This presentation explores the impact of sort and filter functions on consumers’ online hotel booking behavior. Specifically, it explores its mediating impact on the relationship between a hotel’s placement on the initial search results booking page and the likelihood of being booked. It does so by means of a storytelling approach, making the complex academic paper more accessible to the general public. The work received a best research paper award at the REMAPS conference for Revenue Management, Paris, 17 and 18 December 2015.
The findings indicate show that by the use of sort and filter functions, a more equal distribution of choices can be achieved, but that visitors will also pay more attention to the aspects that are subject to sorting and filtering instead of the first entries on the search result page. If the sort and filter functions are applied to price, visitors are more likely to choose cheaper rooms, whereas applied to customer ratings, visitors are more likely to choose rooms with better ratings. So the functions impact the search agenda. As a consequence, the economic value of placement in top positions goes down, but this may be compensated by improving the value of all placements. In addition, sorting and filtering increases the competitiveness of the search engine because it encourages visitors to apply other choice criteria than placement on the page.
9 mô hình tổ chức và quản lý doanh nghiệp phổ biến hiện nay.
===
Bước đầu tiên trong việc tổ chức bộ máy quản trị doanh nghiệp là việc xác định cơ cấu tổ chức phù hợp. Vì sao lại như vậy?
Một tổ chức được cấu trúc hiệu quả sẽ giúp doanh nghiệp quản trị công việc một cách hệ thống, trật tự, linh hoạt, tạo điều kiện thuận lợi cho việc thực hiện chiến lược tương lai. Trong khi đó, cơ cấu tổ chức không hợp lý sẽ cản trở hoặc hút cạn tiềm lực của chính doanh nghiệp đó.
Đặc biệt, trong bối cảnh kinh tế thay đổi chóng mặt như hiện nay, môi trường làm việc truyền thống nhường chỗ cho xu thế "Work From Home" thì cơ cấu tổ chức phải đáp ứng sự linh hoạt và biến đổi của thị trường rất quan trọng.
Để giúp anh/chị có cái nhìn trực quan và có thêm kiến thức xây dựng cơ cấu tổ chức hiệu quả, SlimCRM.vn xin gửi tới a/c tài liệu "9 mô hình tổ chức và quản trị doanh nghiệp thịnh hành nhất hiện nay".
Nội dung:
+ Các loại mô hình tổ chức doanh nghiệp, ưu và nhược điểm của từng mô hình.
+ Mô hình nào phù hợp để Work from home?
+ Ví dụ trực quan về cách tổ chức doanh nghiệp của các tập đoàn hàng đầu thế giới (Twitter, Spotify, Buffer..)
Link tải full tài liệu: https://go.slimcrm.vn/9-mo-hinh-to-chuc-dn
--
Nguồn: SlimCRM.vn
Phân tích chiến lược kinh doanh Highland CoffeeYenPhuong16
Phân tích chiến lược kinh doanh Highland Coffee, Tổng quan về cafe Highlands Coffee, Sơ lược về quán cafe Highlands Coffee, Các sản phẩm cà phê Highlands Coffee, báo cáo thực tập ngành marketing, chiến lược kinh doanh chính của Highlands Coffee
9 mô hình tổ chức và quản lý doanh nghiệp phổ biến hiện nay.
===
Bước đầu tiên trong việc tổ chức bộ máy quản trị doanh nghiệp là việc xác định cơ cấu tổ chức phù hợp. Vì sao lại như vậy?
Một tổ chức được cấu trúc hiệu quả sẽ giúp doanh nghiệp quản trị công việc một cách hệ thống, trật tự, linh hoạt, tạo điều kiện thuận lợi cho việc thực hiện chiến lược tương lai. Trong khi đó, cơ cấu tổ chức không hợp lý sẽ cản trở hoặc hút cạn tiềm lực của chính doanh nghiệp đó.
Đặc biệt, trong bối cảnh kinh tế thay đổi chóng mặt như hiện nay, môi trường làm việc truyền thống nhường chỗ cho xu thế "Work From Home" thì cơ cấu tổ chức phải đáp ứng sự linh hoạt và biến đổi của thị trường rất quan trọng.
Để giúp anh/chị có cái nhìn trực quan và có thêm kiến thức xây dựng cơ cấu tổ chức hiệu quả, SlimCRM.vn xin gửi tới a/c tài liệu "9 mô hình tổ chức và quản trị doanh nghiệp thịnh hành nhất hiện nay".
Nội dung:
+ Các loại mô hình tổ chức doanh nghiệp, ưu và nhược điểm của từng mô hình.
+ Mô hình nào phù hợp để Work from home?
+ Ví dụ trực quan về cách tổ chức doanh nghiệp của các tập đoàn hàng đầu thế giới (Twitter, Spotify, Buffer..)
Link tải full tài liệu: https://go.slimcrm.vn/9-mo-hinh-to-chuc-dn
--
Nguồn: SlimCRM.vn
Phân tích chiến lược kinh doanh Highland CoffeeYenPhuong16
Phân tích chiến lược kinh doanh Highland Coffee, Tổng quan về cafe Highlands Coffee, Sơ lược về quán cafe Highlands Coffee, Các sản phẩm cà phê Highlands Coffee, báo cáo thực tập ngành marketing, chiến lược kinh doanh chính của Highlands Coffee
BÁO CÁO THỰC HÀNH DỰ ÁN NGHIÊN CƯU MARKETINGVisla Team
BÁO CÁO THỰC HÀNH DỰ ÁN NGHIÊN CƯU MARKETING với nội dung "Nghiên cứu Mô tả nhu cầu của người tiêu dùng với thương hiệu thời trang Blue Exchange, để Doanh nghiệp có giải pháp kinh doanh tốt". Bài làm do sinh viên Mar37 UEH thực hiện với hi vọng góp ích cho việc học của sinh viên.
We see many Vietnamese wearing glasses. We research with hundreds of Vietnamese to see the market of eye vision, including why they are reluctant to use contact lens
Chiến lược kênh phân phối của công ty cổ phần thực phẩm Hữu Nghịluanvantrust
LINK DOWNLOAD:https://sividoc.com/vi/document/chien-luoc-kenh-phan-phoi-cua-cong-ty-co-phan-thuc-pham-huu-nghi
Chiến lược kênh phân phối của công ty cổ phần thực phẩm Hữu Nghị
TS. BÙI QUANG XUÂN . XÂY DỰNG VĂN HÓA DOANH NGHIỆP
Một dân tộc sống, nếu văn hoá của dân tộc đó sống..
Thành công chỉ đến khi bạn làm việc tận tâm và luôn nghĩ đến những điều tốt đẹp
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
BÁO CÁO THỰC HÀNH DỰ ÁN NGHIÊN CƯU MARKETINGVisla Team
BÁO CÁO THỰC HÀNH DỰ ÁN NGHIÊN CƯU MARKETING với nội dung "Nghiên cứu Mô tả nhu cầu của người tiêu dùng với thương hiệu thời trang Blue Exchange, để Doanh nghiệp có giải pháp kinh doanh tốt". Bài làm do sinh viên Mar37 UEH thực hiện với hi vọng góp ích cho việc học của sinh viên.
We see many Vietnamese wearing glasses. We research with hundreds of Vietnamese to see the market of eye vision, including why they are reluctant to use contact lens
Chiến lược kênh phân phối của công ty cổ phần thực phẩm Hữu Nghịluanvantrust
LINK DOWNLOAD:https://sividoc.com/vi/document/chien-luoc-kenh-phan-phoi-cua-cong-ty-co-phan-thuc-pham-huu-nghi
Chiến lược kênh phân phối của công ty cổ phần thực phẩm Hữu Nghị
TS. BÙI QUANG XUÂN . XÂY DỰNG VĂN HÓA DOANH NGHIỆP
Một dân tộc sống, nếu văn hoá của dân tộc đó sống..
Thành công chỉ đến khi bạn làm việc tận tâm và luôn nghĩ đến những điều tốt đẹp
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Sorting and Filtering Behavior on Online Booking Sites: Implications for hotel revenue management
1. GerART
Loosschilder, Van der Rest, Schwartz and Cordella present:
Sorting and Filtering Behavior
on Online Booking Sites
Implications for hotel revenue management
Starring:
Charlotte
Interaction designer
Astrid
Business traveler
Oscar
Revenue manager GerART
3. GerART3
We also know Astrid as the former queen
of a small yet interesting multilingual country north of Paris.
Princess Queen Realm
4. GerART4
When she was young she was not just a princess
but she was also an ambitious young lady who desired to travel the world.
5. GerART5
However Because Astrid was a princess, she hardly got a chance
to escape from under the suffocating wings of her security detail.
6. GerART6
The Princess was specifically engaged with animal rights. Wherever she could and her
position allowed her, she would engage in activities to defend animals; endangered and
common species alike.
7. GerART7
So one day, she managed to get away. Because of her voluntary work for an animal rights defense
fund she was invited to be the keynote speaker at a conference in beautiful Istanbul.
9. GerART9
Not this time. She was invested in booking the trip herself, and in doing so all alone.
So Astrid visited a booking site.
10. GerART10
Astrid panicked from the choices of hotels and their prices and specifications. It was
overwhelming. How could she choose a hotel if she had never done it or had never been in
Istanbul?
11. GerART11
How could she know about the meaning of ratings if her servants usually made the bed and did
other chores in her household? What did quality of service, staff or facilities mean to her? She
lived in a castle with her own facilities and staff. If she did not like them she would simply fire
them.
12. GerART12
So Astrid went by the structure of the website page of search results
and she choose the top option.
13. GerART13
A few days later she went on her business trip to Istanbul.
She was so excited!
14. GerART14
The hotel room was bad.
It was clear to Astrid that the hotel chain had invested in something else than the room.
15. GerART15
So, she was not satisfied at all, but she learned a lot from this trip. She now understood the
relevance of ratings and she vowed that she would pay more attention to the hotels on the
website next time, instead of going by the order of entries on the website.
17. GerART17
The website operations is under the authority of Oscar; revenue manager for the booking site.
Oscar’s task is to maximize proceedings and profit; his main tool is the commissioning fee that
the booking site charges for bookings. The fee structure is such that the site charges most for
the top placements, and progressively less for the lower placements.
18. GerART18
That’s because Oscar knows that beyond a certain position, the site loses virtually all its traction.
The actual position varies by the source, but usually it says that after position 5 and page 1 it is
done. Oscar does not mind; he is primarily interested in the performance of the top positions and
squeezes the advertisers in those positions relentlessly.
19. GerART19
This strategy works well for Oscar. He is a cherished revenue manager, meeting and
overshooting his targets year after year, being a true asset to the booking site.
21. GerART21
She was happy to work at the booking site.
That’s because it is her ambition to share her passion of travelling with others.
22. GerART22
When Charlotte looked at the booking site is struck her that the UI design was bare. It hardly
included any element that would facilitate the visitor’s search. No functions at all that would
structure the visitor’s choice any differently from the original order on the search results page.
23. GerART23
So Charlotte suggested some minimal and simple UI design changes to the booking site:
sort and filter functions to start with.
24. GerART24
With the Sort function, visitors could reorder the entries on the result page according to a
criterion that was relevant to them, e.g., room prices or ratings of the quality of staff, service,
or facilities. Thereby they could put constraints for the aspects that they would accept and the
set of acceptable solutions.
25. GerART25
With the filter function, visitors could set top and bottom limits to search criteria, such as the
maximum price they would want to pay or the minimum hotel rating they would accept.
26. GerART26
Charlotte took her UI design suggestions to Oscar and explained her intentions. She wanted to
help visitors navigate and search more easily through the options, and by that, ensure that they
ended up with a “better” choice – a choice that would be more satisfying and made sure that they
came back.
27. GerART27
Oscar scolded at her because he saw it as a disruption of his business model: driving
choices to the top positions, and by that, charge high commission fees for those positions.
28. GerART28
Oscar and Charlotte served different interests; Charlotte was looking for visitor satisfaction and
recurring sales in the long run; and Oscar for instant revenue maximization. To demonstrate that
these interests are actually not in conflict and because in the end, both Charlotte and Oscar are
business professionals and not street fighters, they decided to do an experiment.
29. GerART29
They put up both versions of the booking site in an experiment
to see which version performed best.
31. GerART31
Astrid had learned from her trip to Istanbul not to be satisfied with the first entry on the
search results page. So when a next trip to Istanbul for the animal rights fund came up, she
decided to do it different.
32. GerART32
After typing in the details of her trip; the start and return date and the destination, the booking
site offered her a selection of 50 results across various scrollable pages. It was a challenge. But
different from last time, Astrid was happy to learn that the search engine also had changed. It
now also offered the opportunity to sort and filter the results.
33. GerART
Call to action
Hotel Chain, Type
& Style
Distance to city
center
Placement of
hotel on the page
At the bottom of the page there
was a none option, allowing the
respondent not to choose any of
the 50 rooms
The gallery page contained 50 hotel rooms
and their specifications. The respondent had
to browse down to get to lower-positioned
rooms.
Filter functions
on price and ratings
Sort functions on
price and rating Review Score on
cleanliness, staff and
facilities; result in a mean
score and a label
Including room price per
night
34. GerART34
So Astrid filtered the results first by setting a maximum price – which was still high
because in the end, she was still a spoiled little Princess.
35. GerART35
She also set a minimum rating, because why would she keep up with conditions that she
would not accept at home in her palace?
36. GerART36
Now that the choice set was more manageable, Astrid could pay more attention to hotels
themselves: choosing a hotel close to the city center.
37. GerART37
As well as choosing the right chain and brand of hotel that would meet her requirements.
39. GerART39
Astrid took the trip and her hotel was great. In fact, when she did her review on Tripadvisor she
mentioned how she had found the hotel and that it was a true improvement over last time.
41. GerART41
The two versions of the website and their experiment had been up for a couple of weeks.
Oscar and Charlotte met to see the effect on visitor booking behavior.
Both collected ammunition to convince the other of their correctness.
42. GerART42
Point for Charlotte: the use of the functions by a portion of the visitors resulted in a better
distribution of choices. So the real estate value of the site went up because now not only the top
positions performed well but all positions did. Although the effect only applied to those using the
functions, overall value was still better because many of visitors used the functions.
43. GerART43
Point for Oscar: not everybody used the sort and filter functions, so Charlotte may have done a
bad UI design job. That’s of course a cheap punch, but that’s what you can expect of a business
goon. Those who did not use the functions defaulted even more strongly to the top positions. So
if Charlotte designed a better user interface, results would be more evenly distributed.
% of visitors
using the
function
Users could
sort on price
or rating
Users could
sort on price
or rating
Users could
sort on price
or rating
Users could
filter on
price and
rating
44. GerART44
Point for Charlotte: task satisfaction was higher after the introduction of the functions
and the consistency of choices went up. It means that the longer-term value of the site
may have gone up because of the likelihood of repeat business due to happier visitors.
Users who
have the filter
and sort
filters
available are
more
satisfied.
Users who
use the sort
filter on
rating are the
most more
satisfied.
45. GerART45
Point for Oscar: those who did use the filter option, used nothing more often, which
represents lost business. We see this inclination to revert to the absence of a choice in
other metrics too.
… than those who did not have or use the filter.
Users using the filter, more often choose nothing …
46. GerART46
In addition, those who did use the functions chose rooms at lower room prices.
There goes Oscar’s commission. Charlotte seems to have ruined Oscar’s proceedings
from the commission fee by driving the choice for cheaper rooms.
… than those who did not have or use the filter.
Users using sort and filter functions chose cheaper rooms …
The average prices of rooms chosen
48. GerART48
So the jury is still out. The short term results are actually negative because there are fewer
visitors who choose a room and those who do and use a sort and filter function, choose a cheaper
room. So it is a leap of faith if we should advise to keep using the sort and filter function, or any
other UI design measure to steer consumer choices away from the top positions, because it may
have adverse effects.
Let’s begin at the beginning.
Once upon a time there was a princess by the name of Astrid.
Astrid was also an avid traveler.
Some of the trips that she took were actually business trips.
We also know Astrid as the former queen of a small yet interesting multilingual country north of Paris.
When she was young she was not just a princess but she was also an ambitious young lady who desired to travel the world for a good cause.
However Because Astrid was a princess, she hardly got a chance to escape from under the suffocating wings of her security detail.
The Princess was specifically engaged with animal rights, wherever she could and her position let her, she would engage in activities to defend animals; endangered and common species alike.
So one day, she managed to get from under the wings from her staff.
Because of her voluntary work for an animal rights defense fund she was invited to go on a business trip to beautiful Istanbul.
However, because Astrid was a princess, she was not at all used to booking trips for herself. She had staff doing that for her.
Not this time. She was invested in booking the trip herself, and in doing so alone, just as much as she wanted to go alone.
So Astrid visited a booking site. Astrid almost panicked from the choices of hotels and their specifications. It was overwhelming. How could she choose for a hotel style and distance to the city center if she had never been in Istanbul on her own?
How could she know about the meaning of ratings if her servants usually made the bed and did other chores in her household? What did quality of service, staff or facilities mean to her? She lived in a castle with her own facilities and staff. If she did not like them she would simply fire them.
So Astrid went by the structure of the website page of search results choosing the top option.
A few days later she went on her business trip to Istanbul.
The hotel room was bad and it was clear to Astrid that the chain had invested in something else than the room.
So, she was not satisfied at all, but she learned a lot from this trip.
She now understood the meaning of ratings, style and distance of the city center, and she vowed that she would pay more attention to the hotels on the website next time, instead of going by the order of hotel entries on the website.
Who created the tool? Actually, the website operations is under the authority and management of Oscar; revenue manager for the booking site and its parent company.
It is Oscar’s task to maximize proceedings and profit; his main tool is the commissioning fee that the booking site charges for bookings.
The fee structure is such that the site charges most for the top placements, and progressively less for the lower placements.
That’s because Oscar knows that beyond a certain position, the site loses virtually all its traction. The actual knowledge about after which position varies with the source, but let’s say after position 5 it is done. Oscar does not mind; he is primarily interested in the performance of the top positions and manages the advertisers in those positions vigorously.
This strategy works well for Oscar. He is a cherished revenue manager, meeting and overshooting his targets year after year, being a true asset to the booking site.
One day, Charlotte joined the booking site team. Charlotte was an interaction designer by training
She was happy to be employed by the booking site because it is her ambition to share her passions of travelling and going on rides.
When Charlotte looked at the OTA website is struck her that the UI design was bare. It hardly included any element that would facilitate the visitor’s search. No sort and filter functions; no functions at all that would structure the visitor’s choice any differently from the original order on the search results page.
So Charlotte suggested UI design changes to the Booking site: a sort and filter function.
With the Sort function, visitors could reorder the entries on the result page according to a criterion, e.g., room prices or ratings of the hotel on aspects such as the quality of service, facilities or staff, and thereby set limits of characteristics that they would accept.
With the filter function, visitors could set top and bottom limits to search criteria, such as the maximum price they would want to pay or the minimum hotel rating they would accept.
Charlotte took her UI designs to Oscar and explained her intentions.
She wanted to help visitors navigate and search more easily through the options, and by that, ensure that they ended up with a “better” choice.
Oscar scolded at her because he saw it as a disruption of his business model: driving choices to the top positions, and by that, charge high commission fees for those positions.
Oscar and Charlotte seemed to serve different interests; Charlotte was looking for visitor satisfaction and Oscar for revenue maximization.
To demonstrate that these interests are actually not in conflict and because in the end, both Charlotte and Oscar are business professionals and not street fighters, they decided to do an experiment.
They put up both versions of the booking site in an experiment to see which version performed best.
Astrid had learned from her trip to Istanbul not to be satisfied with the first entry on the OTA search results page.
So one day, when her next trip to Istanbul for the animal rights fund came up, she decided to do it different.
After typing in the details of her trip; the start and return date and the destination, the booking site offered her a selection of 50 results across various scrollable pages. But different from last time, Astrid was happy to learn that the search engine also had changed. It now also offered the opportunity to sort and filter the results.
So Astrid filtered the results first by setting a maximum price – which was still high because in the end, she was still a spoiled little Princess,
and a minimum of ratings, because why would she keep up with conditions that she would not accept at home in her palace?
Now that the choice set was more manageable, Astrid could pay more attention to hotels themselves: choosing a hotel close to the city center.
As well as choosing the right chain and brand of hotel that would meet the requirements.
Next it was a matter of finding what she truly liked about the hotel rooms instead of looking at what is first in the list.
She was now more comfortable that whatever she choose, it would more likely meet her requirements.
Astrid took the trip and the hotel of her choice was satisfying.
In fact, when she did her review on Tripadvisor she even mentioned how she had found the hotel, and that it was a true improvement over last time.
The two versions of the website and their experiment had been up for a couple of weeks.
Oscar and Charlotte met to see the effect on visitor booking behavior.
Both collected ammunition to convince the other of their correctness.
Positive 1 for Charlotte: a portion of the visitors used the functions; the use of the functions resulted in a better distribution of the choices.
So the real estate value of the site as such went up because now not only the top positions would perform well but all positions may be better and the fee value may have gone up. Even though the effect of a better distribution only applied to those who actually used the functions, the overall value was still proven because a sufficient number of people used the functions.
Negative 1 for Oscar: not everybody used the sort and filter functions, so Charlotte may have done a bad UI design job.
That’s a cheap punch, but that’s what you can expect of a business goon.
Those who did not use them defaulted even more strongly to the top positions.
So the functions may have limited reach.
Positive 2 for Charlotte: the satisfaction with the site was higher after the introduction of the functions and the consistency of choices went up. It means that the longer-term value of the site may have gone up because of the likelihood of repeat business because visitors are happier.
Negative 2 for Oscar: What’s worse: those who did use them, used the “none” option more often, which represents lost business. We see this inclination to revert to the “none” option in other metrics too (conjoint none option sensitivity).
In addition, those who did use the functions chose rooms at lower room prices. There goes my commission. Charlotte seems to have ruined Oscar’s proceedings from the commission fee remaining in two ways at the same time.
So the jury is still out. The short term results are actually negative because there are fewer visitors who make a choice and those who do, using the sort and filter function. Yet we may have still improved the real estate value of the site, and it is a leap of faith to keep using the sort and filter function, or any other UI design measure to steer consumer choices away from the top positions.