My presentation from Digital Marketing Show 2014. #DMSLDN
A journey through web analytics processes, from setting up KPIs to integrating data sources and automating reports.
26. And they are also
misleading: they think in
terms of interactive
engagement hits,
do you?
If you don’t know what this means, start
from here: bit.ly/1xF11QO
27. 69% of marketers use
pageviews as a key metric,
forgetting about…
Contently, The State of Content Marketing Measurement
(2014)
28.
29. And
AJAX
VIDEOS
HOVERS
SCROLLING
CLICKS
TABBED BROWSING
and so on.
30. Start measuring the
attention time your content
receives, from mouse
movements to video plays,
looking at what browser tab
was opened etc.
31.
32. Last February, Upworthy
moved from making decisions
based on pageviews to using
attention minutes.
Sample code: bit.ly/1F2JLUG
33. Last February, Upworthy
moved from making decisions
based on pageviews to using
attention minutes.
And two months later they
were able to charge brands for
branded content.
34.
35. Or start with free plugins for:
Screen time (bit.ly/11wn6Tm)
Active time (bit.ly/1F2KXHp)
Scroll depth (bit.ly/1eH0S1r)
By @robflaherty
36. External
KPIs Board
Anything that you can correlate with revenues, conversions, cost
(£)
PIs Marketers
Metrics that help you get to your KPI targets (Content
performance: task completion rate, attention time)
Internal
Flags Marketers + Website managers
To spot issues early (Adjusted bounce rate, site speed)
37. The goal of our work is to
understand the triggers
behind new and existing
customers’ content
consumption and buying
behaviour…
38. …so we can plot the best
course of action to drive
demonstrable
improvements in revenue.
41. Three distinct phases
1.Data audit
2.Framework development
3.Ongoing reporting and
analysis
42. Three distinct phases
1.Data audit
2.Framework development
3.Ongoing reporting and
analysis
43. Understanding what structures
you/the client has in place, and
how the business is using the
data at its disposal, so that we
can devise a data collection and
reporting strategy that supports
our content marketing efforts.
45. 1. Sources attribution
We must attribute prospects to their
acquisition source or channel. We can’t
work out where our best prospects are if
we don’t know the source (PPC, list
purchase).
48. 2. Sales funnel definition
We need to define the sales funnel stages by
establishing the demographic and
behavioural measures as prospects move
down the funnel.
52. 3. Data integration/data warehousing
A data warehouse is just a big database that
pulls data from lots of different sources.
When this data is put together, you can do
an all-round user analysis, e.g. looking at
online behaviour and offline conversion. Or
tie long-term purchase history to online
behaviour.
55. 4. Conversion attribution
We should AT LEAST create an attribution
model to determine credit for content and
sales conversions. It’s a mistake to attribute
conversion to a single action: the reality is
usually a complex mix of sales path
interactions.
The attribution model should be applied to
evaluate content promotion campaigns.
56. 1
2
3
4
5
6
7
CONVERSION PATH LENGTH
SEO PPC EMAIL DIRECT
8
9
10
10+
57. 1
2
3
4
5
6
7
CONVERSION PATH LENGTH
SEO PPC EMAIL DIRECT
8
9
10
10+
66. Cross-channel attribution:
“The practice of using advanced statistical
approaches to allocate proportional credit to
marketing communications and media activity
across all channels, which ultimately leads to the
desired customer action.”
The Forrester Wave™: Cross-Channel Attribution Providers, Q4
2014
68. 5. Conversion optimisation
If we know where opportunities fall out, we
can take positive actions: messaging, copy,
calls-to-action, value propositions, design,
and even entire campaigns can be optimized
to overcome any issues.
73. 6. Prospects segmentation
You should segment your prospects, so that
you can boost conversion rates with better
content and increase sales interest with
stronger problem focus.
79. 8. Reporting
The right level of reporting should enable
different stakeholders (marketers,
salespeople etc.) to receive only the
information they need, in a way that’s as
simple and clear as possible, to take
informed decisions.
Automate reporting whenever possible.
80. Three distinct phases
1.Data audit
2.Framework development
3.Ongoing reporting and
analysis
82. Start from the business
requirements, talk to the
stakeholders involved and
then visualise the
dimensions/metrics that
you aim to get
83.
84. Now you’re ready to
spec it out!
1.Plan for the mid-long term
2.Don’t overcomplicate things
3.Think of constraints:
• Budget
• Technology
• Resources
85.
86.
87. Three distinct phases
1.Data audit
2.Framework development
3.Ongoing reporting and
analysis
90. In-depth analysis should be
carried out on a regular basis:
results should be brought into
quarterly meetings with the
relevant stakeholders, upon
internal sharing first with the
(agency) team.
110. How do I link GA users
with CRM entries?
•Extract client id from GA cookie
•Use your CRM API to push the data through
along with the CRM id
•Call webhooks as users perform set actions
111. Now all your data is
integrated, you can visualise
data the way you/your
client/your board needs!
Use free visualisations APIs:
•Google Analytics Embed API
•Google Charts
122. Iterative analytics
implementations:
“As you continually improve your site and its
features, your implementation must evolve
as well in order to provide you with the data
you need.”
@RudiShumpert