Online groceries

Promotion mechanics & depth of discount

Benchmark the promotion mechanics and depth of discount your online grocery competitors use, from "buy one get one free" to percentage discounts and loyalty incentives. These offers change across thousands of SKUs, which makes them hard to follow. We track them for you, so you know which mechanic each competitor runs and how deep the discount goes.

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

Grocery promotions change across thousands of SKUs

Promotion mechanics hide behind CAPTCHAs, IP blocking, and rate limiting, so in-house tracking of them and their discount depth costs a lot and still leaves gaps in the data. Dedicated specialists in enterprise-grade data scraping, advanced matching, and proxy management deliver accuracy and efficiency while your team stays on strategic execution.

Short-lived offers across thousands of SKUs

Competitors in online groceries keep changing promotion mechanics such as "buy one get one free," percentage discounts, or loyalty incentives, and vary discount depth across thousands of SKUs. Clients describe keeping up as "trying to hit a moving target" or "always being a step behind."

Shoppers lost to better offers

Pricing decisions made without a clear view of competitor promotions and discount intensity risk missing revenue. Customers migrate to more attractive offers, market share erodes, and the bottom line and long-term competitiveness suffer in a price-sensitive online groceries market.

Rate limits and CAPTCHAs on grocery sites

Grocery platforms use dynamic content, CAPTCHAs, IP blocking, and rate limiting to stop automated extraction. Collecting diverse promotion types and depths across multiple competitors needs constant scraper adaptation, proxy rotation, and bot circumvention, which non-specialist teams find difficult and costly to maintain.

Developer churn from scraper maintenance

An in-house team for promotion mechanics and depth of discount data drains internal resources. Skilled developers and data scientists move off core product innovation and strategic initiatives, and the cost shows up as high operational spend, employee churn, and constant scalability struggles.

Our solutions

Promotion and discount depth data for grocery teams

Each promotion we capture is matched to its product after scraping, then checked by hand and run through automated QA. You receive discount depth data ready to compare with your own.

Promotion shifts by competitor and depth

Our systems capture shifts in competitor promotion mechanics and discount depths across online groceries platforms. You receive granular data and can react quickly, with no blind spots in your planning.

Promotions built on competitor data

Precise data on competitor promotion mechanics and discount intensity gives your pricing and marketing teams a base for their strategies. With it, you can optimize pricing, run more effective promotions, reclaim market share, and boost revenue and profitability.

A 99.9% uptime SLA on promotion data

A dedicated team of scraping experts works with proprietary anti-bot circumvention technology and intelligent proxy networks to get past complex platform defenses. Promotion data flows consistently at scale, backed by a 99.9% uptime SLA.

Engineers off data upkeep

Your in-house teams no longer spend time on data acquisition, infrastructure, and maintenance. We deliver analysis-ready promotion data through a fully managed Data-as-a-Service model, and your engineers and data scientists focus on innovation and growth with far less operational overhead.

Other use cases

Promotion tracking and related grocery use cases

Promotion analysis is one of several online groceries use cases we handle for enterprise clients, from scraping to intelligent matching and full infrastructure management. You can browse them 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 grocery promotions with our team

A dedicated online groceries specialist who knows promotion mechanics and depth of discount will speak with you. Submit your details, and they will discuss your precise data requirements.

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