logging in or signing up Performance Impact: How web speed affects online business KPIs Strangeloop Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 41 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: April 07, 2011 This Presentation is Public Favorites: 0 Presentation Description Strangeloop provides the only front-end website performance optimization (WPO) solutions that operate at the scale demanded by global ecommerce sites and enterprise applications. Learn how companies like Petco, Travelocity and O'Reilly Media use Strangeloop to make their websites faster, and increase their revenues, conversion rates, and Google search rankings. http://www.strangeloopnetworks.com Comments Posting comment... Premium member Presentation Transcript Performance Impact: Performance Impact How Web speed affects online business KPIsToday’s Hosts: Today’s Hosts Hooman Beheshti, VP Product, Strangeloop Alistair Croll, Analyst, Bitcurrent Author of O’Reilly’s Complete Web MonitoringSlide 6: 10 s 1 s 100 ms 10 ms ! ZzzSlide 9: http://www.flickr.com/photos/spunter/393793587 http://www.flickr.com/photos/laurenclose/2217307446Slide 10: Everything is interwoven.We’re getting better: We’re getting betterSlide 13: Impact of page load time on average daily searches per userSlide 15: Impact of additional delay on business metricsSlide 16: Shopzilla had another angle Big, high-traffic site 100M impressions a day 8,000 searches a second 20-29M unique visitors a month 100M products 16 month re-engineering Page load from 6 seconds to 1.2 Uptime from 99.65% to 99.97% 10% of previous hardware needs http://en.oreilly.com/velocity2009/public/schedule/detail/77095-12% increase in revenue: 5-12% increase in revenueSlide 20: Transactional SaaS Media Collaborative Buy something (Amazon) Use an app ( Salesforce ) Click an ad (Google News) Create content (Wikipedia)Tying web latency to business outcomes: Tying web latency to business outcomesSlide 22: http://www.flickr.com/photos/spunter/393793587 http://www.flickr.com/photos/laurenclose/2217307446 KPIsSlide 24: http://www.flickr.com/photos/mrmoorey/160654236Slide 26: NEW VISITORS GROWTH BOUNCE RATE LOSS CONVERSION RATE ORDER VALUE x TIME ON SITE PAGES PER VISIT NUMBER OF VISITS SEARCHES TWEETS MENTIONS ADS SEEN ATTENTION ENGAGEMENT CONVERSIONSlide 27: It’s time for an experimentSlide 28: Strangeloop Google analytics Visitor Web server Optimize? Decide whether to optimize Insert segment marker Normal content Accelerated Unaccelerated Receive page Process scripts Send analyticsWhat we learned: What we learnedSlide 30: Traffic levelsSlide 31: Bounce rateSlide 32: % New visitorsSlide 33: Average time on siteSlide 34: Pages per visitSlide 35: Conversion rate & order valueSlide 36: Justifying an investment in performance Current daily orders Increased conversions Increased order value Cost of performance enhancement * + = ROI (days) ( )Slide 37: Justifying an investment in performance Caveats Your mileage will vary This is just how to think about it $10,000 0.1607 0.0551 $50,000 * + ( ) $2,158 $50,000 = 23.17 days =Slide 38: Conclusions Links between performance and business KPIs are undeniable By talking the same language, IT and marketing can finally agree on what to do about it C hanging from “X times faster” to “$Y more money” makes the business care More research is neededSlide 39: What we need next Optimized Different visitors experienced different performance levels. 0 10,000 Visitor latency # of visitsSlide 40: What we need next 21.58% better Right now we have a single experiment, and a single resulting business impact. 0 10,000 Visitor latency # of visitsSlide 41: What we need next Optimized Visitors who were optimized fall into a range – the 5 th to 95 th percentile Best 5% Worst 5% 0 10,000 Visitor latency # of visitsSlide 42: What we need next If we have several experiments, we can understand the relationship better. 24% 18% 14% 12% 9.5% 0 10,000 Visitor latency $ per day 0 GajillionsSlide 43: What we need next 0 10,000 Visitor latency $ per day Every web business has a curve like this hidden inside it. 0 GajillionsQuestions? (Submit your questions using the GoToWebinar question tool): Questions? (Submit your questions using the GoToWebinar question tool)More information: More information Visit: www.watchingwebsites.com Visit: www.bitcurrent.com Twitter: @ acroll You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Performance Impact: How web speed affects online business KPIs Strangeloop Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 41 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: April 07, 2011 This Presentation is Public Favorites: 0 Presentation Description Strangeloop provides the only front-end website performance optimization (WPO) solutions that operate at the scale demanded by global ecommerce sites and enterprise applications. Learn how companies like Petco, Travelocity and O'Reilly Media use Strangeloop to make their websites faster, and increase their revenues, conversion rates, and Google search rankings. http://www.strangeloopnetworks.com Comments Posting comment... Premium member Presentation Transcript Performance Impact: Performance Impact How Web speed affects online business KPIsToday’s Hosts: Today’s Hosts Hooman Beheshti, VP Product, Strangeloop Alistair Croll, Analyst, Bitcurrent Author of O’Reilly’s Complete Web MonitoringSlide 6: 10 s 1 s 100 ms 10 ms ! ZzzSlide 9: http://www.flickr.com/photos/spunter/393793587 http://www.flickr.com/photos/laurenclose/2217307446Slide 10: Everything is interwoven.We’re getting better: We’re getting betterSlide 13: Impact of page load time on average daily searches per userSlide 15: Impact of additional delay on business metricsSlide 16: Shopzilla had another angle Big, high-traffic site 100M impressions a day 8,000 searches a second 20-29M unique visitors a month 100M products 16 month re-engineering Page load from 6 seconds to 1.2 Uptime from 99.65% to 99.97% 10% of previous hardware needs http://en.oreilly.com/velocity2009/public/schedule/detail/77095-12% increase in revenue: 5-12% increase in revenueSlide 20: Transactional SaaS Media Collaborative Buy something (Amazon) Use an app ( Salesforce ) Click an ad (Google News) Create content (Wikipedia)Tying web latency to business outcomes: Tying web latency to business outcomesSlide 22: http://www.flickr.com/photos/spunter/393793587 http://www.flickr.com/photos/laurenclose/2217307446 KPIsSlide 24: http://www.flickr.com/photos/mrmoorey/160654236Slide 26: NEW VISITORS GROWTH BOUNCE RATE LOSS CONVERSION RATE ORDER VALUE x TIME ON SITE PAGES PER VISIT NUMBER OF VISITS SEARCHES TWEETS MENTIONS ADS SEEN ATTENTION ENGAGEMENT CONVERSIONSlide 27: It’s time for an experimentSlide 28: Strangeloop Google analytics Visitor Web server Optimize? Decide whether to optimize Insert segment marker Normal content Accelerated Unaccelerated Receive page Process scripts Send analyticsWhat we learned: What we learnedSlide 30: Traffic levelsSlide 31: Bounce rateSlide 32: % New visitorsSlide 33: Average time on siteSlide 34: Pages per visitSlide 35: Conversion rate & order valueSlide 36: Justifying an investment in performance Current daily orders Increased conversions Increased order value Cost of performance enhancement * + = ROI (days) ( )Slide 37: Justifying an investment in performance Caveats Your mileage will vary This is just how to think about it $10,000 0.1607 0.0551 $50,000 * + ( ) $2,158 $50,000 = 23.17 days =Slide 38: Conclusions Links between performance and business KPIs are undeniable By talking the same language, IT and marketing can finally agree on what to do about it C hanging from “X times faster” to “$Y more money” makes the business care More research is neededSlide 39: What we need next Optimized Different visitors experienced different performance levels. 0 10,000 Visitor latency # of visitsSlide 40: What we need next 21.58% better Right now we have a single experiment, and a single resulting business impact. 0 10,000 Visitor latency # of visitsSlide 41: What we need next Optimized Visitors who were optimized fall into a range – the 5 th to 95 th percentile Best 5% Worst 5% 0 10,000 Visitor latency # of visitsSlide 42: What we need next If we have several experiments, we can understand the relationship better. 24% 18% 14% 12% 9.5% 0 10,000 Visitor latency $ per day 0 GajillionsSlide 43: What we need next 0 10,000 Visitor latency $ per day Every web business has a curve like this hidden inside it. 0 GajillionsQuestions? (Submit your questions using the GoToWebinar question tool): Questions? (Submit your questions using the GoToWebinar question tool)More information: More information Visit: www.watchingwebsites.com Visit: www.bitcurrent.com Twitter: @ acroll