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A hot-beverage brand needing share-of-search and assortment-depth measurement for tea versus coffee across q-commerce platforms.

Industry
FMCG • Hot Beverages
Region
India
Comparison
Tea vs coffee
Tea vs Coffee
Category View
Share-of-Search
Measured
Assortment
Depth
Q-Commerce
Coverage

Key Takeaways

Actowiz measured share-of-search across tea and coffee keywords and mapped assortment depth per brand, quantifying both visibility and range for the two sub-categories on q-commerce. Share-of-search — how often a brand appears in the top results for category keywords — signals category momentum and shelf command, while assortment depth shows how much range each brand fields. By capturing search results for defined keyword sets and counting SKUs per brand, Actowiz revealed which terms competitors dominated, where the client's range was too shallow to compete, and how tea and coffee compared on both search visibility and breadth.

What did the client need?

The client is a hot-beverage brand needing to understand category momentum and shelf command — how tea and coffee compare in share-of-search (visibility for category keywords) and assortment depth (how many SKUs each brand fields) on q-commerce.

Actowiz measured share-of-search across tea and coffee keywords and mapped assortment depth per brand, quantifying both visibility and range for the two sub-categories.

What made this hard?

  • Share-of-search definition. Visibility in search results for category keywords had to be measured consistently.
  • Keyword set design. Representative tea and coffee keywords had to be defined.
  • Assortment depth. SKU counts per brand had to be computed comparably.
  • Tea vs coffee split. Results attributed cleanly to each sub-category.
  • Cross-platform capture. Uniform capture across q-commerce.

How did Actowiz solve it?

Actowiz built a share-of-search and assortment-depth pipeline for tea and coffee across q-commerce.

Approach
  • Keyword capture. Search results captured for defined tea/coffee keywords.
  • Share-of-search model. Brand share of top results computed per keyword set.
  • Assortment depth. SKU counts per brand per sub-category.
  • Sub-category split. Results attributed to tea or coffee.
  • Cross-platform capture. Uniform capture across q-commerce.
Data Attributes Extracted
Attribute Description
Brand Tea/coffee brand
Sub-category Tea or coffee
Keyword Search term captured
Search Rank Position in results
Share-of-Search % Brand share of top results
Assortment Depth SKU count per brand
Platform / Date Source and cycle

What were the results?

  • Category momentum. Share-of-search showed tea vs coffee visibility and brand command.
  • Assortment gaps. Where the client's range was thin vs rivals.
  • Keyword insight. Which terms competitors dominated.
  • Growth input. Evidence for range and search strategy.

Project at a Glance

Metric Value
Industry FMCG • Hot Beverages
Region India
Comparison Tea vs coffee
Metrics Share-of-search + assortment depth
Coverage Q-commerce platforms
Cadence Recurring
Output SoS + assortment dataset

Client Feedback

“Actowiz showed us share-of-search and range side by side for tea and coffee. We saw exactly where competitors were owning the search shelf and where our assortment was too shallow to compete.”

— Category Lead, Hot Beverages

Frequently Asked Questions

Q: What is share-of-search?

A: How often a brand appears in the top search results for category keywords — a signal of visibility and momentum.

Q: What is assortment depth?

A: The number of SKUs a brand fields in a sub-category, indicating range and shelf command.

Q: How are tea and coffee separated?

A: Search results and SKUs are attributed cleanly to the tea or coffee sub-category.

Q: How often is it refreshed?

A: On a recurring cadence for ongoing visibility and range 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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