launchdarkly.com Open in urlscan Pro
199.232.194.22  Public Scan

Form analysis
2 forms found in the DOM

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is necessary for running the website correctly.
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context with load balancing, in order to optimize user experience.
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mvMaintains website settings across multiple visits.
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context with load balancing, in order to optimize user experience.
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AWSALBCORSRegisters which server-cluster is serving the visitor. This is used in
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launchdarkly.com

2
BIGipServer# [x2]Used to distribute traffic to the website on several servers in
order to optimise response times.
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app-sj31.marketo.com
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beneficial for the website, in order to make valid reports on the use of their
website.
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Preference cookies enable a website to remember information that changes the way
the website behaves or looks, like your preferred language or the region that
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_biz_flagsAThis cookie serves multiple purposes; it determines whether the user
has submitted any forms, performed cross-domain migration or has made any
tracking opt-out choices.
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@@scroll#Pending
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keyval-store#keyvalUsed to maintain visitors' preferences throughout the visit
and sub-pages.
Expiry: PersistentType: IDB
LinkedIn
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lang [x2]Remembers the user's selected language version of a website
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Wistia
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loglevelMaintains settings and outputs when using the Developer Tools Console on
current session.
Expiry: PersistentType: HTML
wistia-video-progress-#Contains a timestamp for the website’s video-content.
This allows the user to resume watching without having to start over, if the
user leaves the video or website.
Expiry: PersistentType: HTML
Statistics 29

Statistic cookies help website owners to understand how visitors interact with
websites by collecting and reporting information anonymously.
Adobe
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uCollects data on the user's visits to the website, such as the number of
visits, average time spent on the website and what pages have been loaded with
the purpose of generating reports for optimising the website content.
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Bizible
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m/uCollects data on the user’s navigation and behavior on the website. This is
used to compile statistical reports and heatmaps for the website owner.
Expiry: SessionType: Pixel
Cvent
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_dd_sRegisters the website's speed and performance. This function can be used in
context with statistics and load-balancing.
Expiry: 1 dayType: HTTP
Google
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_gaRegisters a unique ID that is used to generate statistical data on how the
visitor uses the website.
Expiry: 2 yearsType: HTTP
_ga_#Used by Google Analytics to collect data on the number of times a user has
visited the website as well as dates for the first and most recent visit.
Expiry: 2 yearsType: HTTP
_gatUsed by Google Analytics to throttle request rate
Expiry: 1 dayType: HTTP
_gidRegisters a unique ID that is used to generate statistical data on how the
visitor uses the website.
Expiry: 1 dayType: HTTP
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_ce.gtldHolds which URL should be presented to the visitor when visiting the
site.
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_clckCollects data on the user’s navigation and behavior on the website. This is
used to compile statistical reports and heatmaps for the website owner.
Expiry: 1 yearType: HTTP
_clskRegisters statistical data on users' behaviour on the website. Used for
internal analytics by the website operator.
Expiry: 1 dayType: HTTP
_hjAbsoluteSessionInProgressThis cookie is used to count how many times a
website has been visited by different visitors - this is done by assigning the
visitor an ID, so the visitor does not get registered twice.
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_hjFirstSeenThis cookie is used to determine if the visitor has visited the
website before, or if it is a new visitor on the website.
Expiry: 1 dayType: HTTP
_hjIncludedInPageviewSampleUsed to detect whether the user navigation and
interactions are included in the website’s data analytics.
Expiry: 1 dayType: HTTP
_hjIncludedInSessionSampleRegisters data on visitors' website-behaviour. This is
used for internal analysis and website optimization.
Expiry: 1 dayType: HTTP
_hjSession_#Collects statistics on the visitor's visits to the website, such as
the number of visits, average time spent on the website and what pages have been
read.
Expiry: 1 dayType: HTTP
_hjSessionUser_#Collects statistics on the visitor's visits to the website, such
as the number of visits, average time spent on the website and what pages have
been read.
Expiry: 1 yearType: HTTP
ajs_anonymous_idThis cookie is used to count how many times a website has been
visited by different visitors - this is done by assigning the visitor an ID, so
the visitor does not get registered twice.
Expiry: 1 yearType: HTML
amplitude_#Registers statistical data on users' behaviour on the website. Used
for internal analytics by the website operator.
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amplitude_unsent_#Used in context with the website’s pop-up questionnaires and
messengering. The data is used for statistical or marketing purposes.
Expiry: PersistentType: HTML
amplitude_unsent_identify_#Used in context with the website’s pop-up
questionnaires and messengering. The data is used for statistical or marketing
purposes.
Expiry: PersistentType: HTML
ubvtCollects data on the user's visits to the website, such as the number of
visits, average time spent on the website and what pages have been loaded with
the purpose of generating reports for optimising the website content.
Expiry: 2 daysType: HTTP
LinkedIn
1
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AnalyticsSyncHistoryUsed in connection with data-synchronization with
third-party analysis service.
Expiry: 29 daysType: HTTP
New Relic
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events/1/#Used to monitor website performance for statistical purposes.
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jserrors/1/#Pending
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personalization_idThis cookie is set by Twitter - The cookie allows the visitor
to share content from the website onto their Twitter profile.
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Vimeo
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vuidCollects data on the user's visits to the website, such as which pages have
been read.
Expiry: 2 yearsType: HTTP
Wistia
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undefinedCollects data on visitor interaction with the website's video-content.
This data is used to make the website's video-content more relevant towards the
visitor.
Expiry: PersistentType: HTML
wistiaUsed by the website to track the visitor's use of video-content - The
cookie roots from Wistia, which provides video-software to websites.
Expiry: PersistentType: HTML
YouTube
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yt-player-headers-readableUsed to determine the optimal video quality based on
the visitor's device and network settings.
Expiry: PersistentType: HTML
Marketing 45

Marketing cookies are used to track visitors across websites. The intention is
to display ads that are relevant and engaging for the individual user and
thereby more valuable for publishers and third party advertisers.
Meta Platforms, Inc.
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_fbpUsed by Facebook to deliver a series of advertisement products such as real
time bidding from third party advertisers.
Expiry: 3 monthsType: HTTP
6sc.co
1
6suuidRegisters user behaviour and navigation on the website, and any
interaction with active campaigns. This is used for optimizing advertisement and
for efficient retargeting.
Expiry: 2 yearsType: HTTP
Adelphic
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ci_rtcPending
Expiry: 2 monthsType: HTTP
Bizible
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m/ipvRegisters user behaviour and navigation on the website, and any interaction
with active campaigns. This is used for optimizing advertisement and for
efficient retargeting.
Expiry: SessionType: Pixel
_biz_nACollects data on visitors' preferences and behaviour on the website -
This information is used make content and advertisement more relevant to the
specific visitor.
Expiry: 1 yearType: HTTP
_biz_pendingACollects data on visitors' preferences and behaviour on the website
- This information is used make content and advertisement more relevant to the
specific visitor.
Expiry: 1 yearType: HTTP
_biz_sidCollects data on visitors' preferences and behaviour on the website -
This information is used make content and advertisement more relevant to the
specific visitor.
Expiry: 1 dayType: HTTP
_biz_uidCollects data on visitors' preferences and behaviour on the website -
This information is used make content and advertisement more relevant to the
specific visitor.
Expiry: 1 yearType: HTTP
Claritas
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barometric[cuid]Collects data on visitors. This information is used to assign
visitors into segments, making website advertisement more efficient.
Expiry: 1 yearType: HTTP
Google
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IDEUsed by Google DoubleClick to register and report the website user's actions
after viewing or clicking one of the advertiser's ads with the purpose of
measuring the efficacy of an ad and to present targeted ads to the user.
Expiry: 1 yearType: HTTP
pagead/landing [x2]Collects data on visitor behaviour from multiple websites, in
order to present more relevant advertisement - This also allows the website to
limit the number of times that they are shown the same advertisement.
Expiry: SessionType: Pixel
pagead/viewthroughconversion/960335887Pending
Expiry: SessionType: Pixel
ads/ga-audiencesUsed by Google AdWords to re-engage visitors that are likely to
convert to customers based on the visitor's online behaviour across websites.
Expiry: SessionType: Pixel
pagead/1p-conversion/#Pending
Expiry: SessionType: Pixel
pagead/1p-user-list/#Tracks if the user has shown interest in specific products
or events across multiple websites and detects how the user navigates between
sites. This is used for measurement of advertisement efforts and facilitates
payment of referral-fees between websites.
Expiry: SessionType: Pixel
_gcl_auUsed by Google AdSense for experimenting with advertisement efficiency
across websites using their services.
Expiry: 3 monthsType: HTTP
LaunchDarkly
6
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__tld__Used to track visitors on multiple websites, in order to present relevant
advertisement based on the visitor's preferences.
Expiry: SessionType: HTTP
_rdt_uuidUsed to track visitors on multiple websites, in order to present
relevant advertisement based on the visitor's preferences.
Expiry: 3 monthsType: HTTP
_uetsidCollects data on visitor behaviour from multiple websites, in order to
present more relevant advertisement - This also allows the website to limit the
number of times that they are shown the same advertisement.
Expiry: 1 dayType: HTTP
_uetvidUsed to track visitors on multiple websites, in order to present relevant
advertisement based on the visitor's preferences.
Expiry: 1 yearType: HTTP
ajs_user_idCollects data on visitors' preferences and behaviour on the website -
This information is used make content and advertisement more relevant to the
specific visitor.
Expiry: PersistentType: HTML
amplitude_cookie_testDetects whether partner data synchronization is functioning
and currently running - This function sends user data between third-party
advertisement companies for the purpose of targeted advertisements.
Expiry: SessionType: HTTP
LinkedIn
4
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bcookieUsed by the social networking service, LinkedIn, for tracking the use of
embedded services.
Expiry: 2 yearsType: HTTP
bscookieUsed by the social networking service, LinkedIn, for tracking the use of
embedded services.
Expiry: 2 yearsType: HTTP
lidcUsed by the social networking service, LinkedIn, for tracking the use of
embedded services.
Expiry: 1 dayType: HTTP
UserMatchHistoryEnsures visitor browsing-security by preventing cross-site
request forgery. This cookie is essential for the security of the website and
visitor.
Expiry: 29 daysType: HTTP
Marketo
1
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_mkto_trkContains data on visitor behaviour and website interaction. This is
used in context with the email marketing service Marketo.com, which allows the
website to target visitors via email.
Expiry: 2 yearsType: HTTP
Meta Platforms, Inc.
2
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frUsed by Facebook to deliver a series of advertisement products such as real
time bidding from third party advertisers.
Expiry: 3 monthsType: HTTP
trUsed by Facebook to deliver a series of advertisement products such as real
time bidding from third party advertisers.
Expiry: SessionType: Pixel
Quora
1
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_/ad/75aa344edeef4dbfa3b3dd7cb5f40e6f/pixelCollects data on user behaviour and
interaction in order to optimize the website and make advertisement on the
website more relevant.
Expiry: SessionType: Pixel
Soundcloud
1
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WIDGET::local::assignmentsUsed by audio-platform SoundCloud to implement,
measure and improve their embedded content/service on the website - The
collection of data also includes visitors’ interaction with embedded
content/service. This can be used for statistics or marketing purposes.
Expiry: PersistentType: HTML
Twitter Inc.
3
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i/adsct [x2]The cookie is used by Twitter.com in order to determine the number
of visitors accessing the website through Twitter advertisement content.
Expiry: SessionType: Pixel
muc_adsCollects data on user behaviour and interaction in order to optimize the
website and make advertisement on the website more relevant.
Expiry: 2 yearsType: HTTP
YouTube
3
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VISITOR_INFO1_LIVETries to estimate the users' bandwidth on pages with
integrated YouTube videos.
Expiry: 179 daysType: HTTP
YSCRegisters a unique ID to keep statistics of what videos from YouTube the user
has seen.
Expiry: SessionType: HTTP
ytidb::LAST_RESULT_ENTRY_KEYStores the user's video player preferences using
embedded YouTube video
Expiry: PersistentType: HTML
b.6sc.co
1
v1/beacon/img.gifUsed in context with Account-Based-Marketing (ABM). The cookie
registers data such as IP-addresses, time spent on the website and page requests
for the visit. This is used for retargeting of multiple users rooting from the
same IP-addresses. ABM usually facilitates B2B marketing purposes.
Expiry: SessionType: Pixel
cdn.bizible.com
cdn.bizibly.com

2
_BUID [x2]Collects data on visitors' preferences and behaviour on the website -
This information is used make content and advertisement more relevant to the
specific visitor.
Expiry: 1 yearType: HTTP
j.6sc.co
4
_an_uidPresents the user with relevant content and advertisement. The service is
provided by third-party advertisement hubs, which facilitate real-time bidding
for advertisers.
Expiry: 6 daysType: HTTP
_gd_sessionCollects visitor data related to the user's visits to the website,
such as the number of visits, average time spent on the website and what pages
have been loaded, with the purpose of displaying targeted ads.
Expiry: 1 dayType: HTTP
_gd_svisitorCollects visitor data related to the user's visits to the website,
such as the number of visits, average time spent on the website and what pages
have been loaded, with the purpose of displaying targeted ads.
Expiry: 2 yearsType: HTTP
_gd_visitorCollects visitor data related to the user's visits to the website,
such as the number of visits, average time spent on the website and what pages
have been loaded, with the purpose of displaying targeted ads.
Expiry: 2 yearsType: HTTP
Unclassified 12
Unclassified cookies are cookies that we are in the process of classifying,
together with the providers of individual cookies.
Airtable
1
Learn more about this provider
internal/page_viewPending
Expiry: SessionType: Pixel
Cvent
5
Learn more about this provider
dd_cookie_test_#Pending
Expiry: 1 dayType: HTTP
eventguestside-service-sessionPending
Expiry: SessionType: HTTP
registration-1b38b19d-e697-4c72-bb50-e666089ab6e5Pending
Expiry: PersistentType: HTML
registration-34ba815c-7d88-43d4-9bd8-2f5b679254d0Pending
Expiry: PersistentType: HTML
registration-7968024f-e89a-457f-a705-83506828faafPending
Expiry: PersistentType: HTML
LaunchDarkly
4
Learn more about this provider
amplitude_id_#Pending
Expiry: 10 yearsType: HTTP
ld:#:#Pending
Expiry: PersistentType: HTML
ld:#:$diagnosticsPending
Expiry: PersistentType: HTML
ld:$anonUserIdPending
Expiry: PersistentType: HTML
js.qualified.com
2
__q_domainTestPending
Expiry: SessionType: HTTP
__q_state_BN8NXAwRcuN5KnVdPending
Expiry: 10 yearsType: HTTP
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AFTER

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ABOUT LOOM

Loom is the video communication platform for async work that helps companies
communicate better at scale. Loom makes it easy to record quick videos of your
screen and camera and instantly share them with a link. More than 14M users
across more than 200k companies around the world trust Loom to share feedback,
updates, intros, training, and more – every day. Founded in late 2015, Loom has
raised $203M from world-class investors including Andreessen Horowitz, Sequoia,
Kleiner Perkins, Iconic, and Coatue. To learn more please visit www.loom.com


CHALLENGE

Loom’s Growth team, a band of product managers, software engineers, and data
scientists, has a singular focus: to increase user acquisition and engagement.
With that end in mind, they devise the product roadmap, build new functionality,
and improve existing features.

Early on, the team wanted to adopt a culture of experimentation and inform
product decisions with data. What reinforced this desire was, in the past, they
had run experiments on features they were confident would perform well. But the
experiment results disproved their assumptions. Experiences like these
strengthened the Growth team’s resolve to pursue data-driven product
development.

In the past, they weren’t shipping experiments as often as they would have
liked. One manual procedure, in particular, slowed them down. 

Developers had to write custom logic when setting the inclusion criteria for an
experiment—i.e., the targeting rules dictating which end-users should and should
not see the features in an experiment. This alone was a hassle. But to make
things more challenging, the logic would sometimes malfunction. It would bar
intended users from experiments while granting access to unintended users.
Developers would then have to troubleshoot the issue.

OUR OLD APPROACH TO EXPERIMENTATION WAS TOO COMPLICATED FROM AN ENGINEERING
PERSPECTIVE. IT ATE UP DEVELOPER TIME THAT WOULD HAVE BEEN BETTER SPENT ON
BUILDING ACTUAL FEATURES, NOT WRITING CUSTOM TARGETING RULES.

Steve Milburn

Senior Software Engineer, Technical Lead, Loom


SOLUTION

The Growth team had already been using LaunchDarkly for release management. They
leveraged feature flags to progressively deliver new functionality, which
increased their deployment velocity and lowered their risk profile.  

After gaining a deeper understanding of experimentation and targeting in
LaunchDarkly, they began getting more creative with their experiments in the
platform. 

Here’s a typical experiment workflow they now follow with LaunchDarkly. Product
managers set the parameters for an experiment. Developers then build one or
multiple variations of a new feature and wrap them in feature flags. They set
fine-grained targeting rules in LaunchDarkly to ensure the right users see the
right feature variations in the experiment. Moreover, with LaunchDarkly, they
can restrict the experiment to a small subset of users. 

Then, developers deploy the experiment to production. If a bug arises, they can
hit a kill switch in LaunchDarkly (i.e., toggle a flag) and resolve the issue in
real-time. Otherwise, they proceed with the experiment and gather key
performance metrics as they go. The data generated from the experiment gets
streamed to Segment, then to Snowflake, and then ultimately to Tableau, where
data scientists analyze the results. 

This workflow is more efficient than what they had previously. 

In using feature flags to run experiments, Loom is able to integrate experiments
with the software delivery process. That is, the experimentation and software
delivery workflows are one; they aren’t siloed. The Growth team can thus
gradually roll out features and run experiments on those features—all at once,
all in production, all in LaunchDarkly. 

Not long ago, they planned to unveil a substantial product change that would
have a broad impact on the user experience. Rather than release it to the full
audience in one big precarious splash, they rolled it out in phases. Using
custom targeting in LaunchDarkly, they gradually released the new features to
75K specific Loom Workspaces over the course of a few days. 

Simultaneously, they ran experiments on those features within the designated
Workspaces. They gathered customer feedback, tracked usage metrics, and measured
the impact on system performance. They then iterated on those features based on
the qualitative and quantitative data they collected. 

The launch was a success. And it was less stressful than it might otherwise have
been.   


RESULTS

Loom now runs more overall experiments on application features than before. And
they deploy the winners from those experiments in less time.

In the past, when engineers had to troubleshoot targeting issues, it could delay
an experiment by 2-3 weeks in some cases. But now leveraging LaunchDarkly’s
powerful targeting rules, the team can ship experiments in a single day.

IN ALLOWING US TO RUN MORE EXPERIMENTS, LAUNCHDARKLY HAS HELPED US BECOME MORE
DATA-DRIVEN WITH PRODUCT DECISIONS. WE’RE NOW SEEING HIGHER LEVELS OF ENGAGEMENT
WITH THE FEATURES WE SHIP. THIS TRANSLATES TO REAL BUSINESS VALUE.

Janie Lee

Director of Product Management, Loom

LaunchDarkly helps Loom continue to deliver value to millions of people across
the globe who rely on—and love—their video communication platform.


LAUNCHDARKLY MAKES IT EASIER TO SET UP, RUN, AND DERIVE VALUE FROM EXPERIMENTS.
WE’RE SHIPPING EXPERIMENTS MUCH FASTER THAN BEFORE.

LoomSteve MilburnSenior Software Engineer, Technical Lead


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