Presentation given March 11th at SMX West. The session topic was Fast & Easy PPC Analytics. My presentation included a framework for effective reporting, and specific methodologies for Search Query Analysis & Landing Page Audits.
Measuring What Matters - Building Valuable, Effective & Efficient ReportingRick Galan
The talking points to the presentation are on the Notes tab.
This presentation was given at the Salt Lake City Search Engine Marketing Digital Marketing Conference (#slcsem) in August 2015. In it, I don't talk about KPIs, or the specific metrics that you should be measuring. Instead, I focus on what I have found to be really important - Building reporting that you can use, and building relationships so your reporting has value. I also discuss how building a report is like building a product. Then I finish off with some quick tips on making your reports better.
Product Deep Dive: Getting the Most out of Scout ReportsScout RFP
Data is everywhere, but what sets Scout customers apart is that they know what to do with it. Through Scout
Reports, you can unlock the ability to understand, inform, and support your recommendations to the
business with defensible data and produce a hard-hitting impact to the bottom line. And you’ll help your
team become more data-aware in the process.
A short, 1-hour, introduction to the theory of Kanban. I cover the following points:
• Quick history of Kanban
• 2 meanings of Kanban
• Kanban principles
• Kanban practices
• Example Kanban boards
Designed for the advanced Google Analytics (GA) guru, Frank Klassen, CEO of Brightfind presented PersoniFest 2018 attendees with a deep-dive into using GA to go beyond basic web page tracking. Participants learned how to use advanced Google Tag Manager (GTM) functionality to truly understand the journey their constituents have across their websites. They discovered how Personify customers are tracking this data to pinpoint where to make improvements in order to enhance digital experiences and to increase transactions and conversions.
Three baseline metrics & what they can tell you about your team.Mike Burns
Originally presented at Agile Australia 2017.
Associated blog post - https://www.linkedin.com/pulse/three-baseline-metrics-what-can-tell-you-your-team-mike-burns
Discover how to tailor your metrics to suit you. This guide outlines which metrics a team can start using today to help improve team performance, and allow for the right decisions to be made at the right time.
By looking at cycle time, throughput, and work item size, we discuss what they reveal about a team; how they can be used to make improvements; and how to ensure metrics are used as conversation starters rather than a ‘dreaded monthly report’.
We can also use metrics to help us learn from our experiments. By using the right measures and metrics we can get real data and, more importantly, information that helps us to make the right decisions at the right time.
Reporting is the most important client communication after onboarding. It is an integral part of SEM and this is where you show the return on investment (ROI) to your clients and justify your digital budget. Good reporting is crucial to your success as a search engine marketer.
When it comes to Adwords, there is an endless supply of data and it can be a little dauting to process and present all that data in excel sheets!
Preparing Google Adwords reports in excel is exhausting and time consuming. Account Managers spend almost 1/3 of their time preparing excel reports for their clients. This is an insane waste of time, when all of this can be automated. As an account manager your core value addition is account optimization and not excel reporting!
Automation without compromising on client customization https://reportgarden.com/ offers a beautiful solution to this problem in 3 simple steps:
1. Select a default reporting template
2. Customize your reports using the simple drag and drop editor. Add all the metrics you want.
3. Schedule the report to be automatically to your clients
This is a sample ReportGarden Google AdWords Report.
The ability to customize and build your own reports allows marketers to gain truly valuable insights from the tool + this is huge time saver.
Key sections to included in a Google AdWords Report include:
1. Adwords Performance Overview
2. Click Performance
3. Geographic Performance
4. Region Wise Performance
5. City Wise Performance
6. Network Performance
7. Impression Share Report
8. Conversion Performance
9. Campaign Performance
10. Ad Group Performance
11. Text Ad Performance
12. Display Ad Performance
13. Keyword Performance
14 Search Queries
15. Recommendations
Visit: https://reportgarden.com/adwords-reporting-tool/ for more information on Adwords Reports.
You’re on your way to becoming a high-performance government. You’ve worked hard to accurately collect your assets and track your work—but now what? It’s time to take your Cartegraph data to the next level. See how your peers are using their data to answer questions, become a more productive organization, and prepare for the future.
Measuring What Matters - Building Valuable, Effective & Efficient ReportingRick Galan
The talking points to the presentation are on the Notes tab.
This presentation was given at the Salt Lake City Search Engine Marketing Digital Marketing Conference (#slcsem) in August 2015. In it, I don't talk about KPIs, or the specific metrics that you should be measuring. Instead, I focus on what I have found to be really important - Building reporting that you can use, and building relationships so your reporting has value. I also discuss how building a report is like building a product. Then I finish off with some quick tips on making your reports better.
Product Deep Dive: Getting the Most out of Scout ReportsScout RFP
Data is everywhere, but what sets Scout customers apart is that they know what to do with it. Through Scout
Reports, you can unlock the ability to understand, inform, and support your recommendations to the
business with defensible data and produce a hard-hitting impact to the bottom line. And you’ll help your
team become more data-aware in the process.
A short, 1-hour, introduction to the theory of Kanban. I cover the following points:
• Quick history of Kanban
• 2 meanings of Kanban
• Kanban principles
• Kanban practices
• Example Kanban boards
Designed for the advanced Google Analytics (GA) guru, Frank Klassen, CEO of Brightfind presented PersoniFest 2018 attendees with a deep-dive into using GA to go beyond basic web page tracking. Participants learned how to use advanced Google Tag Manager (GTM) functionality to truly understand the journey their constituents have across their websites. They discovered how Personify customers are tracking this data to pinpoint where to make improvements in order to enhance digital experiences and to increase transactions and conversions.
Three baseline metrics & what they can tell you about your team.Mike Burns
Originally presented at Agile Australia 2017.
Associated blog post - https://www.linkedin.com/pulse/three-baseline-metrics-what-can-tell-you-your-team-mike-burns
Discover how to tailor your metrics to suit you. This guide outlines which metrics a team can start using today to help improve team performance, and allow for the right decisions to be made at the right time.
By looking at cycle time, throughput, and work item size, we discuss what they reveal about a team; how they can be used to make improvements; and how to ensure metrics are used as conversation starters rather than a ‘dreaded monthly report’.
We can also use metrics to help us learn from our experiments. By using the right measures and metrics we can get real data and, more importantly, information that helps us to make the right decisions at the right time.
Reporting is the most important client communication after onboarding. It is an integral part of SEM and this is where you show the return on investment (ROI) to your clients and justify your digital budget. Good reporting is crucial to your success as a search engine marketer.
When it comes to Adwords, there is an endless supply of data and it can be a little dauting to process and present all that data in excel sheets!
Preparing Google Adwords reports in excel is exhausting and time consuming. Account Managers spend almost 1/3 of their time preparing excel reports for their clients. This is an insane waste of time, when all of this can be automated. As an account manager your core value addition is account optimization and not excel reporting!
Automation without compromising on client customization https://reportgarden.com/ offers a beautiful solution to this problem in 3 simple steps:
1. Select a default reporting template
2. Customize your reports using the simple drag and drop editor. Add all the metrics you want.
3. Schedule the report to be automatically to your clients
This is a sample ReportGarden Google AdWords Report.
The ability to customize and build your own reports allows marketers to gain truly valuable insights from the tool + this is huge time saver.
Key sections to included in a Google AdWords Report include:
1. Adwords Performance Overview
2. Click Performance
3. Geographic Performance
4. Region Wise Performance
5. City Wise Performance
6. Network Performance
7. Impression Share Report
8. Conversion Performance
9. Campaign Performance
10. Ad Group Performance
11. Text Ad Performance
12. Display Ad Performance
13. Keyword Performance
14 Search Queries
15. Recommendations
Visit: https://reportgarden.com/adwords-reporting-tool/ for more information on Adwords Reports.
You’re on your way to becoming a high-performance government. You’ve worked hard to accurately collect your assets and track your work—but now what? It’s time to take your Cartegraph data to the next level. See how your peers are using their data to answer questions, become a more productive organization, and prepare for the future.
This document discusses drivers of AI and digital transformation and the role of the Chief AI Officer (C.AI.O). It notes that by 2022, 75% of globally shipped working assets will have event-driven decision support systems. It asks what is needed to win in the next wave of value from AI and digital transformation, how to prepare data science teams to win, and how to build a value-driven AI playbook. It suggests the C.AI.O is the corporate role best able to find answers to these questions, as the C.AI.O can drive change, value, and competition through data, legal, and policy exploration to maximize appropriate AI use.
Extending JIRA to Enable High Volume KPI Benchmarking - Keyur PatelAtlassian
At Intel, KPIs are measured and reported weekly across multiple, global projects. In this session, we'll cover the business case and architecture behind developing an end-to-end process management system for KPI benchmarking, tracking, and monitoring using JIRA for more than 6,000 users.
This document discusses next generation big data business intelligence (BI). It describes traditional BI and how it is evolving to incorporate big data. Key points:
- Traditional BI includes dashboards, KPIs, OLAP, reporting, and forecasting to provide insights from structured data.
- Next generation BI leverages big data technologies like Hadoop and NoSQL databases to handle larger and more diverse unstructured data in batch and real-time.
- This enables deeper insights through analytics across all data, from basic queries to advanced predictive modeling and streaming analysis.
- The modern BI stack incorporates big data technologies alongside traditional data warehousing and OLAP for integrated insights.
How Celtra Optimizes its Advertising Platformwith DatabricksGrega Kespret
Leading brands such as Pepsi and Macy’s use Celtra’s technology platform for brand advertising. To inform better product design and resolve issues faster, Celtra relies on Databricks to gather insights from large-scale, diverse, and complex raw event data. Learn how Celtra uses Databricks to simplify their Spark deployment, achieve faster project turnaround time, and empower people to make data-driven decisions.
In this webinar, you will learn how Databricks helps Celtra to:
- Utilize Apache Spark to power their production analytics pipeline.
- Build a “Just-in-Time” data warehouse to analyze diverse data sources such as Elastic Load Balancer access logs, raw tracking events, operational data, and reportable metrics.
- Go beyond simple counting and group events into sequences (i.e., sessionization) and perform more complex analysis such as funnel analytics.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
Utilizing Marginal Net Utility for Recommendation in E-commerceLiangjie Hong
The document discusses utilizing marginal net utility for recommendation in e-commerce. It proposes modeling user behavior based on marginal net utility to maximize the net utility for each user. It introduces a Cobb-Douglas utility function that captures diminishing returns. It then revamps existing SVD recommendation algorithms to estimate utility based on this new function. Experiments on a real e-commerce dataset show the new approach significantly outperforms baselines in recommending re-purchases and new products.
- Data analytics is the process of extracting meaningful insights from raw data through analysis. It involves collecting, cleaning, and transforming data from various sources into useful information that can be understood by humans.
- Data analysts collect and process large datasets to identify patterns and relationships that can help solve business problems. Their responsibilities include understanding organizational goals, gathering and cleaning data, analyzing trends, and preparing summary reports using data visualization tools.
- The field of data analytics is growing rapidly as more companies generate vast amounts of data. Skilled data analysts are in high demand to help organizations make meaningful insights and decisions from their data.
This document discusses how organizations can leverage big data and artificial intelligence (AI) to drive insights and add intelligence to their solutions. It covers common big data challenges, AWS big data solutions like Amazon S3, Glue, Athena, Redshift, Kinesis, and SageMaker, and how big data can power machine learning. Some key tenets for building big data architectures are using the right tools, leveraging managed services, adopting event-driven design patterns, and enabling ML applications.
ETE 2013: Going Big with Big Data...one step at a timeAnita Andrews
This document provides an overview of using data analytics to optimize business performance. It begins with introductions and defines "big data." It then discusses how most companies are not truly leveraging big data and challenges they face. The document recommends doing an initial assessment of goals, team capabilities, data sources, and tools. It suggests starting with a small, focused data set to quickly test the analytics process and prove value. Finally, it outlines two approaches to optimization: funnel optimization and "Russian doll" optimization, where differentiating characteristics of high-performing users or items are used to improve lower-performing ones in an iterative process. The key messages are doing analytics incrementally, interpreting data intelligently, and using insights to optimize measurable
There are only TWO substantial phases in a life of a digital service: either they are being built or they are being optimized. How to improve your UX with digital analytics?
Business analytics uses data, statistical analysis, and other quantitative techniques to help understand and optimize business performance. It is becoming a major tool used by many large corporations. There are various tools and techniques for business analytics, including online analytical processing (OLAP), data visualization, data mining, predictive analysis, and geographic information systems (GIS). Real-time business intelligence and automated decision support are also increasingly important for analytics.
This document provides product management tips for business intelligence platforms and applications. It discusses measuring success through the value analytics provides to business, considering the data pyramid from raw data to reports to analytics. Ten tips are provided for creating a successful BI product, including planning for data early, understanding user needs, prioritizing user stories, embracing design principles, and validating frequently with users. The tips are grouped by product phases like discovery, planning, and definition.
Oracle provides an integrated business intelligence solution that includes embedded analytics, applications, platforms, and data integration. The solution aims to deliver operational excellence through management excellence by providing insight, collaboration, and decision making supported by action. Key components include the Oracle BI server for relational and multidimensional analysis, Essbase for specialized multidimensional applications, and scorecards for tracking key performance indicators. The unified platform and applications are designed to provide a complete picture of data from transaction to reporting and analysis.
This document discusses understanding your audience and emphasizes empathy. It recommends determining who your visitors are, where they come from, how they interact with your site, why they behave how they do, and what tasks they need to complete. Web analytics can provide data on visitors like IP addresses and page views. Canned reports summarize basic statistics, while data mining allows custom reports. User testing and personas help focus design on audience needs and priorities. The matrix framework cross-references user roles, tasks, and the AIDA model of attention, interest, desire, and action.
predictive analysis and usage in procurement ppt 2017Prashant Bhatmule
Predictive analytics can help reduce volatility and improve decision making in procurement processes. It allows understanding of future costs, demand, and supply to overcome challenges. Predictive models analyze past data and behaviors to forecast trends and outcomes. As data sources like IoT sensors expand, predictive analytics is increasingly used for applications like manufacturing process improvement, predictive maintenance of equipment, and optimizing building energy usage.
This document provides an agenda and overview for a training on Microstrategy, a business intelligence tool. The agenda includes sessions on Microstrategy's organic architecture, metadata unified model, and hands-on experience with Microstrategy projects, OLAP, and visual insight. The document also discusses Microstrategy's architecture, modules, and development tools. It explains how Microstrategy provides interactive reporting, analysis, dashboards, alerting and other functions through a unified platform that accesses various data sources.
SplunkLive! New York Dec 2012 - SNAP InteractiveSplunk
Nicholas DiSanto presented on how SNAP Interactive uses Splunk for application monitoring and analysis. They send structured log data and user demographic data to Splunk. This allows them to monitor errors, events and performance in real-time. They also perform extensive analysis on user behavior and evaluate A/B tests. Detection of user patterns helps classify users. Overall, Splunk provides monitoring, analysis and detection capabilities to drive product decisions and improvements.
This document provides guidance on using web analytics data to further institutional goals. It recommends articulating specific, measurable goals and then determining strategies, tactics, and metrics to track progress. Case studies demonstrate how segmentation can provide different insights than aggregate data. The document also demonstrates how to customize the Google Analytics Data Grabber tool to extract data and populate a dashboard for reporting and taking action. Hands-on practice is provided to help users customize the tool for their own analytics needs.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
This document discusses drivers of AI and digital transformation and the role of the Chief AI Officer (C.AI.O). It notes that by 2022, 75% of globally shipped working assets will have event-driven decision support systems. It asks what is needed to win in the next wave of value from AI and digital transformation, how to prepare data science teams to win, and how to build a value-driven AI playbook. It suggests the C.AI.O is the corporate role best able to find answers to these questions, as the C.AI.O can drive change, value, and competition through data, legal, and policy exploration to maximize appropriate AI use.
Extending JIRA to Enable High Volume KPI Benchmarking - Keyur PatelAtlassian
At Intel, KPIs are measured and reported weekly across multiple, global projects. In this session, we'll cover the business case and architecture behind developing an end-to-end process management system for KPI benchmarking, tracking, and monitoring using JIRA for more than 6,000 users.
This document discusses next generation big data business intelligence (BI). It describes traditional BI and how it is evolving to incorporate big data. Key points:
- Traditional BI includes dashboards, KPIs, OLAP, reporting, and forecasting to provide insights from structured data.
- Next generation BI leverages big data technologies like Hadoop and NoSQL databases to handle larger and more diverse unstructured data in batch and real-time.
- This enables deeper insights through analytics across all data, from basic queries to advanced predictive modeling and streaming analysis.
- The modern BI stack incorporates big data technologies alongside traditional data warehousing and OLAP for integrated insights.
How Celtra Optimizes its Advertising Platformwith DatabricksGrega Kespret
Leading brands such as Pepsi and Macy’s use Celtra’s technology platform for brand advertising. To inform better product design and resolve issues faster, Celtra relies on Databricks to gather insights from large-scale, diverse, and complex raw event data. Learn how Celtra uses Databricks to simplify their Spark deployment, achieve faster project turnaround time, and empower people to make data-driven decisions.
In this webinar, you will learn how Databricks helps Celtra to:
- Utilize Apache Spark to power their production analytics pipeline.
- Build a “Just-in-Time” data warehouse to analyze diverse data sources such as Elastic Load Balancer access logs, raw tracking events, operational data, and reportable metrics.
- Go beyond simple counting and group events into sequences (i.e., sessionization) and perform more complex analysis such as funnel analytics.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
Utilizing Marginal Net Utility for Recommendation in E-commerceLiangjie Hong
The document discusses utilizing marginal net utility for recommendation in e-commerce. It proposes modeling user behavior based on marginal net utility to maximize the net utility for each user. It introduces a Cobb-Douglas utility function that captures diminishing returns. It then revamps existing SVD recommendation algorithms to estimate utility based on this new function. Experiments on a real e-commerce dataset show the new approach significantly outperforms baselines in recommending re-purchases and new products.
- Data analytics is the process of extracting meaningful insights from raw data through analysis. It involves collecting, cleaning, and transforming data from various sources into useful information that can be understood by humans.
- Data analysts collect and process large datasets to identify patterns and relationships that can help solve business problems. Their responsibilities include understanding organizational goals, gathering and cleaning data, analyzing trends, and preparing summary reports using data visualization tools.
- The field of data analytics is growing rapidly as more companies generate vast amounts of data. Skilled data analysts are in high demand to help organizations make meaningful insights and decisions from their data.
This document discusses how organizations can leverage big data and artificial intelligence (AI) to drive insights and add intelligence to their solutions. It covers common big data challenges, AWS big data solutions like Amazon S3, Glue, Athena, Redshift, Kinesis, and SageMaker, and how big data can power machine learning. Some key tenets for building big data architectures are using the right tools, leveraging managed services, adopting event-driven design patterns, and enabling ML applications.
ETE 2013: Going Big with Big Data...one step at a timeAnita Andrews
This document provides an overview of using data analytics to optimize business performance. It begins with introductions and defines "big data." It then discusses how most companies are not truly leveraging big data and challenges they face. The document recommends doing an initial assessment of goals, team capabilities, data sources, and tools. It suggests starting with a small, focused data set to quickly test the analytics process and prove value. Finally, it outlines two approaches to optimization: funnel optimization and "Russian doll" optimization, where differentiating characteristics of high-performing users or items are used to improve lower-performing ones in an iterative process. The key messages are doing analytics incrementally, interpreting data intelligently, and using insights to optimize measurable
There are only TWO substantial phases in a life of a digital service: either they are being built or they are being optimized. How to improve your UX with digital analytics?
Business analytics uses data, statistical analysis, and other quantitative techniques to help understand and optimize business performance. It is becoming a major tool used by many large corporations. There are various tools and techniques for business analytics, including online analytical processing (OLAP), data visualization, data mining, predictive analysis, and geographic information systems (GIS). Real-time business intelligence and automated decision support are also increasingly important for analytics.
This document provides product management tips for business intelligence platforms and applications. It discusses measuring success through the value analytics provides to business, considering the data pyramid from raw data to reports to analytics. Ten tips are provided for creating a successful BI product, including planning for data early, understanding user needs, prioritizing user stories, embracing design principles, and validating frequently with users. The tips are grouped by product phases like discovery, planning, and definition.
Oracle provides an integrated business intelligence solution that includes embedded analytics, applications, platforms, and data integration. The solution aims to deliver operational excellence through management excellence by providing insight, collaboration, and decision making supported by action. Key components include the Oracle BI server for relational and multidimensional analysis, Essbase for specialized multidimensional applications, and scorecards for tracking key performance indicators. The unified platform and applications are designed to provide a complete picture of data from transaction to reporting and analysis.
This document discusses understanding your audience and emphasizes empathy. It recommends determining who your visitors are, where they come from, how they interact with your site, why they behave how they do, and what tasks they need to complete. Web analytics can provide data on visitors like IP addresses and page views. Canned reports summarize basic statistics, while data mining allows custom reports. User testing and personas help focus design on audience needs and priorities. The matrix framework cross-references user roles, tasks, and the AIDA model of attention, interest, desire, and action.
predictive analysis and usage in procurement ppt 2017Prashant Bhatmule
Predictive analytics can help reduce volatility and improve decision making in procurement processes. It allows understanding of future costs, demand, and supply to overcome challenges. Predictive models analyze past data and behaviors to forecast trends and outcomes. As data sources like IoT sensors expand, predictive analytics is increasingly used for applications like manufacturing process improvement, predictive maintenance of equipment, and optimizing building energy usage.
This document provides an agenda and overview for a training on Microstrategy, a business intelligence tool. The agenda includes sessions on Microstrategy's organic architecture, metadata unified model, and hands-on experience with Microstrategy projects, OLAP, and visual insight. The document also discusses Microstrategy's architecture, modules, and development tools. It explains how Microstrategy provides interactive reporting, analysis, dashboards, alerting and other functions through a unified platform that accesses various data sources.
SplunkLive! New York Dec 2012 - SNAP InteractiveSplunk
Nicholas DiSanto presented on how SNAP Interactive uses Splunk for application monitoring and analysis. They send structured log data and user demographic data to Splunk. This allows them to monitor errors, events and performance in real-time. They also perform extensive analysis on user behavior and evaluate A/B tests. Detection of user patterns helps classify users. Overall, Splunk provides monitoring, analysis and detection capabilities to drive product decisions and improvements.
This document provides guidance on using web analytics data to further institutional goals. It recommends articulating specific, measurable goals and then determining strategies, tactics, and metrics to track progress. Case studies demonstrate how segmentation can provide different insights than aggregate data. The document also demonstrates how to customize the Google Analytics Data Grabber tool to extract data and populate a dashboard for reporting and taking action. Hands-on practice is provided to help users customize the tool for their own analytics needs.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
The Genesis of BriansClub.cm Famous Dark WEb PlatformSabaaSudozai
BriansClub.cm, a famous platform on the dark web, has become one of the most infamous carding marketplaces, specializing in the sale of stolen credit card data.
Easily Verify Compliance and Security with Binance KYCAny kyc Account
Use our simple KYC verification guide to make sure your Binance account is safe and compliant. Discover the fundamentals, appreciate the significance of KYC, and trade on one of the biggest cryptocurrency exchanges with confidence.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
How to Implement a Real Estate CRM SoftwareSalesTown
To implement a CRM for real estate, set clear goals, choose a CRM with key real estate features, and customize it to your needs. Migrate your data, train your team, and use automation to save time. Monitor performance, ensure data security, and use the CRM to enhance marketing. Regularly check its effectiveness to improve your business.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
Brian Fitzsimmons on the Business Strategy and Content Flywheel of Barstool S...Neil Horowitz
On episode 272 of the Digital and Social Media Sports Podcast, Neil chatted with Brian Fitzsimmons, Director of Licensing and Business Development for Barstool Sports.
What follows is a collection of snippets from the podcast. To hear the full interview and more, check out the podcast on all podcast platforms and at www.dsmsports.net
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
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Methodologies for Reporting, Search Query Analysis & Landing Page Auditing
1. Fast And Easy PPC Analytics
SMX West – March 11, 2013
Rick Galán
Associate Director, Search Marketing
RickGalan.com
@RickGalan
gplus.to/rickgalan
/in/rickgalan
@RickGalan
3. Reporting | Efficiency is Key
Efficient and effective
reporting is KEY to
success in PPC.
YOU HAVE ENOUGH TO DO.
If you are spending a large % of your time
pulling and massaging numbers, you are
doing it wrong.
@RickGalan
4. Reporting | Build a Reporting Product
Build reports like you are building a product.
YOU ARE.
A couple of rules to live by…
• Build reports in such a way that they can be repeated and updated.
• Any repetitive report should be on a schedule. Stick to it!
• Reports should always have an action or output.
• Never pull in calculated metrics. Only hard numbers.
• Learn Pivot Tables & nested formulas. For serious.
@RickGalan
5. Reporting | Elements of User Experience
What will the report look like?
What actions can it drive? What
visualizations would help achieve
the purpose?
What will views of the data will be
provided? How do these views
satisfy the needs of the audience?
How can the data be combined to
get the right metrics? How can
this data be combined ongoing?
What are the KPIs, frequency, data
sources? Who will need to be
involved? What can be
automated?
Who are the stakeholders &
audience? What is the purpose of
the report? How it will be used?
Source: The Elements of User Experience by Jesse James Garrett. http://jjg.net/elements
@RickGalan
6. Reporting | Before & After
Old Reporting:
• 2 People, 6 hours each
• Giant files, almost
unreadable
• Manually Collected
• Extremely error-prone
New Reporting:
• 1 Person, 20 minutes
• Small files,
Formatted for execs
• Visualizations and
trending
@RickGalan
7. Reporting | Summary
Build scalability and repeatability into all reports
you build.
Automate everything.
Design reports for their intended users and uses.
Save time. Go home early.
@RickGalan
9. Search Query Analysis | Pulling Data
• Run SQ Report for all keywords
• Customize your columns – no
calculated metrics!
• Save the final column set for
quick access next time
• Export to Excel
@RickGalan
10. Search Query Analysis | Future-Proofing
• Delete the top and bottom rows
of the export – Title & Total
@RickGalan
13. Search Query Analysis | Structure
• Add fields to the table & clean it
up!
• Change all "Count of" to "Sum
of"
• Rename the field to remove
"Sum of" - add a space before or
after the field name
• Change the number formats
across the board
@RickGalan
14. Search Query Analysis | Options
Check the Pivot Table
Options for a few settings
to make things a little
easier
• Display empty cell
instead of #DIV/0
• Turn off "Autofit column
widths on update" -
Annoying!
@RickGalan
16. Search Query Analysis | Sort & Filter
• Sort the keyword list by any of
the metrics by clicking More
Sort Options
• Sort by cost to find terms
impacting your efficiency
• Sort by impressions to find
terms impacting your CTR
& QS
• Sort by Orders to find
terms you may want to add
to your program
• etc.
@RickGalan
17. Search Query Analysis | Dig Deeper
• See the overall impact of a specific term
• Use the Label filters and “Does Not Contain” to
see your whole account without a term.
• Measure the impact of a negative on your ROI!
@RickGalan
18. Search Query Analysis | Summary
Spend 20 minutes building the framework for an
analysis tool that allows you to spend 1 minute
updating it.
Quantify the impact of keyword negatives
before you make them – quickly.
Save time. Go home early.
@RickGalan
19. A quick, automated methodology for performing a
LANDING PAGE AUDIT
@RickGalan
20. Landing Page Audit | Export Data
• Export an ad report or keyword
report with Destination URLs
• Include metrics to gain
further insights!
• Copy the Destination URL
column & paste a copy
@RickGalan
21. Landing Page Audit | Clean up Tracking
• Automate the removal of
tracking
• Formulas
• Find & Replace
• You want clean URLs so you
don’t affect tracking
• Do a gut check – scroll
through to make sure
things are cleaned up
• Copy & paste this list into
another spreadsheet
@RickGalan
22. Landing Page Audit | Remove Duplicates
• Remove the duplicates
• Data > Data Tools >
Remove Duplicates
• Save this file as a .csv
@RickGalan
23. Landing Page Audit | Screaming Frog
Screaming Frog SEO Spider
• http://screamingfrog.co.uk/seo-spider
• Free Download: 500 URL limit
• Pro Version: £99 / year BUY IT.
• Windows/Mac/Linux
Errors – Client & server errors (No responses, 4XX, 5XX) Meta Refresh – Including target page and time delay
Redirects – (3XX, permanent or temporary) Canonical link element & canonical HTTP headers
External Links – All followed links and their status codes X-Robots-Tag
URI Issues – Non ASCII characters, underscores, uppercase characters, File Size
dynamic uris, long over 115 characters Page Depth Level
Duplicate Pages – Hash value / MD5checksums lookup for pages with Inlinks – All pages linking to a URI
duplicate content
Outlinks – All pages a URI links out to
Page Title – Missing, duplicate, over 70 characters, same as h1, multiple
Anchor Text – All link text. Alt text from images with links
Meta Description – Missing, duplicate, over 156 characters, multiple
Follow & Nofollow – At link level (true/false)
Meta Keywords – Mainly for reference as it’s only used by Yahoo.
Images – All URIs with the image link & all images from a given page. Images
H1 – Missing, duplicate, over 70 characters, multiple over 100kb, missing alt text, alt text over 100 characters
H2 – Missing, duplicate, over 70 characters, multiple User-Agent Switcher – Crawl as Googlebot, Bingbot, or Yahoo! Slurp
Meta Robots – Index, noindex, follow, nofollow, noarchive, nosnippet, noodp, Custom Source Code Search – Analytics code, specific text, or code etc.
noydir etc
XML Sitemap Generator – You can create a basic XML sitemap
http://www.seerinteractive.com/blog/screaming-frog-guide
@RickGalan
24. Landing Page Audit | Start the Crawl
Change the mode from “Spider” to “List”
Select your file, click Start.
@RickGalan
25. Landing Page Audit | Crawl Results
• Enough info to get to work
cleaning up URLs
• Or export to .csv for more
analysis
@RickGalan
26. Landing Page Audit | Data Mash-up
• Now Back to the Ad Report…
• Use VLOOKUP
• Bring in whatever data
you want to analyze
• Pivot the data set
@RickGalan
27. Landing Page Audit | Gain Insights
• Build views to gain the
insights quickly
• Drill down to find what
changes need to be made.
• Quantify the effects of
landing page issues.
• Remember: Metrics don’t
always tell the whole story.
@RickGalan
28. Landing Page Audit | Gain Insights
• Don’t forget to look at
what is working too!
@RickGalan
29. Landing Page Audit | Summary
Don’t manually do what you can automate. Let
crawlers and Excel do the work for you.
Verify the state of your landing pages frequently,
because metrics won’t always show the real
story.
Save time. Go home early.
@RickGalan