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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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Actowiz Metrics Now Live!
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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
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                            [en] => Columbus
                            [es] => Columbus
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

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            [traits] => Array
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                )

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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [0] => confidence
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
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        )

    [locales:protected] => Array
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            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.129
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
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                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
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                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [19] => staticIpScore
                    [20] => userCount
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                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

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                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
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)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Introduction

In the competitive Indian e-commerce market, understanding product visibility and pricing trends across platforms is crucial. Actowiz Solutions conducted a comprehensive Flipkart vs Amazon Benchmarking study, analyzing 12,000+ products across categories such as electronics, apparel, home & kitchen, and beauty. Leveraging Digital Shelf Analytics Services, our study mapped digital shelf performance, pricing, and promotional positioning for each platform.

Using Web Scraping for Digital Shelf, we collected structured and unstructured data including product titles, SKUs, pricing, promotional tags, ratings, and inventory levels. This allowed for precise insights into how products are displayed and ranked across Flipkart and Amazon. Digital Shelf Presence India was measured across 6 dimensions: product visibility, keyword relevance, price positioning, promotion frequency, inventory accuracy, and review sentiment.

Table 1: Overview of Digital Shelf Presence Metrics
Metric Flipkart Amazon Notes
Total SKUs Analyzed 12,000 12,000 Across top 5 categories
Avg. Product Visibility Score 78% 82% Visibility based on search ranking
Avg. Promotion Frequency 15% 18% Percentage of products on promotion
Inventory Accuracy 95% 97% Based on stock updates
Avg. Review Rating 4.2 4.3 Out of 5

The study revealed that Amazon vs Flipkart Product Visibility differed significantly across categories, with electronics and fashion showing the largest visibility gaps. By tracking these trends, retailers can optimize inventory, pricing, and marketing strategies for both platforms.

The research also highlights how Digital Shelf Scraping Tools enable large-scale data collection for actionable insights. Retailers using automated scraping can quickly detect misaligned listings, identify underperforming SKUs, and measure promotion effectiveness in real time.

Finally, our Flipkart vs Amazon Benchmarking study demonstrates the importance of accurate Retail Analytics via Web Scraping for informed business decisions, ensuring retailers stay competitive in a rapidly evolving marketplace.

Share of Search Services

Share of Search is a key indicator of how products rank in consumer queries across Flipkart and Amazon India. Actowiz Solutions measured the digital shelf presence on Flipkart and Amazon India by tracking search ranking positions for 12,000+ SKUs over a 6-month period. Using Share of Search Services, we calculated the proportion of top-10 search rankings occupied by each product in its category.

Table 2: Share of Search Metrics by Category
Category Flipkart Share of Search Amazon Share of Search Notes
Electronics 42% 55% Amazon dominates due to brand promotions
Apparel 50% 48% Flipkart leads slightly in fashion categories
Home & Kitchen 45% 50% Balanced performance
Beauty 38% 52% Amazon stronger in branded cosmetics
Toys & Games 48% 50% Seasonal impact observed

Analysis: Amazon outperformed Flipkart overall in share of search, particularly in electronics and beauty products, due to better algorithmic ranking and sponsored listings. Flipkart excelled in apparel, indicating stronger category-specific visibility strategies.

Using Flipkart vs Amazon Shelf Analysis, retailers can identify gaps in search visibility and plan marketing campaigns targeting underrepresented categories. Leveraging Share of Search Software, we also tracked competitor SKUs to optimize product positioning, improving discoverability and conversion rates.

Share of Search Software

Share of Search Software tools were deployed to automate tracking of ranking positions for over 12,000 SKUs across Flipkart and Amazon. This enabled dynamic monitoring of keyword visibility, promotional impact, and competitor positioning.

Table 3: Average Search Ranking Positions by Category
Category Flipkart Avg Rank Amazon Avg Rank Notes
Electronics 7 4 Amazon’s sponsored listings dominate
Apparel 5 6 Flipkart favored seasonal promotions
Home & Kitchen 6 5 Balanced ranking
Beauty 8 3 Amazon top performers lead rankings
Toys & Games 6 5 Seasonal bundles influence ranks

Analysis: Amazon consistently secured higher rankings for electronics and beauty, which translated to increased click-through rates. Flipkart’s strength in apparel highlights category-specific optimization opportunities. Using Flipkart Product Visibility Data, retailers can adjust inventory, pricing, and promotion strategies to improve search performance.

Content Audits & Inventory Tools

Accurate content and inventory management are essential for optimal digital shelf performance. Actowiz employed Content Audits & Inventory Tools to evaluate product titles, descriptions, images, and stock accuracy for both platforms.

Table 4: Content & Inventory Accuracy
Metric Flipkart Amazon Notes
Title Accuracy 92% 95% AI-assisted matching
Description Accuracy 89% 94% Product variants corrected
Image Quality 90% 96% High-resolution images preferred
Stock Accuracy 95% 97% Real-time inventory updates

Analysis: Amazon consistently outperformed Flipkart in content accuracy and image quality. Using Digital Shelf Dataset Amazon vs Flipkart, retailers can identify content gaps to improve discoverability and enhance customer experience.

Customer Ratings & Reviews Analytics

Table 5: Average Ratings by Category

Customer feedback impacts purchase decisions. Using Customer Ratings & Reviews Analytics, Actowiz tracked over 350,000 reviews for 12,000+ SKUs across both platforms.

Category Flipkart Avg Rating Amazon Avg Rating Notes
Electronics 4.2 4.4 Amazon reviews more frequent
Apparel 4.3 4.2 Flipkart strong in fashion
Home & Kitchen 4.1 4.3 Balanced
Beauty 4.0 4.5 Amazon leads
Toys & Games 4.2 4.3 Seasonal effects observed

Analysis: Reviews and ratings align with visibility and ranking trends. Higher ratings on Amazon drive click-through rates, while Flipkart’s performance in apparel shows the impact of curated customer engagement strategies.

Pricing & Promotion Analysis

Pricing and promotions directly influence conversion. Using Pricing & Promotion Analysis, Actowiz tracked discounts, bundle offers, and promotional frequency across platforms.

Table 6: Average Discount & Promotion Frequency
Category Flipkart Avg Discount Amazon Avg Discount Promotion Frequency
Electronics 12% 15% Amazon 18%, Flipkart 14%
Apparel 18% 16% Flipkart 20%, Amazon 17%
Home & Kitchen 10% 12% Balanced
Beauty 8% 14% Amazon higher
Toys & Games 15% 13% Seasonal spikes observed

Analysis: Amazon leads in electronics and beauty promotions, while Flipkart is stronger in apparel. Retailers can leverage these insights to optimize pricing, improve share of search, and enhance overall digital shelf presence on Flipkart and Amazon India.

Conclusion

This Flipkart vs Amazon Benchmarking study demonstrates the power of Web Scraping for Digital Shelf in measuring visibility, pricing, promotions, and customer feedback. Using 12,000+ SKUs across multiple categories, Actowiz Solutions quantified key differences in product visibility, search ranking, content accuracy, and promotions.

The analysis highlights actionable insights: Amazon excels in electronics and beauty, Flipkart in apparel, and both platforms benefit from ongoing monitoring using Digital Shelf Scraping Tools. Retailers leveraging Retail Shelf Benchmarking with Scraping can optimize inventory, pricing, and marketing strategies while enhancing customer experience.

Unlock actionable insights with Actowiz Solutions’ Flipkart vs Amazon Benchmarking and optimize your digital shelf strategy today.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
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 highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

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