Web Performance ROI:A Brief History презентация

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@tameverts performancebeacon.com

Слайд 1Web Performance ROI: A Brief History
WebPerfDays Amsterdam 2015


Слайд 2@tameverts performancebeacon.com


Слайд 3What people SAY they expect
from their online experiences


Слайд 6How do we translate that to the business?


Слайд 92008
Does front-end performance matter?


Слайд 11Impact of a 1-second delay
A site that earns $100K per day

could lose $2.5M in sales in one year

Слайд 122009
Which business metrics does performance affect?


Слайд 13Shopzilla
Sped up average page load time from 6s to 1.2s.
Experienced

a 12% increase in revenue and a 25% increase in page views.
Doubled the number of sessions from search engine marketing.
Cut the number of required servers in half.

Mozilla
Shaved 2.2s off landing page load times.
Increased download conversions by 15.4%.

Yahoo
Increased traffic by 9% for every 400 milliseconds of improvement.

AOL
Visitors in the top ten percentile of site speed viewed 50% more pages than visitors in the bottom ten percentile.

Слайд 142010
Should we care about slowdowns as much as outages?


Слайд 15Average revenue loss per hour of downtime


Average revenue loss per hour

of performance degradation (slower than 4.4s)

$21,000

$4,100

However…

Source: TRAC Research


Слайд 16…website slowdowns occur 10X more often than outages.
Source: TRAC Research


Слайд 172011
Can we compare apples to apples?


Слайд 18Source: Strangeloop


Слайд 19Source: Strangeloop


Слайд 202012
What can we do with a LOT of user data?


Слайд 212% increase in conversions for every 1 second of improvement


Слайд 22Walmart also found…

Overall, converted shoppers were served pages that were

2X faster than pages served to non-converted shoppers.

Non-buyers were served category pages that were 2-3 seconds slower than category pages served to buyers.

For every 100 milliseconds of improvement, incremental revenue increased by up to 1%.

Слайд 23Today
What’s changed?


Слайд 24http://www.soasta.com/blog/mobile-web-performance-monitoring-conversion-rate/


Слайд 25But that’s not my site


Слайд 28Conversion rate barely decreases when load times for “checkout” pages degrade


Слайд 29Conversion rate shrinks by about 50% when load time for “browse”

pages increases from 1 to 6 seconds

Слайд 31Do you know how performance affects different pages on your site?


Слайд 33What is the Conversion Impact Score?
The Conversion Impact Score (CIS) is

a relative score that ranks page groups by their propensity to negatively impact conversions due to high load times. For each page group, the Conversion Impact Score is calculated using the proportion of overall requests that are associated with that group, along with the Spearman Ranked Correlation between its load times and number of conversions. The Conversion Impact Score will always be a number between -1 and 1, though scores much greater than zero should be very rare. The more negative the score, the more detrimental to conversions that high load times for that page group are, relative to the other page groups.

Слайд 34TL;DR

The Conversion Impact Score answers this question:

How much impact does

the performance of this page have on conversions?


Слайд 35Conversion Impact Score


Слайд 36http://www.soasta.com/blog/website-monitoring-conversion-impact-score/


Слайд 37We have more questions


Слайд 38 Can we better measure how performance affects user satisfaction?

What impact does performance have on customer lifetime value? What impact does performance have on enterprise productivity? Are we always measuring the right things?

Слайд 40http://soasta.io/perftimings


Слайд 41Takeaways


Слайд 42User expectations and behavior are always changing Our tools for measuring

ROI are evolving Know your own business success metrics Understand your own visitors Target the best (not the slowest) pages for optimization Monitor, test, repeat

Слайд 43Free download (until November 4)
http://soasta.io/timeismoneybook


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