My slides from last night's Web Analytics Wednesday. In this overview I take a look at the reasons why behavioral insights, and session replays in particular, are essential for conversion rate optimisation. I hope you enjoy them.
This document summarizes Decibel Insight, a customer experience analytics tool that provides insights into user behavior on websites. It visualizes user journeys and identifies issues like abandoned shopping carts. The tool tracks mouse movements, scrolling, clicks and page loading to see what users do. It helps optimize websites, fix frustrating experiences, and justify improvements. Decibel Insight provides session replay, heatmaps, alerts and form analytics to boost conversions. It also offers consultation services to help clients use insights.
Knowing how to use Tableau doesn’t mean you'll be able to design effective dashboards. If you want to create dashboards that deliver valuable insight, perform well, and have visual impact, you'll need to apply Data Visualization Best Practices.
In this webinar, you'll learn the science behind Data Visualization Best Practices. Cognitive psychology helps us understand how the human brain perceives information in a dashboard, and we'll teach you how to use this knowledge to optimize your designs.
SEO & Artificial Intelligence: The new rules to stay on top!TheFamily
As Artificial Intelligence evolves, SEO strategies changes as well: Google has already started to implement some Artificial Intelligence tools within its algorithm, including RankBrain.
It's a challenge but also an opportunity to re-think the way we formulate SEO strategy ;)
Why is AI such a big game-changer when it comes to SEO?
How can you adapt to remain in the top results despite these changes?
Philippe Yonnet, is the general manager of Search Foresight, a fast-growing SEO Agency specialized in helping companies to define successful search and inbound marketing strategies.
Philippe has more than 10 years experience and will give all the tips you need to rock your audience ;)
This document discusses various topics related to data analytics including:
- Mobile business intelligence and how analytics on mobile devices and data from mobile sources can provide new insights.
- Crowd sourcing analytics, which utilizes public contributions over the internet to solve problems or gather insights.
- Inter- and trans-firewall analytics, which involves collaborating on insights across organizational boundaries and with external data sources.
- Information management, which organizations use to plan, collect, organize, use, store, disseminate, dispose of, exploit, and ensure information is used efficiently.
Quantifying Customer Experience - Presented at Customer Experience Design 2013clarityrules
This document discusses the evolution of customer analytics from Eras 1.0 to 4.0. Era 1.0 focused on internal metrics by business unit. Era 2.0 adopted a customer point of view and used metrics like NPS. Era 3.0 linked metrics like NPS to business outcomes. Era 4.0 uses advanced analytics and topological data analysis to generate insights without predefined questions, allowing unexpected discoveries. The document advocates moving from basic reporting to exploring data interactively to generate insights that improve customer experience and business performance.
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
“KEY CONSIDERATIONS FOR DEEP ANALYTICS ON BIG DATA FOR DEEP LEARNING”
What is Big Data? Big Data, which means many things to many people, is not a new technological fad. In addition to providing innovative solutions and operational insights to enduring challenges and opportunuties, big data with deep analytics instigate new ways to transform processes, organizations, entire industries, and even society all together. Pushing the boundaries of deep data analytics uncovers new.
Big Data is not just “big.” The exponentially growing volume of the data is only one of many characteristics that are often associated with Big Data, such as variety, velocity, veracity and others (6Vs).
By now, we should already have knowledge and experience to have successful data and analytics enabled decision support systems. So why do these projects still fail, and why are executives and users are still so unhappy? While there are many reasons for this high failure rate, the biggest is that companies still treat these projects as just another IT project. Big data analytics is neither a product nor a computer system. It is, rather, a constantly evolving strategy, vision and architecture that continuously seek to align an organization’s operations and direction with its strategic business goals with strategic, tactical and operational decisions.
This document summarizes Decibel Insight, a customer experience analytics tool that provides insights into user behavior on websites. It visualizes user journeys and identifies issues like abandoned shopping carts. The tool tracks mouse movements, scrolling, clicks and page loading to see what users do. It helps optimize websites, fix frustrating experiences, and justify improvements. Decibel Insight provides session replay, heatmaps, alerts and form analytics to boost conversions. It also offers consultation services to help clients use insights.
Knowing how to use Tableau doesn’t mean you'll be able to design effective dashboards. If you want to create dashboards that deliver valuable insight, perform well, and have visual impact, you'll need to apply Data Visualization Best Practices.
In this webinar, you'll learn the science behind Data Visualization Best Practices. Cognitive psychology helps us understand how the human brain perceives information in a dashboard, and we'll teach you how to use this knowledge to optimize your designs.
SEO & Artificial Intelligence: The new rules to stay on top!TheFamily
As Artificial Intelligence evolves, SEO strategies changes as well: Google has already started to implement some Artificial Intelligence tools within its algorithm, including RankBrain.
It's a challenge but also an opportunity to re-think the way we formulate SEO strategy ;)
Why is AI such a big game-changer when it comes to SEO?
How can you adapt to remain in the top results despite these changes?
Philippe Yonnet, is the general manager of Search Foresight, a fast-growing SEO Agency specialized in helping companies to define successful search and inbound marketing strategies.
Philippe has more than 10 years experience and will give all the tips you need to rock your audience ;)
This document discusses various topics related to data analytics including:
- Mobile business intelligence and how analytics on mobile devices and data from mobile sources can provide new insights.
- Crowd sourcing analytics, which utilizes public contributions over the internet to solve problems or gather insights.
- Inter- and trans-firewall analytics, which involves collaborating on insights across organizational boundaries and with external data sources.
- Information management, which organizations use to plan, collect, organize, use, store, disseminate, dispose of, exploit, and ensure information is used efficiently.
Quantifying Customer Experience - Presented at Customer Experience Design 2013clarityrules
This document discusses the evolution of customer analytics from Eras 1.0 to 4.0. Era 1.0 focused on internal metrics by business unit. Era 2.0 adopted a customer point of view and used metrics like NPS. Era 3.0 linked metrics like NPS to business outcomes. Era 4.0 uses advanced analytics and topological data analysis to generate insights without predefined questions, allowing unexpected discoveries. The document advocates moving from basic reporting to exploring data interactively to generate insights that improve customer experience and business performance.
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
“KEY CONSIDERATIONS FOR DEEP ANALYTICS ON BIG DATA FOR DEEP LEARNING”
What is Big Data? Big Data, which means many things to many people, is not a new technological fad. In addition to providing innovative solutions and operational insights to enduring challenges and opportunuties, big data with deep analytics instigate new ways to transform processes, organizations, entire industries, and even society all together. Pushing the boundaries of deep data analytics uncovers new.
Big Data is not just “big.” The exponentially growing volume of the data is only one of many characteristics that are often associated with Big Data, such as variety, velocity, veracity and others (6Vs).
By now, we should already have knowledge and experience to have successful data and analytics enabled decision support systems. So why do these projects still fail, and why are executives and users are still so unhappy? While there are many reasons for this high failure rate, the biggest is that companies still treat these projects as just another IT project. Big data analytics is neither a product nor a computer system. It is, rather, a constantly evolving strategy, vision and architecture that continuously seek to align an organization’s operations and direction with its strategic business goals with strategic, tactical and operational decisions.
This document provides a summary of the July/August 2014 issue of the magazine Analytics. The summary includes:
- Key articles in the issue discuss real-time text analytics using social media data, why analytics projects fail, the bright job prospects for data scientists, how IBM has used analytics for transformation, and forecasts of popular analytics software.
- Short descriptions and headlines are provided for additional sections and departments in the magazine including executive interviews, columns on healthcare and other analytics topics, and previews of upcoming analytics conferences.
- Information is given about the magazine's publisher and editorial board. The magazine is published by INFORMS to support the analytics profession and drive better business decisions.
Predictive Modeling & Data-Driven Product Insights at LinkedIn - Scott Nichol...Scott Nicholson
This document discusses how LinkedIn uses data to build products that improve the user experience and provide insights. It notes that LinkedIn has over 150 million professional profiles that can be used to derive actionable insights about predictive user engagement and develop new products. The goal is to leverage big data to help users make better decisions through these products and insights.
Digital Analytics Checkup: How to evaluate the impact of your web analytics dataCrossView
In our world of “Big Data” and “Omni-Channel Marketing”, how does a successful enterprise evaluate its website analytics data? Traffic may be up, but if it’s not converting, is there something amiss in the traffic, or is it your data integrity? And with the explosion of mobile and social as marketing channels, are your analytics properly integrated?
It could be time for a digital analytics check-up.
In this webcast, Jim Sterne, Founder of eMetrics Summit and Digital Analytics Association and Jenny Elliott of CrossView, explore which marketing metrics are essential, and how marketers can understand and use this data to maximize return. Find out what you need to measure to better attract, convert, and retain valuable customers.
Fantastic Problems and Where to Find Them: Daryl WeirFuturice
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emerging expotenial technology Initially, Industrial revolution was regarded as alterations in the way. labourer works. * then, centralised on steam and mechanisation.
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Digital technologies have connected many devices and led to new forms of data collection. While some companies collect large amounts of customer data from sources like loyalty programs, this can still provide only a shallow understanding if not combined with other data sources. Deeper insights come from integrating diverse data types, like images, social media, and location information, to better understand customer behaviors and predict future trends. Companies should aim to make their data and analytics efforts "mile wider and inch deep" by utilizing multiple data sources for more robust and comprehensive analysis.
Data and Analytics are all the rage these days and the appeal to use data to inform comms strategy is coming from all sides. You're collecting data everywhere. In your CRM, in your offline database, from your direct mail programs, from your social media, your events, etc. Perhaps you're even doing data appends from outside sources. You’re swimming in data! However, data in and of itself is useless. How do you get to a place where you’re able to transform your data into something meaningful?
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In this session, Ozlo’s Principal Engineering Lead Heidi Young, who has lived and breathed search for more than 10 years, will discuss how the success of AI-driven assistants – and their ability to enhance our lives – depends on a specific satisfaction metric. By breaking down human-to-computer interactions and focusing on immediate feedback loops (micro-level metrics) instead of solely on lagging indicators (macro-level metrics), satisfaction is more effectively measured. This type of engagement is a game-changer is measuring satisfaction and indicating happiness. It should be a top priority of AI architects, since users who have positively ending conversations come back. This is the key to the new personal AI assistant revolution.
This document discusses personalization and how it can be improved by putting people at the center. It notes that personalization is approached differently in marketing, engineering, and design. It reviews relevant areas like human-computer interaction, algorithmic living, and various disciplines that can inform personalization like social sciences, machine learning, and data sciences. It advocates designing systems with an awareness of data and collecting data with an awareness of its design rationale and purpose. It also discusses personalizing search outcomes, recommendations, and consumption experiences while considering both process and outcomes as well as moving beyond a generic view of consumers.
The document discusses dashboard design and best practices. It outlines three key elements of effective dashboards: visual display on a single page or screen with the most important information. Dashboards should present carefully selected metrics in a clear visual format like bar graphs, line graphs or bullet graphs to show comparisons over time. Creation of dashboards should have a clear goal, focus on key metrics and continuously improve based on feedback.
Machine learning at b.e.s.t. summer universityLászló Kovács
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Francesco Gadaleta, Chief Data Officer at Abe AI, explains the differences between data science and artificial intelligence as we know it today. Learn more about why we're excited about the current breakthroughs in AI and why it's different to what's happened in the past.
Check out the full blog post: http://bit.ly/2g6cWXq
- Search engines currently struggle with queries where recall is more important than precision, such as exploratory search questions where the user wants to find all relevant information.
- Endeca develops software to help users explore and understand complex information through an approach called "guided summarization" which aims to improve communication between the user and system.
- Guided summarization presents search results to users in contextual summaries and offers options for refinement, aiming to cheat the typical recall vs. precision trade-off by facilitating an interactive dialog between the user and data.
- In the last decade, artificial intelligence (AI) and machine learning have gained significant attention in computer science and across different domains like finance, medicine, law, and administration.
- For AI systems to function like humans, they must be imparted with knowledge. Two important aspects of AI systems are knowledge acquisition and knowledge representation. Early systems acquired knowledge from human experts, but experts are not always available or consistent.
- Modern AI systems acquire knowledge from data using machine learning techniques. With the abundance of electronic data from various sources, knowledge can be extracted from data and represented in ways that enable computers to interpret it without human intervention.
The document discusses the evolution of analytics from descriptive and predictive to cognitive intelligence. It describes how companies can integrate systems of record, engagement, and insight to generate real-time actionable insights. The talk argues that mobile technologies and advanced analytics enable companies to become more responsive "individual enterprises".
Building Stronger HR Partnerships Through Talent AnalyticsHuman Capital Media
This document provides information about an online webinar on building stronger HR partnerships through talent analytics. The webinar will feature a presentation by Alexis Fink from Intel on talent analytics and how data can be used to improve HR decision making. Attendees will be able to listen through their computer speakers, view slides, participate in a live chat, and ask questions. The webinar is sponsored by Workforce magazine and is certified for continuing education credits by HRCI.
In February 2012 Annika Naschitzki presented to both Wellington and Auckland audiences about Optimal Usability's new eye tracker, and what it can do. Here is the presentation, however if you would like Anni to come into your organisation to do the presentation please get in touch: anni@optimalusability.com
Discover the benefits of outsourcing SEO to Indiadavidjhones387
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- Key articles in the issue discuss real-time text analytics using social media data, why analytics projects fail, the bright job prospects for data scientists, how IBM has used analytics for transformation, and forecasts of popular analytics software.
- Short descriptions and headlines are provided for additional sections and departments in the magazine including executive interviews, columns on healthcare and other analytics topics, and previews of upcoming analytics conferences.
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emerging expotenial technology Initially, Industrial revolution was regarded as alterations in the way. labourer works. * then, centralised on steam and mechanisation.
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Data and Analytics are all the rage these days and the appeal to use data to inform comms strategy is coming from all sides. You're collecting data everywhere. In your CRM, in your offline database, from your direct mail programs, from your social media, your events, etc. Perhaps you're even doing data appends from outside sources. You’re swimming in data! However, data in and of itself is useless. How do you get to a place where you’re able to transform your data into something meaningful?
Artificial intelligence and conversational search are having their big moment right now, and it’s easy to see why. Its relevant to all of us. Its potential to enhance our daily lives is the foundation of its widespread adoption…but measuring our satisfaction correctly *in the moment* is the key to its ultimate success – or failure. The future of search lies in the ability of conversational UI to make human-to-computer interactions correct, relevant and useful. The satisfaction metric is the key to moving search ahead, making personal AI assistants essential sidekicks in everyday life. The more our personal AIs “get” us, the more we want to talk with them.
In this session, Ozlo’s Principal Engineering Lead Heidi Young, who has lived and breathed search for more than 10 years, will discuss how the success of AI-driven assistants – and their ability to enhance our lives – depends on a specific satisfaction metric. By breaking down human-to-computer interactions and focusing on immediate feedback loops (micro-level metrics) instead of solely on lagging indicators (macro-level metrics), satisfaction is more effectively measured. This type of engagement is a game-changer is measuring satisfaction and indicating happiness. It should be a top priority of AI architects, since users who have positively ending conversations come back. This is the key to the new personal AI assistant revolution.
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2. 60,000
times faster
(source - http://www.billiondollargraphics.com/infographics.html)
The brain processes visual information
than text or numbers
3. There’s a field, with white buildings and trees
around the perimeter. In the background you
can see some children playing football. In the
foreground there is a small yellow dog, sat on
his haunches, wearing a yellow vest. He’s sat
in the middle of a set of children’s football
goalposts, made out of white plastic. He looks
alert. From the left, a human hand emerges
holding a miniature football. The hand throws
the ball and the dog catches it enthusiastically.
So it’s hard to
process blocks of
text like this…
4. But it’s easy to process
visual information like this
5. Short Normal Full Length Yorker
B W B W B W B W
OO 0 0 7 0 0 0 1 0
Off 19 0 10 3 4 1 3 0
Mid 15 0 15 1 4 0 3 0
Leg 2 0 5 0 0 0 1 0
OL 0 0 3 0 2 0 2 0
It’s the same for numbers.
Take this cricket data…
Without expert knowledge
it’s hard to make sense of.
6. This is the same data
presented in a visual
way, using a heatmap.
The story becomes more
clear.
Frequently bowling here
Blue crosses mean wickets –
this is good
7. My advice would be
simple – bowl more
here.
Bowl less here
Bowl more here
9. We’re missing evidence of the user
and their perspective – what website
did they receive? How did they
interact with it? What kind of
experience did they have?
12. Decibel Insight is a set of tools
designed to show you the digital
customer experience for yourself
- Session replay
- Heatmaps
- Form analytics
- Funnels
- Audience segmentation
- Analytics & testing integrated
- Works across devices
- Hybrid-app compatible
- Enterprise setup
- ISO 27001 security
14. What it Enhances
Analytics
Investigate anomalies
AB/MV Testing
Inform & evaluate testing
Voice of Customer
Understand feedback
Personalization
Analyze impact
15. Replay Example Use Cases
- Users were seeking information
- Struggled to interact with the pages
- Found circular navigation
- Found broken interactivity
Utilities company – discovered issues with their contact us page
causing users to get frustrated.
- User asked for email twice
- Error messaging missing
- Struggle to complete purchase
- Simple fix to form
Clothing retailer spotted challenges with new account setup:
- Unresponsive buttons
- Broken menu expansion
- Visitor clicks multiple times
- Clear frustration expressed!
Electronics retailer found broken mobile functionality that was
spoiling user experience:
16. “An ounce of real life is worth
a pound of theoretical debate”
Emily Franson
Director of Web Marketing
Novell
Forget about guesswork, speculation
and gut instinct. They’re the enemy of
good site optimisation.
17. Get a fresh perspective
Phil Haslehurst
@decibelphil
This is me. Drop me a
line and follow me on
Twitter – and let me
know if you’d like more
information about this
presentation.
Did you know that the human brain processes visual information about 60,000 times faster than it processes what it reads in text or numbers?
That’s what makes it quite difficult to quickly make sense of this written description of a sequence of events.
But enables you to quickly understand what’s happening when you actually see that event happening for yourself. Our brains are just better designed to handle the visual, than to parse nuanced meaning from text and numbers.
That was an example with some words that were tough to decipher. How about some numbers? Take a look at this set of numbers from a cricket match. The figures are describing a bowlers bowling. It’s quite difficult to really get the story of the data here, unless you’re really into cricket, or have the time and inclination to really delve into the figures.
When we present the data in a different, more visual way, it becomes easier to understand. Here I’ve made a heatmap that shows the frequency with which the bowler bowled the ball in certain areas – the hotter the area, the more often the ball landed there. We’ve also got the blue crosses, which show the deliveries that actually led to wickets.
I’m not a cricket coach, but if I was to offer this bowler some advice, it might be to focus his bowling in this area, where he’s having more success, rather than in the areas where he’s wasting effort.
You can draw similar parallels with web analytics and conversion rate optimization. Trying to use web analytics alone to see how to improve your website can be really difficult. You can be the smartest mathematician in the world with a great eye for data, but it’s still very difficult to use the sets of figures and charts found in web analytics tools to get all the information that you need to make improvements to your website.
What’s missing is the ability to see evidence of real user behavior. We know the website we send to them, but we don’t know what they receive, how they’ve interacted with it, the technical aspects of their experience and the user’s perspective.
When you put behavioural insights into the optimization process it becomes far easier to make good business decisions.
In short, we’re looking for deeper understanding of the digital customer experience. What the visitor saw, what the visitor did, and the result of their journey.
Decibel Insight enables you to actually see the digital customer experience for yourself, with your own eyes, through heatmaps, session replay, form analytics and more. These tools are here to help you understand why a user or group of users behaved in a certain way. What’s more, this stuff is easier to understand if you’re not a genius at web analytics, which opens up the CRO process to a wider audience – it’s compelling and easier to action than denser, harder-to-interpret sets of data.
There are a wide array of use cases – our clients use our software to watch back user journeys, spot friction and frustration, find ways to improve their website layouts, copy and architecture. They use the insights gleaned from our software to inform split tests and personalisation.
It has wider-reaching possibilities than just enhancing web analytics. Our software is designed to give you a full view of the customer experience: help you create better hypotheses for your testing programmes, get wider context around the feedback you get through VOC tools, and understand the impact on user behavior that personalisation has.
I hope you can see from those few examples that this isn’t just fluffy stuff. By building audience segments and honing in on relevant groups of visitors it’s easy to find lots of actionable insight from session replays. And I’ve not even touched on other stuff like heatmaps, funnel reports, form analytics. Each of those adds another layer of depth to things.
Our client, Emily at Novell, put it nicely when she said that “an ounce of real life is worth a pound of theoretical debate”. By building an evidence-based approach to CRO, you can achieve far better results. The findings that Novell have made through customer experience insights have led directly to improvements that have increased revenue for the business. What’s more, the insights they’ve gathered are being used at board level to get senior people in the business excited about innovation in customer experience and the possibilities this creates for them.
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