Real-Time Brand Visibility via Q-Commerce Data

Introduction

In today’s competitive Q-Commerce ecosystem, brand visibility is as critical as pricing or promotions. With platforms like Blinkit (India), Talabat Mart (UAE), Flink (Germany), GoPuff (UK), and FairPrice (Singapore), brands must ensure that their products are being seen—not just stocked.

Actowiz Solutions developed an AI-powered analytics system that extracts real-time Q-Commerce data across geographies, generating brand visibility reports that track how often, how prominently, and how competitively each brand appears across platforms.

Client Objectives

Monitor SKU visibility and ranking across Q-Commerce platforms in multiple countries
Track share of digital shelf (SOS) vs. competitors at a regional and category level
Measure frequency and placement of brand promotions or banners
Analyze visibility gaps across cities, time slots, and app placements
Deliver insights to improve brand recall, activation campaigns, and search presence

Challenges Faced

Data formats varied across platforms and countries
Real-time updates required scraping every 15–30 minutes for accuracy
SKU naming conventions, categories, and visibility layouts were inconsistent
No unified view of brand presence across Q-Commerce regions
Brand search rankings changed dynamically based on time, demand, and inventory

Actowiz’s AI-Powered Data Approach

1. Real-Time Scraping Across Platforms

Actowiz extracted data from:

Blinkit (India) – Product tiles, carousel positions, keyword-based search results
Talabat Mart (UAE) – Homepage banners, product category listings
Flink & Gorillas (Germany) – Search visibility by SKU and category
GoPuff (UK) – Brand banners, discount placements
FairPrice (Singapore) – Brand filters, sponsored product placements

2. Key Data Points Captured

Platform	City	Brand	SKU Count	Search Rank	Promo Slot	Homepage Banner
Blinkit	Delhi	Surf Excel	8	3rd	Yes	No
Talabat Mart	Dubai	Nestlé	12	2nd	No	Yes
GoPuff	London	Doritos	5	5th	Yes	Yes
FairPrice	Singapore	Alpro	6	1st	Yes	No

Insight: Nestlé had great banner visibility in Dubai but low search rank in Singapore.

3. AI Models and Analytics Deployed

Computer Vision (OCR + Layout Detection) – To read banner, ad tile, and promo image metadata
Named Entity Recognition (NER) – To identify and normalize brand names across listings
Ranking Models – To calculate average brand position by keyword and time
Share of Shelf Algorithms – To compute percentage share of visible SKUs within categories
Geo-Clustered Insights – To identify region-specific gaps in brand presence

Core Dashboard Features

Feature	Description
Brand Visibility Tracker	View SKU count, rank, and SOS by platform and country
Keyword Search Rank Monitor	Analyze how often a brand appears in top 5 search results
Promo Presence Heatmap	Visualize brand exposure via banners, discount flags, and carousels
Time-of-Day Visibility Graph	Track brand prominence during peak order hours (e.g., 8–11am, 5–9pm)
City vs. City Comparison	Benchmark visibility gaps within country (e.g., Delhi vs. Mumbai)

Multi-Country Monitoring Coverage

Actowiz’s visibility reports covered 5 major regions:

India – Blinkit, Zepto, Instamart

Tracked in: Mumbai, Delhi, Bangalore, Hyderabad
Focus: FMCG, snacks, hygiene, milk, personal care

Germany – Flink, Gorillas

Tracked in: Berlin, Munich, Frankfurt
Focus: Dairy, beverages, baby products, organics

United Kingdom – GoPuff

Tracked in: London, Manchester, Birmingham
Focus: Alcohol, snacks, bakery, household

Singapore – FairPrice Online

Tracked in: Tampines, Jurong, Central, East Coast
Focus: Fresh food, supplements, beverages

UAE – Talabat Mart, Carrefour Online

Tracked in: Dubai, Abu Dhabi, Sharjah
Focus: Imported brands, dairy, condiments

Impact Delivered After 8 Weeks

Performance Metrics:

KPI	Before Actowiz	After Actowiz
Brand Search Rank Tracking	Manual	Automated
Share of Shelf Accuracy	<45%	92%+
Promo Slot Visibility Tracking	Unavailable	100% Mapped
Brand Actionability (insights/week)	<2	20+ per brand
Regional Gap Identification	Inconsistent	Real-Time

Key Strategic Insights

PepsiCo saw low SOS on GoPuff snacks during weekends—Actowiz recommended category boosts
Dove lost visibility in UAE during Ramadan offers—dashboard flagged promo banner rotation drop
Nestlé had higher SOS in Germany but weaker keyword performance in India (ranked 5th+ on Blinkit)
Amul dominated visibility in Indian metros but missed promotion coverage in Bangalore
Alpro had great search visibility in Singapore but was missing homepage presence

Client Testimonial

“Actowiz helped us turn our blind spots into growth plans. Their brand visibility reports across Blinkit, GoPuff, and Talabat gave us clarity, action, and ROI.”

– Global Q-Commerce Manager, Leading FMCG Brand

Next Steps

Integrate sentiment insights from reviews + ratings
Predict visibility ROI by slot type (top 3 vs. homepage vs. footer)
Add competition share alerts for brands losing ground week-on-week
Build ad spend correlation reports with platform display metrics

Conclusion

In Q-Commerce, if your brand isn’t seen—it isn’t sold. Visibility isn’t just about listings; it’s about real-time positioning, placement, and promotion.

Actowiz Solutions provides multi-country, AI-powered visibility reports that empower marketing and sales teams with data to act on—instantly and precisely.

From London to Mumbai, from banners to buy buttons—visibility starts with Actowiz.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

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1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

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2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

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1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner