BDW16 London - Josh Partridge, Shazam - How Labels, Radio Stations and Brands Leverage Shazam Data

•

0 likes•261 views

“At Shazam, we think data can be beautiful and stunningly inspiring. The pictures we paint with our data tell stories about changing culture, tastes, and shared discoveries. A truly great new song can sweep across the globe in a wave of Shazams that transcends politics, language, or religion”, Greg Glanday, Chief Revenue Officer at Shazam. This presentation will offer the audience a few examples of how they can use the data from Shazam to get fantastic insight into the consumers` preferences, and how to take that insight and apply it to a brand. Giving 3 or 4 great examples of what we do at Shazam, anyone in the audience can understand what this data means, really see this data and then be able to leverage it to make smart marketing decisions. Main takeaway: a clear understanding of what Shazam data is and how brands can use it.

Technology

When people go “Wow, what song is this?”
The most Shazamed songs of Q1 2016, and the most Shazamed moments in those songs
"Stressed Out" by Twenty One Pilots
"Faded" by Alan Walker
"Love Yourself" by Justin Bieber
"7 Years" by Lukas Graham
"Me, Myself & I" by G-Eazy & Bebe Rexha
Seconds into the song
%ofShazamActivity

“StressedOut”&
“LoveYourself”
“Faded”
“7Years”
“Me,Myself&I”
"Stressed Out" by Twenty One Pilots
"Faded" by Alan Walker
"Love Yourself" by Justin Bieber
"7 Years" by Lukas Graham
"Me, Myself & I" by G-Eazy & Bebe Rexha
Top songs make a valuable first impression
These top 5 songs saw the most Shazams in the first minute – some earlier than others
1
1 1
1
1

"Stressed Out" by Twenty One Pilots
"Faded" by Alan Walker
"Love Yourself" by Justin Bieber
"7 Years" by Lukas Graham
"Me, Myself & I" by G-Eazy & Bebe Rexha
2
2
2
2
2
But certain songs sustain that activity longer
Justin Bieber’s “Love Yourself” has the most consistent activity trend of the top 5 songs
3 4
33 4
3
1
1 1
1
1
# of
Spikes
3
3
5
2
4
5

The shape of the biggest genres
POP
1. “Love Yourself” by Justin Bieber
2. “7 Years” by Lukas Graham
3. “Stitches” by Shawn Mendes
4. “I Took a Pill in Ibiza (Seeb Remix)” by Mike Posner
5. “Cake By The Ocean” by DNCE
HIP HOP/RAP
1. “Me, Myself & I” by G-Eazy & Bebe Rexha
2. “Work” by Rihanna Feat. Drake
3. “My House” by Flo Rida
4. “Hotline Bling” by Drake
5. “Est-Ce Que Tu M'aimes ?” by Maître Gims
DANCE
1. “Faded” by Alan Walker
2. “Ego” by Willy William
3. “Reality” by Lost Frequencies Feat. Janieck Devy
4. “Sugar” by Robin Schulz Feat. Francesco Yates
5. “Bang My Head” by David Guetta Feat. Sia & Fetty Wap
The top 5 most Shazamed songs by Genre in Q1 2016
The top 5 most Shazamed
songs by Genre in Q1 2016 Shazam Activity over the duration of the songs:
Pop songs are most consistent
Hip Hop/Rap songs have the earliest and most prominent spikes
Dance songs spike early and trail off early

How fast do different countries Shazam?
Indexing :10 sec intervals by country to the global average – Pop Shazams in 2016
The UK and Mexico are the only two countries to over-index the global
average for Shazaming Pop songs in the first 10 seconds.
Congratulations, you are the fastest Shazamers around!
We chose 6 of Shazam’s largest countries and took a look at if
there were noticeable differences in how fast people Shazam
Pop songs compared to the global average.
Here’s what we found…
The US likes to listen to the first two minutes of the song before
Shazaming – they’re a little pickier.
The UK takes a very segmented approach to their Shazams – either
Shazaming at the very beginning, the very end, or right in the middle
of songs.
Italy offers the most consistency, Shazaming at around the same
time for the duration of the song.
Interval UK US IT FR MX AU
:00-:10 109 98 75 95 116 91
:10-:20 103 101 86 97 109 103
:20-:30 102 100 94 101 102 107
:30-:40 98 98 100 102 101 102
:40-:50 99 95 102 103 99 101
:50-1:00 97 96 102 100 101 98
1:00-1:10 98 95 102 101 100 97
1:10-1:20 98 93 103 104 97 97
1:20-1:30 98 95 103 107 96 96
1:30-1:40 98 98 103 105 97 97
1:40-1:50 99 101 102 100 97 99
1:50-2:00 103 102 104 96 98 99
2:00-2:10 100 104 104 97 95 100
2:10-2:20 100 105 103 98 94 101
2:20-2:30 98 104 102 98 96 102
2:30-2:40 96 105 102 97 96 101
2:40-2:50 101 105 100 99 95 102
2:50-3:00 101 109 104 95 95 107
3:00-3:10 101 111 108 92 97 105
3:10-3:20 98 113 107 94 96 109
3:20-3:30 100 114 108 95 100 108
3:30-3:40 100 110 118 94 104 94
3:40-3:50 105 106 118 97 103 91
3:50-4:00 105 108 107 92 110 90
4:00-4:10 113 109 114 96 106 90
4:10-4:20 107 109 114 100 109 86
4:20-4:30 104 115 99 108 107 87
4:30-4:40 111 117 99 101 110 86
4:40-4:50 118 113 96 106 110 85
4:50-5:00 119 113 97 113 107 79

Here’s the
songs hook
- 10 10-20 30-40 50-60 70-80 90-100 110-120 130-140 150-160 170-180 190-200 230-240 250-260 270-280
We know which part
of the song is
most popular.

Demi Lovato Global Shazam Activity.
Trending in US, Europe and Brazil

© Copyright 2015 Shazam Entertainment Limited

© Copyright 2016 Shazam Entertainment Limited
Kenzo video

© Copyright 2016 Shazam Entertainment Limited

Thank You…
For more please drop me a note…
Josh.partridge@shazam.com

Tomer George Cohen is a musician who blends influences from around the world in his eclectic sound. He leads a 12-member band called George & The Good Vibes that features horns, percussion, bass, and keys. Their sound incorporates elements of Afrobeat, Latin jazz, and other global genres. Cohen writes most of the band's original compositions. They have released two albums and perform live, delivering a dense musical experience on stage. Cohen draws from a variety of cultural influences to create his dynamic, multi-cultural sound.

Flat plan (1)

Will Harris

This magazine document contains information about upcoming music events, artists, albums, and reviews across 114 pages. It includes sections on festival lineups, tour dates for bands, cover features on artists with images, interviews of new and upcoming musicians, reader questions and reviews, articles on the top albums of all time and best songs of the month/year, and a monthly music review with images. It also has pieces on musician fashion, playlists, and an old but gold artists article with images.

Ellie Vivienne Patrikios Acting Resume

Ellie Patrikios

This document provides a summary of Ellie Patrikios' training, experience, and skills as an actress for film. It details her Bachelor's degree in Fine Arts in Acting from The New York Film Academy from 2012-2015. It lists her extensive theatrical experience including roles in plays and musicals. It also outlines her commercial and film credits as both an actress and voiceover artist. The document emphasizes her training in various acting techniques as well as skills like combat fighting, languages, and her physical attributes that make her well-suited for acting work.

Bar charts

julianasmedia

This document summarizes the results of a music research survey. 10 people between ages 16-20 were surveyed about their music preferences and opinions on music videos. Most respondents listened to hip-hop and rock music and watched music videos daily on YouTube. When asked about music video content, 70% said videos should include both music performance and narrative elements. The survey also found that rock music videos are generally expected to have sad emotions and a dark theme.

Music video analysis – sum 41 – fat lip

JenniferCreed

This music video for the song "Fat Lip" by Sum 41 uses various camera techniques and editing styles. It depicts the band as typical teenage skater boys of the time through their clothing and surroundings. The video closely follows the lyrics of the song through its imagery, showing scenes related to the lyrics. It presents the band as normal teenage boys pursuing their dreams in the music industry through rapping and performances.

Music video analysis

group8longroad

Saints row 3 audio analysis

maximgummer

This document provides a breakdown of a scene from a video game with timestamps, descriptions of what is happening visually, descriptions of relevant sounds, and explanations of how the sounds impact the scene. Specifically, it describes the Saints ambushing the Morningstar gang at a penthouse party. Loud party noises are heard initially, then a helicopter is heard in the distance as the camera pans out. The boss jumps from the helicopter while Kanye West's "Power" plays, and wind sounds are heard during the descent. Gunshots and slapping/grabbing sounds are used during the fight, with distorted radio sounds and slapstick effects to keep the tone bright and silly rather than intense.

What makes a good student video

Baska1142

A good student music video needs smooth editing with precise lip syncing, rhythmic pacing matched to the music, and high quality video and effects. The video's mise en scene and aesthetic should support the song's mood and message. For example, a flashy club-scene video with a gold dress fits an upbeat popular song. Consideration of details like time of day and scene changes between verses also impact the video's quality. Different genres may call for different aesthetics and scenarios, like a rock video set in a concert or garage featuring the band. Including a story is common for rock videos but not essential if the mise en scene still matches the song well.

The document discusses Bupa's use of analytics in healthcare, including risk modelling and care management, and referral management. For risk modelling and care management, Bupa uses predictive modelling to identify high-risk patients for targeted outreach programs, which have led to reductions in outpatient visits, tests, and surgical procedures, saving 9-10% in care costs. For referral management, Bupa profiles over 18,000 consultants based on claims data to guide over 700,000 pre-authorizations, achieving estimated healthcare savings of 9-11% of guided spend.

BDW16 London - Marius Boeru, Bigstep - How to Automate Big Data with Ansible

Big Data Week

BDW16 London - Charlie Ballard, TripAdvisor - TripAdvisor and Constant Change...

Big Data Week

The world of travel is changing more rapidly than ever before, as consumers are inspired by low costs and social media to fly further away, more often, and for longer stays, and in general see more of the world. This is all in addition to massive changes on the supply side with the rise of the sharing economy, downward price pressure and increased demand for diversification. With the travel industry in such flux, long-term strategic planning can be an incredible challenge for any travel company. How can the travel industry predict ‘the next big thing’? With such global travellers, how does a hotel know where to invest next? What trending data can be safely relied on in this market? As the world’s largest travel site, TripAdvisor is in a unique position to help the world’s travel industry better understand and react to these changes, but how does TripAdvisor play a role when its primary mission has always been to provide a voice to the traveller? What is the value of the consumer data, what are the risks, and what are the potential benefits in terms of enhancing partner relationships? Let’s discuss.

BDW16 London - Vojta Rocek, Trologic - Challenging Big Data

Big Data Week

Many big data projects ultimately make life harder, not easier, for the end user. Businesses everywhere are swamped with data, decisions are slower and still based on gut feeling, and moreover, 95 % of company data is noise. If you are going through the same pains and wish for a world where your BI can answer what are the top opportunities right now, which market segment has the greatest potential, and what is being done about the top five disasters, you should come listen this talk. Vojta will briefly demo a solution that brings all these benefits. He will show you how you can cut costs in hospitals, improve profitability in banking and insurance and drive revenue in retail and FMCG.

BDW16 London - Rob Anderson, MapR - Big Data and Everyday Lives

Big Data Week

Big Data is changing our lives, discuss what interactions you have on a daily basis with this technology. Introduction to MapR India’s Aadhaar project This is an unusual Hadoop-based project that is changing society in fundamental ways. How do you identify every person in India, uniquely and reliably—all 1.2 billion of them. United Health Group Customer will be trying to bring in new data sources to enable them to become a platform based business where IT works for the business and doesn’t dictate the art of the possible. From here I will describe how UHG changed their business. Decisions That Drive Successful Hadoop Projects What are the decisions that drive successful Hadoop projects?

BDW16 London - Roland Major, Transport for London - Cloud Search Secured

Big Data Week

At Transport for London (TfL) we move people and things around London. As our city grows, we come under more focus to get the most efficient use of our networks, as well as keeping them moving. This is where data analytics make all the difference. We have a wide range of information which we use for operational purposes as well as incident-related investigations while meeting the obligations under the Freedom of Information Act. This presentation covers the evolving architecture and services we are building at TfL to pull together our diverse information sets for a better support of operational decision making. Also, we put forward our post-event analysis as well as detailed investigations where things might have gone wrong while remaining compliant with our regulatory obligations. It’s all about spatiality and security. Time and location are the keys to bringing information sets together, to identify related facts or to correlate them. This is being delivered while working with both restricted and confidential-rated data with very different security needs. Bringing all these together required some unusual approaches to segregation and integration while working with the existing governance processes.

BDW16 London - John Callan, Boxever - Data and Analytics - The Fuel Your Bran...

Big Data Week

Unsuccessful marketing campaigns are leaving customers disgruntled, making them 40% less likely to return. Companies are casting aside useful data that can provide further insights into better products/better connections with customers. John Callan, VP of Marketing at Boxever will discuss how AI can change how businesses predict trends, reduce risks, and improve efficiency. Audience will: Gain expert-level understanding of data and machine learning that’s used in today’s market Identify successful ways companies use machine learning to target customers with personalized content Learn from major airlines use-cases to skillfully target customers and show them exactly what they want to see.

BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning

Big Data Week

Deep learning, a new class of AI (Artificial Intelligence) algorithms is making big promises to unlock an unprecedented level of intelligence from voluminous forms of structured and unstructured data produced from online data factories and internet-enabled smart devices. But despite the big hype about big data, deep learning and AI in general, less than half of the projects undertaking by companies looking to push the boundaries of analytics through data science fail to deliver the expected results according to a recent Gartner’s study. From our experience, a major factor in this failure is the myopic view of technology coupled with lack of understanding of what’s needed to build an ecosystem of analytics technology architecture, talent resources and systems of governance. We present a national e-health analytics transformation case study where we describe the recipe for how we envision analytics to be able to create the spin-off factor to reshape and revolutionize the industry landscape through our tested and proven framework of “Transform and Digitize”, Inform and Contextualize”, Embed and Institutionalize, “Innovate and Evangelize”. For organizations, large and small, to deepen their learning and win with analytics a holistic approach has to address all the underlying components across the full analytics value chain…. it’s a never-ending journey!

BDW16 London - Mark van Rijmenam, Datafloq - Big Data is Dead, Long Live Big ...

Big Data Week

Big Data was once hyped but is now a mature technology that can be used productively. The article discusses three important Big Data trends: 1) Using data to empower employees to detect unknown problems and make better decisions; 2) Leveraging blockchain to decentralize data and empower communities; 3) Growing power of algorithms that will automate many jobs like driving and customer service, and even be given board seats in companies. Big Data is no longer a hype and can now be applied to create value.

BDW16 London - Jonny Voon, Innovate UK - Smart Cities and the Buzz Word Bingo

Big Data Week

BDW16 London - Ingrid Funie, Imperial College London - Machine Learning and F...

Big Data Week

The main focus of the Custom Computing research group from Imperial College London is hardware acceleration for a range of applications such as finance, genomics, energy, image recognition and mathematical optimisation. We present how different machine learning techniques are employed in the research world in an attempt to try and provide cutting-edge solutions to a multitude of industrial applications. It is important to emphasise the fact that machine learning is becoming such an important part of the global research community, with a strong presence in many research groups, regardless of their primary areas of expertise.

BDW16 London - Scott Krueger, skyscanner - Does More Data Mean Better Decisio...

Big Data Week

We have seen vast improvements to data collection, storage, processing and transport in recent years. An increasing number of networked devices are emitting data and all of us are preparing to handle this wave of valuable data. Have we, as data professionals, been too focused on the technical challenges and analytical results? What about the data quality? Are we confident about it? How can we be sure we are making good decisions? We need to revisit methods of assessing data quality on our modernized data platforms. The quality of our decision making depends on it.

BDW16 London - Chris von Csefalvay, Helioserv - Cats and What They Tell us Ab...

Big Data Week

The Internet of Things is the biggest challenge Big Data has ever faced. For the first time in history, inexpensive connected devices with sensors are available that generate vast amounts of data in seconds. What does it mean for data science that my cat generates gigabytes of data every few hours? Clearly the emergence of IoT technologies will change Big Data as we know it, quite possibly beyond recognition. I will outline three ways in which the IoT explosion will change how we work, three assumptions about data it has irrevocably challenged and three ways we can not merely cope but thrive within this unprecedented expansion of data volumes, velocity and variety (and cats).

BDW16 London - John Belchamber, Telefonica - New Data, New Strategies, New Op...

Big Data Week

Through the experiences of supporting a Multi-Country roll out using data to drive more effective Network capability, we will explain how we have: Created new internal capability to support local countries, developed skill sets in the country and provided technical infrastucture, algorithms and visualisations to drive the data culture and big data strategies across Telefonica business units. Through this framework, we will explain how to blend technical and business needs to maximise the benefits and drive better business performance.

BDW16 London - Wael Elrifai, Pentaho - Big Data-Driven Innovatiom

Big Data Week

This presentation will explore data gathering techniques, tools, and analysis processes in the business innovation process. By way of example, the presentation will outline the stages of planning, designing, and delivering behind one of today’s most popular business innovation use cases for IoT – a predictive maintenance system. It will also reveal the different areas in which businesses gain value (and cost savings) by automating the processes of data engineering and data discovery.

BDW16 London - William Vambenepe, Google - 3rd Generation Data Platform

Big Data Week

1. The document discusses Google Cloud's 3rd generation data platform and services for managing large-scale data and analytics workloads. It focuses on managed services that allow users to focus on insights rather than infrastructure maintenance. 2. The platform includes services for data ingestion, processing, storage and analytics including Cloud Pub/Sub, Dataflow, BigQuery, Dataproc, Bigtable and Cloud Storage. It aims to provide a serverless platform with auto-optimized usage and pay per use pricing model. 3. Over 15 years Google has developed technologies for tackling big data problems including papers, open source projects and cloud products. Core components of their data platform are discussed including the Beam programming model and Dataflow for unified

BDW16 London - Alex Bordei, Bigstep - Building Data Labs in the Cloud

Big Data Week

Building Data Labs in the Cloud summarizes how to build data labs in the cloud by connecting on-premise services through VPN or targeted firewalls, integrating identity services between on-premise and cloud realms, enabling single sign-on with two-factor authentication, using encryption with cloud or on-premise HSMs, leveraging Spark for data science, SQL, ETL, machine learning and graph processing, adopting a multi-context architecture for maintenance and efficiency, and ensuring real-time systems provide performance, stability, serviceability and fault tolerance.

BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...

Big Data Week

The Basel Committee on Banking Supervision (BCBS) and local regulators has been focussed on making banks more safe and resilient. A whole raft of new capital charges and constraints on liquidity and leverage have been introduced: Basel II.5, Basel III, Dodd-Frank, FRTB (“Basel IV”), etc. These have significantly increased the risk data management capabilities banks must have—capabilities that only big data tools can provide. This talk will cover the challenges of building a position-aware risk management platform that properly aggregates all intra-day trading activity, monitors exposures and risk. The fast data stack can help banks create such a platform and provide a robust foundation to achieve compliance and, ultimately a significant competitive edge by making efficient use of capital.

BDW16 London - Mishal Patel, NHS - Modernising Routine Breast Cancer Using Bi...

Big Data Week

Radiological imaging is fundamental within the healthcare industry and has become routinely adopted for diagnosis, disease monitoring and treatment planning. With the advent of digital imaging modalities and the rapid growth in both diagnostic and therapeutic imaging, the ability to able to harness this large influx of data is of paramount. Traditionally, the systematic collection of medical images for research from heterogeneous sites has not been commonplace within the NHS and is fraught with challenges including; data acquisition, storage, secure transfer and correct anonymisation. Here we describe the development and implementation of a national centralised oncology image database and discuss the central issues associated with large-scale image acquisition from heterogeneous sites. The ability to collect fully annotated sets of images for research opens to door to a multitude of potential research opportunities that utilise the legacy images, such as quantitative image informatics. Medical imaging provides the ability to detect and localise many changes that are important to determine whether a disease is present or a therapy is effective by depicting alterations in the anatomic, physiologic, biochemical or molecular process. Calculating quantitative imaging features from acquired images and using these to build computational models to investigate detection, prognosis, and classification.

BDW16 London - Harry Powell & Raffael Strassnig, Barclays UK - Graph-Based Re...

Big Data Week

Music magazine questionnaire analysis

meganalicia187

Megan Webb conducted a survey of 80% females and 20% males about their music magazine preferences. The results showed that pop music was most preferred, followed by rock and indie. Q magazine was the most preferred magazine to read. For a new magazine, respondents preferred the masthead "Shuffle" and slogan "Putting the rest to shame." Most would pay £1-£1.50 and be more likely to buy a magazine with a mixed group on the cover. Interviews with artists and information about bands were the most enjoyed article types.

15 years of Shazam

Ogilvy Consulting

Last week at Ogilvy London, we were joined by Shazam, the ninth most downloaded app of all time – that's 700 million downloads globally! In this session Shazam touched on its evolution over the last 15 years covering: – Stories that use music to connect brands and customers – The platform's technology and data – The audience and the music they love/ what the audience does with that music – Trends, moods and insights into the effect music has on people, all over the world!

Viewers also liked

BDW16 London - Nondas Sourlas, Bupa - Big Data in Healthcare

Big Data Week

BDW16 London - Marius Boeru, Bigstep - How to Automate Big Data with Ansible

Big Data Week

BDW16 London - Charlie Ballard, TripAdvisor - TripAdvisor and Constant Change...

Big Data Week

BDW16 London - Vojta Rocek, Trologic - Challenging Big Data

Big Data Week

BDW16 London - Rob Anderson, MapR - Big Data and Everyday Lives

Big Data Week

BDW16 London - Roland Major, Transport for London - Cloud Search Secured

Big Data Week

BDW16 London - John Callan, Boxever - Data and Analytics - The Fuel Your Bran...

Big Data Week

BDW16 London - Amjad Zaim, Cognitro Analytics: How Deep is Your Learning

Big Data Week

BDW16 London - Mark van Rijmenam, Datafloq - Big Data is Dead, Long Live Big ...

Big Data Week

BDW16 London - Jonny Voon, Innovate UK - Smart Cities and the Buzz Word Bingo

Big Data Week

BDW16 London - Ingrid Funie, Imperial College London - Machine Learning and F...

Big Data Week

BDW16 London - Scott Krueger, skyscanner - Does More Data Mean Better Decisio...

Big Data Week

BDW16 London - Chris von Csefalvay, Helioserv - Cats and What They Tell us Ab...

Big Data Week

BDW16 London - John Belchamber, Telefonica - New Data, New Strategies, New Op...

Big Data Week

BDW16 London - Wael Elrifai, Pentaho - Big Data-Driven Innovatiom

Big Data Week

BDW16 London - William Vambenepe, Google - 3rd Generation Data Platform

Big Data Week

BDW16 London - Alex Bordei, Bigstep - Building Data Labs in the Cloud

Big Data Week

BDW16 London - Deenar Toraskar, Think Reactive - Fast Data Key to Efficient C...

Big Data Week

BDW16 London - Mishal Patel, NHS - Modernising Routine Breast Cancer Using Bi...

Big Data Week

BDW16 London - Harry Powell & Raffael Strassnig, Barclays UK - Graph-Based Re...

Big Data Week

Viewers also liked (20)