The document discusses multi-channel analytics and metrics. It provides an overview of Datalicious, a company that offers data services including data collection, analytics, insights, and campaigns. The workshop covers metrics frameworks, media attribution, channel integration, and re-marketing. Standardized roll-up metrics are proposed to measure people reached, engaged, converted, and delighted across marketing channels. Context is important when interpreting metrics like providing details on the type of campaign or customers.
Eliminate the use of inaccurate ‘last click’ attribution with OptimaHub MediaAttribution. Advertisers can use this tool to get an accurate marketing ROI across all channels and to optimise media spend accordingly.
Multi-Channel Marketing and Analytics: Measuring and Optimising Your Marketi...Datalicious
Christian Bartens delivered a presentation on Multi-Channel Marketing and Analytics: Measuring and Optimising Your Marketing Effectiveness to an enrapt audience at the Marcus Evans Path to Purchase conference in Shanghai.
One of the crucial trends nowadays will be the growth of attribution modeling. However, many savvy marketers are still missing the opportunity to reap the benefits of attribution modeling, hence this whitepaper is aimed at providing a comprehensive overview of what marketing attribution is all about.
In this webinar you’ll learn how to makes sense of attribution data outputs and to use those insights to achieve your goals, including insights on:
- Generate reports and extrapolate insights
- Identify typical actions associated with common insights
- Leverage optimization to improve cross-channel performance
This presentation is from Performance Marketing Summit (May 18, 2015 in Boca Raton, FL). Session description: Marketers need the right tools for precise attribution. I will cover some of these platform insights, strategies to further understand channel effectiveness, and tools to optimize campaign management.
Bridge the Marketing Divide: Combining Cross-Channel Attribution with Data On...Adometry by Google
Marketers are migrating to digital channels en masse. According to a recent eMarketer study, U.S. e-commerce sales will total $259 billion in 2013 - a 14.8% annual increase over 2012's $225.5 billion.
But there's a missing link. When consumers research products online, the majority of purchases take place offline, either over a phone or in a store. Forrester Research, Yahoo, and comScore all reach the same conclusion: As much as 92% of purchases take place offline following online consumer activity, while most digital marketers target online conversions only.
Targeting isn't about clicks, it's about sales, and 92% is a large percentage of missing data!
Connecting the Dots Between Online Media and Offline PurchasesAdometry by Google
Adometry CMO Casey Carey delivered this presentation at the 2013 iMedia Brand Summit in a session titled "Connecting the Dots Between Online Media and Offline Purchases".
Eliminate the use of inaccurate ‘last click’ attribution with OptimaHub MediaAttribution. Advertisers can use this tool to get an accurate marketing ROI across all channels and to optimise media spend accordingly.
Multi-Channel Marketing and Analytics: Measuring and Optimising Your Marketi...Datalicious
Christian Bartens delivered a presentation on Multi-Channel Marketing and Analytics: Measuring and Optimising Your Marketing Effectiveness to an enrapt audience at the Marcus Evans Path to Purchase conference in Shanghai.
One of the crucial trends nowadays will be the growth of attribution modeling. However, many savvy marketers are still missing the opportunity to reap the benefits of attribution modeling, hence this whitepaper is aimed at providing a comprehensive overview of what marketing attribution is all about.
In this webinar you’ll learn how to makes sense of attribution data outputs and to use those insights to achieve your goals, including insights on:
- Generate reports and extrapolate insights
- Identify typical actions associated with common insights
- Leverage optimization to improve cross-channel performance
This presentation is from Performance Marketing Summit (May 18, 2015 in Boca Raton, FL). Session description: Marketers need the right tools for precise attribution. I will cover some of these platform insights, strategies to further understand channel effectiveness, and tools to optimize campaign management.
Bridge the Marketing Divide: Combining Cross-Channel Attribution with Data On...Adometry by Google
Marketers are migrating to digital channels en masse. According to a recent eMarketer study, U.S. e-commerce sales will total $259 billion in 2013 - a 14.8% annual increase over 2012's $225.5 billion.
But there's a missing link. When consumers research products online, the majority of purchases take place offline, either over a phone or in a store. Forrester Research, Yahoo, and comScore all reach the same conclusion: As much as 92% of purchases take place offline following online consumer activity, while most digital marketers target online conversions only.
Targeting isn't about clicks, it's about sales, and 92% is a large percentage of missing data!
Connecting the Dots Between Online Media and Offline PurchasesAdometry by Google
Adometry CMO Casey Carey delivered this presentation at the 2013 iMedia Brand Summit in a session titled "Connecting the Dots Between Online Media and Offline Purchases".
The Harvest Digital Guide to Attribution ModellingMike Teasdale
Balancing spend and developing strategy across channels like paid and organic search, display and social is one of the biggest challenges in digital marketing.
In the real world, attribution modelling often boils down to choosing a model and seeing whether we like the results it gives. But this is hardly scientific. So what would a data-driven process to defining and assessing a cross-channel attribution model look like?
Digital marketing ROI - An introduction to attribution modellingDifferent Spin
To help you get started in the potentially daunting realm of attribution modelling, we’ve crafted this whitepaper to explore what it is and how you can implement it for your business. We go through some of the most common attribution models and help define which of these is likely to be the best starting point for you.
Webinar: Survival Analysis for Marketing Attribution - July 17, 2013Revolution Analytics
A central question in advertising is how to measure the effectiveness of different ad campaigns. In online advertising, including social media, it is possible to create thousands of different variations on an ad, and serve millions of impressions to targeted audiences each day. Rather too often, digital advertisers use the last click attribution model to evaluate the success of campaigns. In other words, when a user clicks on an ad impression, only the very last event is deemed as significant. This is convenient but doesn't help in making good marketing decisions.
Survival analysis is widely used in the modeling of living organisms and time to failure of components, but Chandler-Pepelnjak (2010) proposed to use survival analysis for marketing attribution analysis. Listen to our webinar to learn more about this theory and a big data case study, showing how DataSong used Revolution Analytics.
ProgrammatiCon 2017 - The Future of Facebook Ads - Peter Podolinsky, ROI Huntere-dialog GmbH
Facebook performance marketing is constantly evolving and multi-channel retailers often struggle to expose the right message, to the right people at the right time. On top of this, Facebook innovates so quickly, that it's harder and harder to catch up with all the options that you as a marketer have. Therefore, you might need a bit of expert help. Facebook Marketing Partner, ROI HUNTER, will show you how your offline transactional data and your data from sources other than Facebook, can help to optimize Facebook campaigns for better performance.
Grow Revenue with the Right Marketing StrategyMarketo
Today, mobile, social and cloud technologies are transforming the customer experience and putting customers in control. In this digital age, marketers must always be improving marketing execution with an eye toward growing revenue.
Listen in to our webinar with guest Laura Ramos, Vice President and Principal Analyst at Forrester Research, and Matt Zilli, Senior Director of Product Marketing at Marketo, to discover why the next wave of competitive advantage will favor firms that obsess over their customers’ experiences and deliver what buyers want before competitors do. Learn how marketing strategies that leverage automation can transform the customer experience and grow revenue in the digital age.
Operational Attribution with Google AnalyticsJonathan Breton
Multi-channel Attribution Modeling isn't necessary complex to implement.
Find here a framework and a methodology to start moving away from last-click vision
Beyond The Forecast: Forecasters of Feeling, Influencers of BehaviorEnsighten
Amy Dowsek, Director, The Weather Company
Weather impacts consumer decision making in many ways. At the core, weather drives your mood, your actions and and what you purchase. The Weather Company is helping marketers understand this impact and provide tools to activate dynamically across all media channels.
2016 Place Conf: O2O - Online to Offline and Back AgainLocalogy
How are location and offline data being monetized? This session will explore that question and how Mastercard transaction data help Chegg do more effective online targeting and retargeting.
In this presentation, Andrew Covato talks about the uses of attribution modelling and Big Data within a large company like Google. Covato introduces himself and talks about his own working background before going on to talk about the ins and outs of marketing and digital marketing. As well as giving insight into attribution modelling with his experience.
Organisations that thrive are putting their customers in the driving seat, delivering greater value and ensuring an easy, delightful customer experience, leading to an expanding and loyal customer base and improved, continuous profits.
The State of Marketing Automation Trends 2014 Marketo
Did you know that 91% of buyers are evaluating marketing automation for the first time? Finding the software is tough when you're new to automation. That’s why we teamed up with Software Advice to speak to hundreds of companies, determining what drives organizations to purchase these systems. Check out these slides for key (and surprising!) facts.
The Harvest Digital Guide to Attribution ModellingMike Teasdale
Balancing spend and developing strategy across channels like paid and organic search, display and social is one of the biggest challenges in digital marketing.
In the real world, attribution modelling often boils down to choosing a model and seeing whether we like the results it gives. But this is hardly scientific. So what would a data-driven process to defining and assessing a cross-channel attribution model look like?
Digital marketing ROI - An introduction to attribution modellingDifferent Spin
To help you get started in the potentially daunting realm of attribution modelling, we’ve crafted this whitepaper to explore what it is and how you can implement it for your business. We go through some of the most common attribution models and help define which of these is likely to be the best starting point for you.
Webinar: Survival Analysis for Marketing Attribution - July 17, 2013Revolution Analytics
A central question in advertising is how to measure the effectiveness of different ad campaigns. In online advertising, including social media, it is possible to create thousands of different variations on an ad, and serve millions of impressions to targeted audiences each day. Rather too often, digital advertisers use the last click attribution model to evaluate the success of campaigns. In other words, when a user clicks on an ad impression, only the very last event is deemed as significant. This is convenient but doesn't help in making good marketing decisions.
Survival analysis is widely used in the modeling of living organisms and time to failure of components, but Chandler-Pepelnjak (2010) proposed to use survival analysis for marketing attribution analysis. Listen to our webinar to learn more about this theory and a big data case study, showing how DataSong used Revolution Analytics.
ProgrammatiCon 2017 - The Future of Facebook Ads - Peter Podolinsky, ROI Huntere-dialog GmbH
Facebook performance marketing is constantly evolving and multi-channel retailers often struggle to expose the right message, to the right people at the right time. On top of this, Facebook innovates so quickly, that it's harder and harder to catch up with all the options that you as a marketer have. Therefore, you might need a bit of expert help. Facebook Marketing Partner, ROI HUNTER, will show you how your offline transactional data and your data from sources other than Facebook, can help to optimize Facebook campaigns for better performance.
Grow Revenue with the Right Marketing StrategyMarketo
Today, mobile, social and cloud technologies are transforming the customer experience and putting customers in control. In this digital age, marketers must always be improving marketing execution with an eye toward growing revenue.
Listen in to our webinar with guest Laura Ramos, Vice President and Principal Analyst at Forrester Research, and Matt Zilli, Senior Director of Product Marketing at Marketo, to discover why the next wave of competitive advantage will favor firms that obsess over their customers’ experiences and deliver what buyers want before competitors do. Learn how marketing strategies that leverage automation can transform the customer experience and grow revenue in the digital age.
Operational Attribution with Google AnalyticsJonathan Breton
Multi-channel Attribution Modeling isn't necessary complex to implement.
Find here a framework and a methodology to start moving away from last-click vision
Beyond The Forecast: Forecasters of Feeling, Influencers of BehaviorEnsighten
Amy Dowsek, Director, The Weather Company
Weather impacts consumer decision making in many ways. At the core, weather drives your mood, your actions and and what you purchase. The Weather Company is helping marketers understand this impact and provide tools to activate dynamically across all media channels.
2016 Place Conf: O2O - Online to Offline and Back AgainLocalogy
How are location and offline data being monetized? This session will explore that question and how Mastercard transaction data help Chegg do more effective online targeting and retargeting.
In this presentation, Andrew Covato talks about the uses of attribution modelling and Big Data within a large company like Google. Covato introduces himself and talks about his own working background before going on to talk about the ins and outs of marketing and digital marketing. As well as giving insight into attribution modelling with his experience.
Organisations that thrive are putting their customers in the driving seat, delivering greater value and ensuring an easy, delightful customer experience, leading to an expanding and loyal customer base and improved, continuous profits.
The State of Marketing Automation Trends 2014 Marketo
Did you know that 91% of buyers are evaluating marketing automation for the first time? Finding the software is tough when you're new to automation. That’s why we teamed up with Software Advice to speak to hundreds of companies, determining what drives organizations to purchase these systems. Check out these slides for key (and surprising!) facts.
Smart Tag Management and Data Drive Online MarketingDatalicious
Smart Tag Management and Data Drive Online Marketing.
How Datalicious works with Inivio and Veda to combine key data sources for a total market view, and build actionable insights for smart data driven marketing.
Customer Engagement Platform: Smarter Marketing for Better ResultsMarketo
Marketo's Senior Product Marketing Manager, Brian Glover, reviews the concept of smarter marketing for better results with Marketo's Customer Engagement Platform.
At Datalicious, we don’t just pick a model. We calculate a custom weighted model for every client based on their own data using regression analysis. By tracking all paths, successful and unsuccessful ones, and comparing the two, we can determine whether one channel is more likely to influence conversions over another. And this can make a huge difference in your investment return.
What you end up with is a media attribution model that is more accurate and flexible than any out of the box media attribution model could ever hope for.
Whilst we’ve only touched on a few of the pitfalls of using a simplified, out of the box attribution model, below are 10 pitfalls you can avoid by choosing to customise your media attribution.
Digital Monitoring & Reporting
Monitoring conversation, opinion, issue and campaign on Digital Channel.
Providing the Report and simple analysis for the evaluation and planning.
Getting the insight from audience
Digital Maintenance &
Engagement
Develop & Managing the campaign on digital Channel.
Building the awareness and engagement with the target audience.
Supporting the brand for 360 brands campaign
Path to Purchase Attribution for the Automotive SectorDatalicious
Datalicious has developed a methodology to combine online media attribution (MA) with traditional media mix modelling (MMM) to address the inefficiencies of marketers working with two ROI measurements.
This can be particularly challenge in automotive marketing where aligning dealer marketing performance with central brand marketing performance is often not possible.
Datalicious' unique approach is to combine the best elements of MA and MMM to create a unified ROI currency that allows granular planning and forecasting across all online and offline channels in one central platform.
The biggest benefit for automotive companies is that our approach can unify dealer marketing activities and performance with central brand activities and performance to create one common ROI measurement.
Datalicious Econsultancy Whitepaper: State of Marketing Attribution in Asia P...Datalicious
Download the whitepaper here: http://data.li/1N6zuO8
Custom modelling is the most effective form of media attribution among Asia Pacific (APAC) marketers. That’s according to a new study from Econsultancy and Datalicious on the state of media attribution across APAC.
Attribution success in a cross-device world | SMX Sydney 2015Datalicious
With mobile search volume expected to exceed desktop this year, marketers are facing new challenges in understanding how and if their campaigns are succeeding. Google, Microsoft, Facebook and others all have various approaches for measuring and reporting cross-device impact. In his SMX Sydney presentation, Christian Bartens looked in-depth at how marketers are approaching new data that's now available, including Google's estimated total conversions reporting, proper modelling and tagging for better cross-device attribution.
Destroying Data Silos Through Advanced Customer Analytics And OptimaHubDatalicious
Mat Hauck presented at Forrester's Forum for Marketing Leaders in New York City on customer data silos, how they impact revenue and customer service, and overcoming these challenges with the OptimaHub.
SuperTag is an industry leading free signup tag management platform that works to simplify data collection and improve marketing strategy. Users can setup, test and deploy site tags through a single management system without needing to know Javascript.
By using SuperTag, you can simplify your tag management, increase website performance, widen the conversion funnel and improve your digital marketing effectiveness.
Real-time Single Customer View
Create a single customer view of your prospects and customers with data from your website, mobile apps, social and phone calls. Use the out of the box dashboards to generate advanced and actionable insights based on your customer data.
Datalicious Google Analytics Premium Reseller InformationDatalicious
Datalicious is now a Google Analytics Premium reseller. If you're looking for a premium analytics solutions, talk to Datalicious about Google Analytics Premium.
Has technology killed privacy? Consumer tracking and targeting technologies, especially in digital, always seem to be a few years ahead of the law which seems to create an ongoing legal grey-zone. What are these technological advances, how could they impact privacy and what should companies do about this trend?
How to boost your cross-channel advertising effectiveness through advanced ta...Datalicious
To dramatically increase your ROI and make your cross-channel advertising dollars really count, then you need to look at advanced targeting. At the recent ADMA Data Day event held in Melbourne and Sydney in May 2013, Datalicious Managing Director, Christian Bartens, gave this presentation on the topic.
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.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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).
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/