Ticket Price Data Collection for Revenue Forecasting
£750-1500 GBP
Avoin
Julkaistu noin 19 tuntia sitten
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Päättyy 6 päivän päästä
£750-1500 GBP
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Scope of Work: Ticket Price Data Collection for Revenue Forecasting
Objective:
To collect and prepare ticket price data for 45 West End theatres, grouped by ownership, including dynamic pricing trends (e.g., day-of-week, seasonal, and time-based), to provide the necessary inputs for internal revenue forecasting.
Key Responsibilities
1. Ticket Price Data Collection
Research ticket price ranges for each of the 45 theatres (list provided below) using publicly available ticketing platforms (e.g., ATG Tickets, London Theatre Direct, Ticketmaster).
Document ticket prices for different seating categories:
Premium (e.g., stalls, front rows).
Mid-tier (e.g., circle, middle rows).
Budget (e.g., back rows, restricted view).
Provide the highest, lowest, and most common price points for each theatre.
2. Seating Category Proportions
Estimate the proportion of seats in each price category (if seating plans are available).
Indicate where assumptions are made due to unavailable data.
3. Dynamic Pricing Analysis
Day-of-Week Variations:
Capture pricing differences for:
Weekday matinees.
Weekday evenings.
Weekend matinees.
Weekend evenings.
Seasonal Variations:
Identify pricing patterns during high-demand periods (e.g., holidays, school breaks) vs off-peak periods.
Time-Based Pricing Trends:
Analyse pricing changes based on booking windows:
Advance bookings (3+ months before the performance).
Standard window (4–6 weeks before).
Last-minute bookings (1–2 days before).
Highlight percentage changes in ticket prices across these timeframes.
Determine variations by seating category (e.g., premium prices rise, budget seats are discounted).
4. Ownership Group Categorisation
Group theatres by their ownership to provide aggregated insights (e.g., ATG, Delfont Mackintosh, LW Theatres, etc.).
Highlight any notable trends across ownership groups.
5. Evidence and Documentation
Screenshots:
Provide screenshots from theatre websites showing ticket prices and seating plans for verification.
Include screenshots for different price ranges, days, and timeframes (advance, standard, last-minute).
Show Name:
Clearly state the name of the show from which ticket price data was collected.
Note whether the show is a long-running production or a special/limited run (if evident).
Deliverables
Excel Spreadsheet
Detailed table for each theatre showing:
Ticket price ranges by seating category (premium, mid-tier, budget).
Seating category proportions (estimated).
Dynamic pricing variations (day-of-week, seasonal, and time-based trends).
Show name for each dataset.
Summary sheet for ownership groups with:
Aggregated ticket price ranges.
Pricing trends by group and time of purchase.
Evidence Folder
Include screenshots showing:
Ticket prices for each theatre.
Dynamic pricing variations (where applicable).
Seating plans (if available).
Name each file clearly (e.g., "[login to view URL]").
Documentation
List of sources used for research.
Notes on any assumptions made or challenges encountered.
Raw data collected from platforms.
Theatre List and Ownership
ATG
Ambassadors Theatre
Apollo Victoria Theatre
Duke of York's Theatre
Fortune Theatre
Harold Pinter Theatre
Kit Kat Club at the Playhouse Theatre
Lyceum Theatre
Phoenix Theatre
Piccadilly Theatre
Savoy Theatre
The National Theatre
The National (Oliver 1150, Lyttelton 890 & Dorfman 450)
ATG/Trafalgar Entertainment
Trafalgar Theatre
Delfont Mackintosh
Gielgud Theatre
Noël Coward Theatre
Novello Theatre
Prince Edward Theatre
Prince of Wales Theatre
Sondheim Theatre
Victoria Palace Theatre
Wyndham's Theatre
LW Theatres
Cambridge Theatre
Gillian Lynne Theatre
His Majesty's Theatre
London Palladium
Theatre Royal, Drury Lane
Nederlander
Adelphi Theatre (LW Theatres/Nederlander)
Aldwych Theatre
Dominion Theatre
Independents
Young Vic (Kwame Kwei-Armah, AD)
Bridge Theatre (London Theatre Company, Nicholas Hytner, AD)
Old Vic Theatre (Matthew Warchus, AD)
Stephen Walley-Cohen
St Martin's Theatre
Nimax
Apollo Theatre
Duchess Theatre
Garrick Theatre
Lyric Theatre
Palace Theatre
Vaudeville Theatre
Access Industries
Theatre Royal Haymarket
BKL
Other Palace Theatre
Criterion Theatre Trust
Criterion Theatre (Mark Rubenstein)
DLT Entertainment
Shaftesbury Theatre (James Williams)
Elaine Bedell
Southbank Centre
ENO
Coliseum Theatre
Lizzie Scott
Arts Theatre
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Hi, Greetings!
✅checked your project details:
✅Completed Time: In project deadline
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Hello,
I understand that you're looking for a comprehensive ticket price data collection project for the 45 West End theatres. My approach would involve detailed research across various ticketing platforms to gather pricing information for different seating categories. I will document high, low, and average prices for each theatre while also analyzing dynamic pricing trends based on the day of the week, seasonal variations, and time-based changes. Using Excel, I will compile this data into a structured format, ensuring to include assumptions made, seating proportions, and providing screenshots for verification.
What specific ticketing platforms or resources do you prefer for the price data collection?
Thanks,
Muhammad Awais
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❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you need efficient ticket price data collection for revenue forecasting for 45 West End theatres. Look no further; Zohaib is here to assist you! With 5+ years of experience in data collection and analysis, my team has successfully handled similar projects before.
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Waiting for your response!
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Waiting for your Response!
Hello,
I am confident in my ability to assist with your ticket price data collection and analysis project for 45 West End theatres. My approach will begin with gathering data from ticketing platforms like ATG Tickets and Ticketmaster, focusing on premium, mid-tier, and budget ticket prices. I will document the highest, lowest, and most common prices for each theatre.
Next, I will estimate seating category proportions and analyze dynamic pricing trends, including day-of-week, seasonal, and time-based variations. This will provide a detailed understanding of pricing fluctuations.
The data will be organized into an Excel spreadsheet with tables for each theatre and a summary sheet for ownership groups. I will also include relevant screenshots and documentation for verification. For analysis, I will apply descriptive statistics, regression analysis, and data visualization techniques, including pivot tables and charts, to highlight key trends.
'Hire Me' to receive a comprehensive, actionable report for your revenue forecasting needs.
Best Regards,
Aneesa
Hello,
I have extensive experience in data collection and analysis, making me the ideal candidate to handle this detailed ticket price data collection project. I specialize in conducting thorough research, organizing complex data sets, and providing actionable insights tailored to revenue forecasting.
With a keen eye for accuracy and a commitment to delivering well-structured reports, I’ll ensure all deliverables, including dynamic pricing trends, ownership group categorization, and comprehensive documentation, are completed efficiently and to the highest standard. I’d be excited to help you meet your objectives with precision and clarity!
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Best regards,
Muhammad Asim Khan
Hello,
I am excited to assist you with the Ticket Price Data Collection for Revenue Forecasting project! I understand the importance of gathering accurate ticket price data from the 45 specified West End theatres, including key details like seating categories and dynamic pricing trends.
With my extensive experience in internet research and data analysis, I can efficiently collect and document ticket prices across various platforms while ensuring precise categorization for premium, mid-tier, and budget options. My familiarity with similar projects means that I can deliver comprehensive findings, including dynamic pricing variations and ownership insights, swiftly and effectively.
I look forward to working together to provide valuable data that will contribute to your internal revenue forecasting efforts, ensuring all deliverables are meticulously organized and well-documented.
What is your preferred format for the final deliverables, specifically regarding the organization of the Excel spreadsheet and evidence folder?
Thanks,
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Hi,
I am offering my expertise to collect and analyze ticket price data for 45 West End theatres, grouped by ownership, to support your revenue forecasting needs. This includes gathering ticket prices across seating categories (Premium, Mid-tier, Budget), estimating seating proportions, and analyzing dynamic pricing trends such as day-of-week, seasonal, and time-based variations. I will also provide insights into ownership group pricing trends, ensuring the data is comprehensive and actionable.
Deliverables will include an Excel spreadsheet with detailed pricing analysis, dynamic pricing trends, and ownership group summaries, along with an evidence folder containing screenshots for verification. With my experience in data extraction and analytics, I guarantee accurate, structured, and timely results. I look forward to collaborating on this project.
Thanks and regards
Mufaqir
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I think we are the perfect fit for your project. Understanding the need for meticulous ticket price data collection for revenue forecasting, our team specializes in data collection and analysis, ensuring clean and seamless results. With expertise in dynamic pricing trends and detailed documentation, we can provide accurate insights into pricing variations across different seating categories and ownership groups. Our 60+ 5-star reviews on similar projects and top 3% ranking among 75 million users showcase our commitment to excellence.
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Regards,
Chris
As an experienced Full Stack Developer, I've honed my skills in data management and manipulation, which includes being highly proficient in Excel. I have a deep understanding of not only how to extract valuable data from multiple sources but also how to organize, analyze, and present it in a comprehensive and understandable manner. I'm confident that these very skills make me the perfect match for this project.
In addition to my analytical expertise, I'm highly adaptable with the ability to learn new systems and platforms quickly. With this proficiency, I'll be able to promptly navigate ticketing platforms like ATG Tickets, London Theatre Direct, and Ticketmaster to collect the required pricing information for all 45 West End theaters.
Moreover, due to the nature of my work as a Full Stack Developer, attention to detail is ingrained in every task I perform. Thus, you can expect nothing less than meticulously researched data on ticket price ranges, seating category proportions,and pricing variations across different timeframes and seasons. Beyond just ticking off these requirements on paper, I understand that relevant information is subject to change; consequently, ven after completing the project,I'll keep monitoring these sources even after completing the project afin order to ensure accuracy and assure you of a revision process whenever necessary. In summary,Eli is reliable competent efficient professional fit for this role EIF.
As an experienced writer with meticulous attention to detail and a decade of proficiency in using Excel, I am perfectly suited to execute the ticket pricing data collection project. A task of this nature lies well within my strengths: conducting comprehensive research, organizing complex data, and accurately summarizing key findings in a clear and concise manner.
With my ability to identify pricing trends through vast sets of information, I can confidently inspect the public ticketing platforms such as ATG Tickets, London Theatre Direct, and Ticketmaster to prepare an insightful dataset capturing diverse variables like seating categories, ownership groups, day-of-week variations, seasonal patterns, and other factors required for your internal revenue forecasting.
Moreover, I value communication and understand the importance of regular updates throughout the project. You will receive timely updates on my progress accompanied by elucidative evidence such as screenshots from theatre websites depicting ticket prices, dynamic pricing variations (where applicable), and seating plans if available. In effect, you’ll be receiving regular transparent feedback about each step of the way for optimal collaboration and project guardianship.
Hello Hope you are doing well!
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I am pretty much experienced with Data Collection, Excel, Analytics, Internet Research and Data Extraction for over 8 years, I can update you shortly.
Cheers
Efan
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Hello,
I understand that you need ticket price data collected for 45 West End theatres to help with revenue forecasting. My approach will be thorough: I'll research ticket prices from various platforms, looking at different seating categories and their proportions. I will capture dynamic pricing trends—like how prices change based on the day of the week and time of booking—and ensure to document all findings with evidence and sources. This will culminate in a detailed Excel spreadsheet showcasing all relevant data, trends, and accompanying screenshots for verification.
Could you clarify how you would like the data formatted in the Excel spreadsheet, particularly for the dynamic pricing analysis?
Thanks,
Shamshad
