Thinking clearly about Indian consumer demand

Palette writes about purchase data, not brand mythology. We look at real reorder patterns, shopper cohorts, and what drives durable Indian consumer brands.

Why Reorder Rates Are the Metric Brands Ignore

Why Reorder Rates Are the Metric Brands Ignore

Launch metrics tell you what caught someone's eye once. Reorder rates tell you whether what you built is actually worth coming back for.

Building Consumer Brands for India Using Purchase Data

Building Consumer Brands for India Using Purchase Data

Data-first brand building in India means reading transaction sequences before committing to a category, not after the launch budget is spent.

What AI Can Read in Shopper Reorder Patterns

What AI Can Read in Shopper Reorder Patterns

Machine learning does not predict which brand will win. It identifies which products already have enough repeat demand to justify building a brand around.

Finding Pull Before You Scale

Finding Pull Before You Scale: The Category Test Most Founders Skip

Scaling a product that does not yet have measurable repeat demand is how most Indian consumer brands burn their early capital. The test is simple; the hard part is running it before you scale.

What FMCG Brands Miss When They Enter E-commerce

What FMCG Brands Miss When They Enter E-commerce

Offline FMCG logic and online consumer behaviour diverge sharply once you look at reorder sequences. Most brands do not look. Here is what they are missing.

Reading Regional Demand Signals Across India

Reading Regional Demand Signals Across India

National aggregate data hides the regional patterns that matter for brand positioning. Some of the clearest demand signals in Indian consumer goods only appear when you split by geography.

Common Brand-Building Mistakes Founders Make in India

The Most Common Brand-Building Mistakes Founders Make in India

Category optimism, premature packaging investment, and mistaking social traction for consumer demand: a read of the patterns we see most often in early-stage Indian consumer brands.

How Category Data Changes the Decisions You Make at Launch

How Category Data Changes the Decisions You Make at Launch

The decisions a founder makes in the first six months of a brand's life are shaped largely by what they can see. Category-level reorder data changes what is visible before the first rupee is spent.

The Repeat-Buy Signal

The Repeat-Buy Signal: Why It Matters More Than Acquisition

Acquisition cost gets most of the attention in brand-building conversations. The signal that predicts long-term category viability is quieter and almost entirely underreported.

Understanding Indian Shopper Behavior Through Purchase Sequences

Understanding Indian Shopper Behavior Through Purchase Sequences

Single-purchase events describe what a shopper tried. The sequence of what they bought next, and how soon, describes what they actually rely on. The two pictures are rarely the same.

Brand Building Under Capital Constraints

Brand Building Under Capital Constraints: What the Data Shows

Most Indian consumer brand founders operate under real capital limits. The data shows that the brands that survive and grow are not the ones that raised more; they are the ones that started in categories with already-existing repeat demand.

Why Category Intuition Fails

Why Category Intuition Fails and What to Use Instead

Intuition about what Indian consumers will buy is shaped by what founders themselves buy. The actual reorder patterns across Indian e-commerce categories diverge from personal experience more often than most founders expect.

Have a brand idea worth backing with data? Tell us what you are seeing in the category and why the demand signal matters. Start a conversation