A health-supplement brand needing ₹/gram-protein normalized comparison of D2C challengers versus legacy brands across marketplaces.

Industry

Health & Wellness • Supplements

Region

India

Comparison

D2C vs legacy

D2C vs Legacy

Positioning

₹/g-Protein

True Value

Marketplace

Coverage

Serving-Level

Normalization

Contact Sales

Key Takeaways

Actowiz normalized protein-supplement pricing to ₹ per gram of protein using serving size and protein-per-serving, comparing D2C challengers against legacy brands on genuine value across marketplaces. In a market where tub sizes and protein concentrations vary widely, sticker price hides real value; ₹/gram-protein exposes it. By parsing servings and protein content per SKU, classifying each brand as D2C or legacy, and comparing on this honest metric, Actowiz showed exactly where challenger brands were beating incumbents on value — reframing the client's positioning and pricing with evidence rather than tub-price impressions.

What did the client need?

The client operates in India's booming protein-supplement market, where D2C challengers compete against legacy brands and tub prices hide true value. What matters is ₹ per gram of actual protein delivered — not the price of the container.

Actowiz normalized supplement pricing to ₹/gram-protein using serving size and protein-per-serving, comparing D2C and legacy brands on genuine value across marketplaces.

What made this hard?

Tub-price illusion. Different tub sizes and protein concentrations make sticker price meaningless.
Protein-per-serving basis. ₹/gram-protein needs serving size and protein content parsed per SKU.
D2C vs legacy tagging. Brands classified into D2C or legacy for the core comparison.
Variant sprawl. Flavours and sizes multiply SKUs, needing careful mapping.
Marketplace breadth. Comparable capture across relevant marketplaces.

How did Actowiz solve it?

Actowiz built a supplement pricing pipeline normalizing to ₹/gram-protein and classifying D2C vs legacy.

Approach

Serving & protein parsing. Serving size and protein-per-serving captured per SKU.
₹/gram-protein model. Price normalized to ₹ per gram of protein.
D2C vs legacy tagging. Brands classified into camps.
Variant handling. Flavours/sizes mapped to the same product family.
Marketplace capture. Comparable capture across marketplaces.

Data Attributes Extracted

Attribute	Description
Brand	Supplement brand
Camp	D2C or legacy
SKU / Flavour / Size	Product variant
Serving Size	Grams per serving
Protein per Serving	Grams of protein
Price	₹ listed price
₹ per g-Protein	Normalized value
Marketplace / Date	Source and cycle

What were the results?

True value comparison. ₹/gram-protein exposed real value beyond tub price.
D2C vs legacy read. How challengers stacked up on genuine value.
Positioning clarity. Where the client's value stood in the market.
Pricing input. Evidence for pack and price strategy.

Project at a Glance

Metric	Value
Industry	Health & Wellness • Supplements
Region	India
Comparison	D2C vs legacy brands
Metric	₹/gram-protein
Basis	Serving size × protein content
Coverage	Marketplaces
Output	Value-comparison dataset

Client Feedback

“Everyone sells on tub price, but value is ₹ per gram of protein. Actowiz normalized the whole category to that number and showed exactly where the D2C brands were beating the legacy ones.”

— Founder, D2C Supplement Brand

Frequently Asked Questions

Q: What is ₹/gram-protein?

A: Price divided by the grams of actual protein delivered — a true value metric that tub price hides.

Q: How is protein content captured?

A: Serving size and protein-per-serving are parsed per SKU to compute the per-gram value.

Q: How are D2C and legacy compared?

A: Each brand is tagged D2C or legacy, then compared on ₹/gram-protein.

Q: How often is it refreshed?

A: On a recurring cadence for ongoing value tracking.

Need a custom data pipeline for your category?

Actowiz Solutions designs custom, large-scale scraping and market-intelligence pipelines with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.

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