Online groceries

Private label assortment & pricing

Competitor private label data on assortments, stock levels, and pricing is often outdated or incomplete, so online grocery teams react instead of plan. We track these own-brand products, which compete with national brands on price and quality, so you can plan your private label portfolio around what competitors actually stock and charge.

Enterprise scraping and matching from 5,000+ sources.

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  • Uber Eats
  • Getir
  • Eventim
  • Booking.com
  • Audible
  • Skyscanner
Common problems

Private label products are hard to match across catalogs

Own-brand products carry subtle naming variations across competitor catalogs, so in-house teams spend heavily on collection and matching and still end up with incomplete data. Dedicated specialists in web scraping, advanced data matching, and proxy management keep data quality and operational efficiency high and free your core team.

Outdated own-brand assortment data

Online groceries companies struggle to get precise data on competitor private label assortments, stock levels, and pricing changes. Clients often receive outdated or incomplete information, so own-brand decisions turn reactive and private labels are harder to position.

Price moves made too late

Poor data on private label rivals delays reactions to market shifts and costs chances for competitive pricing or product introduction. Market share and profitability shrink, and the advantage private labels should bring weakens on the bottom line.

Lookalike products across catalogs

Anti-bot technology and dynamic content loading make private label data hard to scrape reliably at scale. Matching identical or comparable own-brand products across competitor catalogs, with subtle naming or description variations, also takes advanced algorithms and continuous refinement that non-specialist teams lack.

In-house upkeep that limits scale

Private label intelligence handled in-house diverts engineering and data science resources from core product development. Website changes, proxy management, and data quality checks create a constant, resource-intensive burden that stifles innovation and limits business scalability.

Our solutions

Private label assortment and price data for your own brands

Own-brand products only compare once their naming variations are matched. We scrape competitor catalogs, match the private label items, check them manually, and run automated QA, so the data you receive is ready for portfolio decisions.

High-fidelity competitor own-brand data

You receive high-fidelity data on competitor private label assortments and pricing strategies, with the precision informed decisions need.

Proactive private label adjustments

Better competitive data lets your team adjust private label offerings proactively, seize market opportunities, defend market share, and maximize profit margins.

Machine learning product matching

Our specialized infrastructure gets past advanced anti-scraping technology, and proprietary machine learning matches products across platforms with high accuracy. Collection stays consistent and reliable at scale.

Engineers on high-value initiatives

As a fully managed service, we remove the need for costly in-house data acquisition teams. Your core engineers and data scientists put their expertise into high-value strategic initiatives.

Other use cases

Beyond private label: related online grocery use cases

Private label tracking draws on the same advanced scraping, intelligent matching, and proxy infrastructure we run for the online groceries use cases below.

Out-of-stock (OOS) & availability alerts

See which competitor grocery products go out of stock and which delivery slots fill up, platform by platform. Book a demo.

Online groceries

Numeric distribution (ND) & product density

See where your brand is thin on the shelf with numeric distribution and product density across online grocery storefronts. Book a demo.

Online groceries

KVI & basket value analysis

Find the price-sensitive products that drive online grocery spending and cart value, matched across grocers. Book a demo.

Online groceries

Inventory turnover signals

Anticipate market shifts by seeing how quickly online grocery competitors move stock, from fresh produce to shelf-stable goods. Book a demo.

Online groceries

Delivery areas & dark store locations

Plan your expansion with the delivery areas and dark store locations of online grocery competitors.

Online groceries

Competitor ratings & review sentiment

Learn where shoppers rate rival online grocery services higher or lower, from platforms, social media, and app stores. Book a demo today.

Online groceries

Cart fees & service surcharges

See how rival online grocers price the cart, with delivery, service, and small order fees by location and basket size. Book a demo today.

Online groceries

Average ETA vs. distance

Average ETA vs. distance data for online groceries: competitor delivery estimates by distance, from our managed data service. Book a demo today.

Online groceries

Assortment gap analysis

Assortment gap data for online groceries: find the products and categories competitors offer and you do not, from our managed service. Book a demo.

Online groceries

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Benchmark competitor private labels with us

Private label assortment and pricing is a specialty of the dedicated online groceries data specialist you will speak with. If you want to discuss your specific competitive intelligence needs, they are ready.

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