tier, the brands positioned neither as clearly premium nor as unambiguously value, face margin pressure from the premium end requiring investment in quality and brand equity, and volume pressure from the value end where private label has closed the quality gap in several categories. The analytical question for a mid-tier brand is not whether this polarisation is happening but which of their categories are most exposed to it and what the financial model looks like under realistic volume scenarios in each direction.

The consumer businesses that will attract institutional capital over the next five years are the ones where the unit economics are real, the brand equity is measurable, and the channel strategy reflects how consumers in the target market are actually shopping, not how they were shopping three years ago.

Who We Serve

FMCG, CPG, and Consumer Brand Companies

Legacy and startup FMCG companies, CPG brands, consumer durables companies, and D2C brands that need category strategy support, brand intelligence, market sizing, competitive analysis, and go-to-market analytics to navigate channel shifts and grow in changing retail formats.

E-commerce, Q-commerce, and Retail Operators

Large e-commerce and quick commerce operators, category-specific retailers, and emerging retail format companies that need operational analytics, channel performance benchmarking, inventory optimisation, and market intelligence to improve category economics and retail execution.

Consumer-Focused PE and VC Investors

PE firms and VC funds with consumer mandates that need independent investment research, target screening, brand and unit economics assessment, portfolio monitoring, and financial modeling to identify and manage positions across consumer brands, retail technology, and D2C platforms.

What We Deliver

Brand & Loyalty Intelligence · Category & Product Strategy · Channel & Operational Strategy · Market Intelligence · Financial & Strategic Growth Planning · Retail PE/VC Advisory

Brand and Loyalty Intelligence

Brand equity analysis, consumer segmentation, and loyalty benchmarking for consumer brands and retailers assessing competitive position, D2C channel dynamics, and shifting purchase behaviour.

Target market segmentation and profiling

high-value customer segment identification using CRM analysis, behavioral data, and consumer research.

D2C and digital experience monitoring

tracking of direct-to-consumer disruptors and digital engagement trends to anticipate competitive threats.

Consumer trend forecasting

assessment of shifts in shopper behaviour, brand sentiment, and channel preferences using behavioral data, sentiment analysis, and survey research.

Omnichannel strategy design

integrated path-to-purchase strategy using channel analytics, performance benchmarking, and consumer journey mapping.

CX and loyalty benchmarking

customer experience gap identification using journey mapping, CRM evaluation, and voice-of-customer analytics.

Analytical Outputs We Produce

D2C unit economics models covering CAC, LTV, payback period, and contribution margin at current customer acquisition cost levels.

Q-commerce channel profitability models covering delivery density economics, fulfilment cost, and dark store operational benchmarking.

Private label displacement risk assessments for FMCG brands across exposed categories and retailer investment patterns.

Category feasibility and market entry studies for new product launches and geographic expansion.

Consumer brand M&A target screening and pitchbooks for consumer-focused fundraising mandates.

Retail performance dashboards tracking footfall, conversion, SKU velocity, and working capital metrics.

Omnichannel strategy assessments integrating physical, e-commerce, and Q-commerce channel performance.

Retail & Consumer in Practice

Case Study

D2C Brand Unit Economics Assessment and Series B Fundraising Support

A consumer-focused PE fund evaluating a co-investment in a D2C personal care brand commissioned Perusal Global for unit economics assessment, competitive landscape analysis, and pre-investment financial modeling. The work covered CAC/LTV analysis at current digital platform acquisition costs, shelf velocity benchmarking against comparable category brands, private label competitive displacement risk assessment, and a three-statement financial model with scenario analysis across three channel mix assumptions. The output informed the fund's co-investment decision and shaped the commercial assumptions in the term sheet.

Frequently Asked Questions

D2C unit economics assessment covers the full customer economics stack: blended customer acquisition cost across all paid and organic channels, average order value and purchase frequency by cohort, gross margin after fulfilment cost, contribution margin after channel cost, and the implied payback period at current acquisition costs. The critical question is whether the payback period has extended as the brand has scaled, which is the most common indicator that the unit economics are not structurally sound and that growth is being funded by investor capital rather than the business model. The analysis also covers cohort retention: whether the first-year purchase frequency of recent cohorts matches the cohorts that informed the LTV assumption in the fundraising model.

D2C versus retail-first assessment covers four dimensions. Customer acquisition cost: D2C brands acquire customers directly and own the relationship data; retail-first brands acquire shelf presence and use the retailer's footfall. Margin structure: D2C gross margins are higher before channel costs but contribution margins after customer acquisition are often lower than they appear. Brand equity: D2C brands build direct consumer relationships; retail-first brands build shelf presence and retailer dependency. Scalability: D2C models are capital-intensive to scale because each new customer requires paid acquisition; retail-first models scale through distribution expansion. Each model requires a different financial model and different assumptions about what the business looks like at exit.

Q-commerce shelf velocity modeling covers sell-through rate per SKU at the dark store level, reorder frequency implied by that sell-through rate, logistics cost per unit for the ten-to-thirty-minute delivery promise, the take rate and listing fee structure of the Q-commerce platform, and net contribution margin per unit after all channel costs. For FMCG brands with high SKU velocity in modern trade, Q-commerce can be a margin-dilutive but strategically necessary channel. The model also captures the working capital difference: Q-commerce platforms typically require faster inventory replenishment cycles than modern trade, which affects cash conversion.

Private label displacement risk assessment covers category-level exposure, retailer investment intent, and brand elasticity. Category-level exposure: which of the brand's categories have the highest private label penetration historically, and which categories are retailers actively investing in? Retailer investment intent: what capital are the major retailers allocating to private label development in this brand's key categories? Brand elasticity: at what price premium can the national brand sustain volume against private label alternatives, and has that elasticity changed as consumers have experienced elevated living costs? The financial model for the branded business needs to scenario-test volume trajectory under private label market share gain assumptions at the category level.

A retail market entry feasibility study covers market sizing, channel strategy, competitive landscape, regulatory requirements, and a financial model for the entry scenario. Market sizing: total addressable spending in the category and the realistic addressable market for the brand's price point and positioning. Channel strategy: which channels are the most viable entry points and what are the unit economics in each? Competitive landscape: who is already serving this consumer segment, at what price, and through which channels? Regulatory requirements: product compliance, labeling standards, import duties, and sector-specific regulations. The financial model covers the capital required to reach profitability, the payback period at different scale assumptions, and the exit options if the market entry does not perform to plan.

Brand equity assessment using loyalty and consumer behaviour data covers four measurable dimensions. Retention and repeat purchase: what proportion of first-time buyers become repeat buyers and what is the purchase frequency trajectory? Loyalty programme engagement: what proportion of the customer base is enrolled, and is there a measurable retention premium for enrolled customers? Brand sentiment and NPS: how do consumer perceptions compare to key competitors, and has sentiment improved or deteriorated as the brand has scaled? Category share of wallet: among loyal customers, what proportion of category spending goes to this brand versus alternatives? These four dimensions provide a more operationally grounded view of brand equity than survey-based tracking studies and translate directly into the assumptions driving the long-term revenue model.

Ready to Work?

The first conversation is about the specific decision your team is facing: a D2C brand that needs unit economics modeling, a retail market entry that needs sizing, a consumer M&A target that needs diligence, or a fund portfolio that needs monitoring across brand and operational performance. We will tell you precisely how we approach it.