December 2014

Web Performance is a KPI

How RUM Bridges Insight to Impact

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Business and IT – He said, she said

How they think about the site/app How you think about it

Growth – New users registering for the app Time to Interactive Page, Page Load Time (over time)

Conversions – Customer journey success rates Time to Interactive Page, Page Load Time

Retention - Repeat visitors Queries per Minute

Referrals – Referred customers Concurrent DB Connections

Abandonment - Exit rate # HTTP Errors (e.g., quantifying 404’s etc.)

Engagement – Average duration, spinners, freezing Time to First Byte, Time to First Paint

Business and User Behavior Technology Behavior

Performance anti-patterns

• Page weight reduced 1.2MB -> 98K

• Average page load time increased 3 sec -> 20 sec

blog.chriszacharias.com/page-weight-matters

Anecdotes

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60% faster ->

14% improvement in

donation conversions

Average page load for converted

population is 47% faster than the

average for non-converted

2.2 sec reduction in page load ->

15% in download conversions

http://kylerush.net/blog/meet-the-obama-campaigns-250-million-

fundraising-platform/http://blog.mozilla.org/metrics/2010/04/05/firefox-page-load-

speed-%E2%80%93-part-ii/SFSV WebPerformance Group 20120216 - Walmart RUM

Stat-zilla

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• For each 100ms ↑ page load time

• 1% ↓ in conversion rate

• $1.6 billion revenue per second

POLLAre you tracking key user behavior metrics along with your web performance indicators?

Which metrics are you correlating?

Found (or lost) in translation

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Timings, error codes, histograms, etc. by themselves don’t tell a return on digital story

Correlate

Compare

What can RUM do for you?

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Page performance, experienced by every visitor All devices—smartphone,

tablet, desktop, smartTV, etc.

Segmentation to facilitate triage and optimization

Analysis and correlation to user behavior UX Time, Time to First

Paint, Time to Interactive, Exit Rate, and Bounce Rate across pages

Goal completion: define customer objectives

Keynote Real User Monitoring

Sub 3-second data stream

User engagement metrics

Active test measurement correlation

Multi-dimensional analysis

RESTful API

Real-time understanding of

performance across digital

channels

Influence on customer engagement

Literacy for elevating conversations

with the business

Delivered in time to protect

revenue and cost to serve

Flexibility to extend and customize

NEW

DIFFERENTIATORS

Built on new big data architecture

enables flexible, open API for

integration with other BI tools

Real-time data available in less than

3 seconds

Keynote’s 20-year history in

synthetic monitoring is now

extended to support real user

monitoring

Keynote Performance Management: Business impact, decisive action, flexibility

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Real-time Performance and User Behavior Alerting and Deep Diagnostics

REAL USER DATA ACTIVE MEASUREMENTS OPEN PLATFORM

Sharpening real user data with synthetic measurements

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Real

Users

Synthetic

Tests

Performance

in Context

A case in point

• Gilt case study

• Synthetic testing is highly sensitive to change

• Conducive to creating controlled “experiments” and support A/B tests

http://tech.gilt.com/post/102395111244/a-

synthetic-monitoring-case-study

Elevate the conversation

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Web performance isa key performance indicator…

In the context of influence oncustomer behavior

In the context of all digital channels

In the context of competitive alternatives

TARDIS-trans on en.wikipedia

Thank You!Please submit your questions in the Q & A panel now.

Learn more about Keynote Real User Monitoring by visiting keynote.com/solutions/monitoring/real-user-monitoring

Feedback and additional questions: events@keynote.com