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

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        )

    [location:protected] => GeoIp2\Record\Location Object
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                    [1] => accuracyRadius
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                    [3] => longitude
                    [4] => metroCode
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                    [8] => timeZone
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
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                )

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    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
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                    [0] => code
                    [1] => confidence
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
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    [subdivisions:protected] => Array
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                            [3] => names
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                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
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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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                    [2] => names
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6255149
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                            [de] => Nordamerika
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                            [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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                            [zh-CN] => 美国
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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                    [0] => confidence
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                    [2] => isInEuropeanUnion
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [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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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [1] => autonomousSystemOrganization
                    [2] => connectionType
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                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
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                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [ru] => Колумбус
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                            [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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                            [fr] => États Unis
                            [ja] => アメリカ
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                            [zh-CN] => 美国
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            [location] => Array
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            [postal] => Array
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            [registered_country] => Array
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                            [de] => USA
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                            [es] => Estados Unidos
                            [fr] => États Unis
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            [subdivisions] => Array
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                    [0] => Array
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                            [geoname_id] => 5165418
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                                    [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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                    [ip_address] => 216.73.216.110
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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
)

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Case Study - Increasing Direct Bookings Through Competitor Rate Analysis

Learn how competitor rate analysis helped increase direct bookings, optimize pricing, and maximize revenue. Discover data-driven strategies for success!

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Case-Study-Reducing Costs Through Drug Price Analysis for a Healthcare Provider

Introduction

In today’s competitive hospitality landscape, hotels strive to maximize their revenue by increasing Hotel Direct Bookings while reducing dependency on third-party platforms. One of the most effective ways to achieve this is through Competitor Rate Analysis and Hotel Competitive Pricing Analysis. By leveraging Hotel Rate Comparison Tools, hotels can monitor pricing trends, adjust their rates dynamically, and create an effective Direct Booking Strategy.

Actowiz Solutions helped a leading hotel chain optimize its Hotel Pricing Strategy using Pricing Intelligence for Hotels to boost Travel Industry Revenue Growth. This case study highlights how our advanced Competitor Price Monitoring solutions enabled the client to enhance Hotel Revenue Management, increase direct reservations, and improve profitability.

Client Background

The client, a well-known mid-scale hotel chain, faced challenges in increasing Hotel Direct Bookings while competing against OTAs (Online Travel Agencies). They struggled with price undercutting by competitors, fluctuating demand, and an ineffective Direct Booking Optimization strategy.

Challenges Faced by the Client

Challenges Faced by the Client

1. Lack of Pricing Intelligence – The client lacked real-time insights into competitors’ pricing trends, making it difficult to implement Dynamic Pricing for Hotels.

2. Heavy Reliance on OTAs – A significant portion of their bookings came from third-party sites, reducing profit margins.

3. Manual Pricing Adjustments – Without an automated Competitor Price Monitoring system, rate updates were slow and reactive.

4. Limited Use of Hospitality Industry Analytics – The client struggled to track key Hotel Pricing Trends 2024 and implement data-driven decisions.

5. Missed Revenue Opportunities – Due to inconsistent pricing strategies, they lost potential guests to competitors offering better deals.

Actowiz Solutions’ Approach

Actowiz Solutions’ Approach-0

To help the client overcome these challenges, Actowiz Solutions implemented a comprehensive Hotel Competitive Pricing Analysis and Direct Booking Strategy, integrating advanced data extraction tools and Hotel Rate Comparison Tools. Our approach included:

1. Competitor Price Monitoring and Analysis
  • We deployed web scraping solutions to collect real-time pricing data from competitor hotels across different OTAs and brand websites.
  • The client gained access to a Hotel Pricing Strategy dashboard displaying pricing trends, promotional offers, and competitor discounts.
  • Insights from Hotel Competitive Pricing Analysis helped in setting optimal price points to Increase Hotel Direct Reservations.
2. Dynamic Pricing for Hotels
  • Actowiz Solutions implemented an AI-driven Dynamic Pricing for Hotels mechanism that adjusted rates based on demand fluctuations, competitor pricing, and seasonality.
  • This strategy ensured that the client remained competitive while maximizing revenue opportunities.
3. Direct Booking Optimization
  • We helped the client enhance their website’s booking experience, offering exclusive deals and better incentives for guests who booked directly.
  • By using Pricing Intelligence for Hotels, we provided real- time rate comparisons between OTAs and the hotel’s direct booking platform, showcasing the best value for direct guests.
4. Hotel Pricing Trends 2024 Analysis
  • Our analytics team tracked evolving Hotel Pricing Trends 2024 and integrated them into the client’s Hotel Revenue Management strategy.
  • Data-driven insights helped forecast demand, optimize marketing efforts, and personalize pricing for different customer segments.
5. Hospitality Industry Analytics for Better Decision-Making
  • We provided comprehensive Hospitality Industry Analytics, including occupancy rates, competitor benchmarking, and guest booking patterns.
  • This empowered the client to make strategic decisions to enhance Travel Industry Revenue Growth.

Results Achieved

Results Achieved

Within six months of implementing our Direct Booking Strategy, the client experienced:

  • 30% increase in Hotel Direct Bookings by offering competitive rates and personalized promotions.
  • Reduction in OTA dependency by 25%, leading to higher profit margins.
  • 20% improvement in revenue through optimized Hotel Pricing Strategy and real-time Competitor Rate Analysis.  Enhanced guest satisfaction, as they received the best rates and exclusive perks when booking directly.
  • Faster pricing updates, thanks to AI-driven Hotel Rate Comparison Tools that automated pricing adjustments.

Client Testimonial

“Actowiz Solutions transformed our direct booking strategy! Their competitor price monitoring and dynamic pricing solutions gave us a clear advantage in a highly competitive market. Within months, we saw a significant increase in direct bookings and revenue. We highly recommend Actowiz Solutions to any hotel looking to optimize pricing and reduce OTA dependency.”

— Revenue Manager, Leading Mid-Scale Hotel Chain

Conclusion

This case study highlights how Actowiz Solutions empowered a leading hotel chain to enhance Hotel Revenue Management, boost Hotel Direct Bookings, and optimize pricing through Competitor Price Monitoring and Dynamic Pricing for Hotels. By leveraging Hotel Competitive Pricing Analysis, Hospitality Industry Analytics, and Hotel Pricing Trends 2024, the client successfully increased direct reservations and revenue while staying ahead of competitors.

Ready to increase your Hotel Direct Bookings?

Contact Actowiz Solutions today and unlock the power of Pricing Intelligence for Hotels to drive Travel Industry Revenue Growth!

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
Explore Solutions Get a Custom Demo

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.

Ecommerce
Q-Commerce
Travel & OTA
Food Delivery
Real Estate
Social Media
Trusted by Global Leaders – Secured by International Standards

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.
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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 & palniring

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 inights Top-slling SKUs

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Our Data Drives Impact - Real Client Stories

Blinkit | India (Relail Partner)

"Actow's helped us reduce out of ststack 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

"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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