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A skincare / beauty D2C brand needing listing-share and price-parity comparison across Nykaa, Amazon, and its own site.

Industry
Beauty • Skincare (D2C)
Channels
India
Engagement
Nykaa • Amazon • Brand-Site
3
Channels Compared
Listing
Share
Price
Parity
Recurring
Cadence

Key Takeaways

Actowiz measured skincare listing share and price parity across three channels — Nykaa, Amazon, and the brand's own D2C site. For each SKU, the pipeline matched the product across channels and compared price to detect parity breaks, while listing coverage per channel revealed share of catalogue. The result was a clear view of where D2C pricing held versus where marketplaces undercut or diverged, and how much of the range each channel actually carried — refreshed on a recurring cadence for trend tracking.

What did the client need?

The client is a skincare D2C brand needing to see two things across Nykaa, Amazon, and its own site: how much of its range each channel carried (listing share) and whether prices held across channels (price parity). Marketplace divergence can quietly erode both brand control and margin.

Actowiz matched each SKU across the three channels, compared price to detect parity breaks, and measured listing coverage per channel.

What made this hard?

  • Cross-channel matching. The same SKU had to be paired across Nykaa, Amazon, and the brand site.
  • Listing-share definition. Share had to reflect how much of the range each channel carried.
  • Price-parity detection. Price breaks across channels had to be surfaced per SKU.
  • Channel structures. Marketplace and D2C sites differ structurally.
  • Trend tracking. Parity and coverage shift over time.

How did Actowiz solve it?

Actowiz built a three-channel matching pipeline measuring listing share and price parity.

Approach
  • Cross-channel matching. Each SKU paired across Nykaa, Amazon, and brand-site.
  • Listing-share model. Range coverage computed per channel.
  • Parity detection. Per-SKU price breaks surfaced.
  • Three-channel pipelines. Normalized into one schema.
  • Recurring capture. Parity and coverage tracked over time.
Data Attributes Extracted
Attribute Description
Product / SKU Skincare product and variant
Matched SKU ID Cross-channel match key
Nykaa Price / Listed ₹ and presence on Nykaa
Amazon Price / Listed ₹ and presence on Amazon
Brand-Site Price / Listed ₹ and presence on brand site
Parity Gap Price break across channels
Listing Share Range coverage per channel
Scrape Date Cycle date

What were the results?

  • Listing-share view. How much of the range each channel carried.
  • Price-parity breaks. Where marketplaces diverged from D2C pricing.
  • Channel control. Where brand pricing held versus eroded.
  • Strategy input. Evidence for channel and pricing decisions.

Project at a Glance

Metric Value
Industry Beauty • Skincare (D2C)
Region India
Channels Nykaa, Amazon, brand-site
Metrics Listing share + price parity
Matching Cross-channel SKU match
Cadence Recurring
Output Listing-share + parity dataset

Client Feedback

"Actowiz showed us how much of our range each channel actually carried and where marketplace prices broke from our D2C line. That's exactly the control we'd been missing."

— Founder, Skincare D2C Brand

Frequently Asked Questions

Q: What is listing share here?

A: How much of the brand's product range each channel actually lists — Nykaa, Amazon, or the brand's own site.

Q: What is price parity?

A: Whether the same SKU holds the same price across channels; breaks show where marketplaces diverge.

Q: Which channels were compared?

A: Nykaa, Amazon, and the brand's own D2C website.

Q: How are SKUs matched across channels?

A: Each product is paired across channels by identifiers for like-for-like comparison.

Q: How often is it refreshed?

A: On a recurring cadence to track parity and coverage over time.

Need listing-share & price-parity intelligence?

Actowiz Solutions builds cross-channel listing-share and parity datasets with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.

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