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GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => 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 ) ) [continent] => Array ( [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 ) ) [country] => 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 ) ) [location] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [postal] => Array ( [code] => 43215 ) [registered_country] => 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 ) ) [subdivisions] => Array ( [0] => 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 ) ) ) [traits] => Array ( [ip_address] => 216.73.216.115 [prefix_len] => 22 ) ) [continent:protected] => GeoIp2\Record\Continent Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [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 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => code [1] => geonameId [2] => names ) ) [country:protected] => GeoIp2\Record\Country Object ( [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 ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [locales:protected] => Array ( [0] => en ) [maxmind:protected] => GeoIp2\Record\MaxMind Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [validAttributes:protected] => Array ( [0] => queriesRemaining ) ) [registeredCountry:protected] => GeoIp2\Record\Country Object ( [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 ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names [5] => type ) ) [traits:protected] => GeoIp2\Record\Traits Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [ip_address] => 216.73.216.115 [prefix_len] => 22 [network] => 216.73.216.0/22 ) [validAttributes:protected] => Array ( [0] => autonomousSystemNumber [1] => autonomousSystemOrganization [2] => connectionType [3] => domain [4] => ipAddress [5] => isAnonymous [6] => isAnonymousProxy [7] => isAnonymousVpn [8] => isHostingProvider [9] => isLegitimateProxy [10] => isp [11] => isPublicProxy [12] => isResidentialProxy [13] => isSatelliteProvider [14] => isTorExitNode [15] => mobileCountryCode [16] => mobileNetworkCode [17] => network [18] => organization [19] => staticIpScore [20] => userCount [21] => userType ) ) [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 ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [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 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isoCode [3] => names ) ) ) )
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 )
In today's ever-evolving retail landscape, the key to success frequently revolves around one central factor: pricing. A recent survey conducted by Statista has revealed that 70% of online users in the United States prioritize competitive pricing when making digital shopping decisions. In this highly competitive arena, where outperforming rivals is crucial, a profound understanding of pricing intricacies has transitioned from being an advantage to an absolute necessity.
Retailers are progressively accepting pricing intelligence solutions which thoroughly analyze competitor pricing data using competitor price monitoring, performing detailed comparisons all the way down to SKU levels. This comprehensive analysis equips their price teams with invaluable insights needed to competitively price their products on a daily basis.
However, in a landscape where a staggering 50 million price adjustments occur daily, reliance on a reactive pricing intelligence solution, while effective in numerous ways, often needs to be revised. To construct a strategic and predictive pricing mechanism, retailers also require the capability to track historical pricing about market conditions, competitor actions, seasonal fluctuations, the timeliness of competitor pricing adjustments, and more. This feature would be particularly beneficial for senior retail pricing executives and business unit leaders as they seek to gain a strategic overview of their competitive pricing landscape. Regrettably, even the most prominent retail pricing intelligence solutions providers currently lack this capability, resulting in a somewhat limited perspective on competitive pricing, even within large retail organizations.
PricingVibe from Actowiz Solutions is a tool designed to extract retail price data and empower retail leaders with a comprehensive understanding of their competitive pricing strategies and the evolving market dynamics. This feature serves as a bridge between the daily activities of competitive pricing and the in-depth analysis and strategic decisions made for the long term. It grants senior retail pricing leaders the ability to unravel the complexities of their pricing strategies. Presented through a dashboard interface, it offers an elevated view of pricing dynamics within the industry, arming retailers with the insight needed to navigate market fluctuations, anticipate vulnerabilities, and capitalize on emerging opportunities.
PricingVibe is an add-on to Actowiz Solutions' Pricing Intelligence solution and pricing strategy services, available to all Actowiz Solutions retail customers.
The insights provided by PricingVibe empower retailers to address critical questions about competitor pricing behaviors, their position in pricing leadership within various product categories, the timing of price adjustments, and the efficacy of capitalizing on opportunities for price improvement. Some of the questions that PricingVibe can help answer include:
In the upcoming section, we present a selection of perspectives accessible to retail leaders through our PricingVibe dashboard. Please request a demo today for a comprehensive list of insights featured on the dashboard.
This perspective furnishes retailers with a plan of the leading players in pricing across different product categories and how this evolves. Frequently, retailers aspire to establish themselves as price leaders in specific categories while also ensuring healthy profit margins in others.
Retailers can utilize this view to assess their track record and effectiveness in sustaining competitive advantage within crucial categories over time. It allows them to reinforce their strong points and pinpoint opportunities for refining their pricing strategies.
Furthermore, the dashboard monitors a retailer's price index across various categories, a metric that gauges their price competitiveness.
The price index is calculated by dividing the retailer's price by competitors' lowest price. A ratio below 1 signifies that the retailer has the lowest price in the market. This metric is also showcased for competitors, offering insights into which competitors have the most appealing prices in the market. A timeline depiction of this metric allows for monitoring of how retailers' price leadership evolves.
This perspective offers an overview of the frequency of price adjustments made by a retailer and its competitors over a specific time frame. This includes information on the average extent of price modifications and the percentage of the retailer's product assortment that experienced these changes.
Change the curves given in the graph just a little
Furthermore, the monthly count of price adjustments is presented for each retailer, with a further breakdown of the total number of price changes occurring on each day of the week.
These insights assist retailers in discerning which competitors engage the most and the least in their pricing activities, the degree of aggressiveness in their pricing actions, and whether there are any discernible patterns in terms of price changes on specific days of the week or month.
The dashboard provides real-time updates on opportunities for price improvement, encompassing both the potential for price increases and decreases for a retailer and its competitors across various categories as they evolve. A price increase opportunity arises when a product is notably underpriced (by more than 2%), while a price decrease opportunity presents itself when it is considerably overpriced (by more than 2%).
Furthermore, the retailer gains insights into the number of price improvement opportunities that were acted upon within 15 days of their emergence. This "action rate" enables retailers to measure how effectively they capitalize on price improvement opportunities, resulting in increased sales and improved profit margins. Additionally, the dashboard provides data on the average number of days it took for a retailer to act upon a price improvement opportunity, offering a quantifiable measure of pricing teams' responsiveness and agility.
This information holds significant value for pricing leaders when assessing the effectiveness of their pricing teams. When comparable insights are analyzed for a cluster of competitors, retailers can acquire a more comprehensive grasp of the sophistication level inherent in their competitors' pricing strategies and operations.
The introduction of Actowiz Solutions' PricingVibe represents a significant advancement in retail pricing data scraping tailored for retail leaders. As the retail landscape undergoes continuous transformation, the importance of precise pricing strategies cannot be emphasized enough. PricingVibe is the industry's first and only pricing view that seamlessly connects tactical pricing decisions with comprehensive strategic analysis.
In a world where adaptability and foresight are imperative, PricingVibe’s ecommerce price monitoring services empower retail leaders to anticipate competitor actions, optimize pricing strategies, and maintain a competitive edge.
If you are a senior pricing leader or oversee a retail business unit, don't hesitate to reach out to us today for the opportunity to scrape pricing data or to obtain further information!
You can also reach us if you have any requirement related to data collection, mobile app scraping, instant data scraper and web scraping service.
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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
Real Estate
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×
Organic Grocery / FMCG
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
Quick Commerce
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
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
Beverage / D2C
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
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
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
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
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
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