This document discusses achieving meaningful measurement through integrated dashboards framed around the customer decision journey. It begins with many organizations starting from a place of multiple spreadsheets and ad-hoc reporting. The first steps involve connecting KPIs to objectives and reporting metrics in the context of awareness, action, and advocacy stages. The goal is to create live, multi-channel dashboards with metrics tied to KPIs and objectives that are customer-focused rather than platform-focused. Common challenges include having multiple separate reports and limited priority/engagement with digital metrics. Attribution modelling is also tentatively explored to better understand impact across channels.
2. A journey to meaningful measurement
- How to achieve live integrated dashboards
framed by customer decision journey
- From a starting point of multiple spreadsheets,
ad-hoc reporting
- Organisational implementation
- Challenges
- What’s next?
6. The customer (or campaigner, or
fundraiser) decision journey
Model first published Harvard Business Review
Mckinsey & Co’s Consumer Decision Journey Model
(or take campaign action,
or donate)
9. Multi channel integrated dashboards
- Multiple users
- Live data
- Meaningful as connected to KPIs
- Actionable as each metric challenged
- CDJ simplified (Awareness, Actions, Advocacy)
- Customer focused not platform/channel focused
14. Where many start their journey
- No measurement framework
- Ad-hoc digital stats reporting
- Multiple spreadsheets
- Reporting not tied to KPIs
- KPIs not tied to objectives
15. First steps
- Connect KPIs to objectives
- E.g.
Objective: increase reach of brand content
KPI: website visits, Facebook reach, Twitter followers,
email opens
- E.g.
Objective: increase advocacy
KPI: NPS, Facebook shares, retweets
20. Mid level progress
- Partial measurement framework
- KPIs tied to objectives
- Integrated multi-channel spreadsheets (sales,
membership, email, social, website)
- Monthly stats and insights reporting
- Reporting still not tied to KPIs and not all actionable
22. Actionable metrics
- Ask the question, “what action should I take as a
result of this metric going down?”
- If unknown, what is the purpose of reporting on the
metric?
- What knowledge will you gain about customer
behaviour as a result of knowing about that stat?
- Many stats don’t tell a clear story e.g. bounce rate
23. Rationalising metrics
- What stage of the CDJ are we measuring?
- What channel are we measuring?
- What is the metric?
- Do you need daily/weekly/monthly data points?
- Where does the data come from?
24. Rationalising metrics
- Is there an API where you can get the data from?
- What will this metric tell us?
- Is this metric covered by another metric you’re
already reporting on?
- How often do you need to look at this metric?
25. Rationalising metrics
- What action could you take as a result of this metric
going down (or up)?
- What impact would that action have on the
organisation?
- Based on all of the above, what’s the value of this
metric out of 5?
- Would this metric be useful to others in the
organisation, not just centrally?
26. Picturehouse Cinemas: rationalising metrics
- Start with the customer decision journey
- Define organisational objectives based on CDJ
- Derive departmental objectives from organisational
- Define KPIs from objectives
- Check relevance
rationalising
metrics
28. Live data, daily data points
- Live data means you can be more responsive. Monthly
reports sometimes provide the information when it’s
too late to act.
- Daily data points mean you can see exactly when
something happened, rather than a broad trend. This
makes it easier to understand why numbers changed.
29. Customer before platform
- Presenting reports with data grouped by phase of the
customer decision journey rather than by channel
better reflects the user experience
- Makes recommendations / actions customer focused
- Makes your organisation customer focused
30. Advanced measurement & reporting
(reminder)
- Multi-channel integrated dashboards
- Multiple users (building a culture of data)
- Live data
- Meaningful as connected to KPIs
- Actionable as each metric challenged (avoid vanity metrics!)
- CDJ simplified (Awareness, Actions, Advocacy)
- Customer focused not platform/channel focused
33. Common challenges
- Multiple reports remain
- Competing priorities of different reports, limited time
- Priority of social/digital culturally (“what’s the impact
on the bottom line?”)
34. Goals
- Create a unified dashboard: incorporate sales data
with website, social, online
- Prove (some of) the value of social (attribution
modelling), to increase priority of social/digital
culturally, and improve engagement with data
- Regularly re-evaluate how actionable the insights
really are around each metric
35. Some final thoughts…
- In itself, reporting is unlikely to drive a cultural change
- Make data/stats central to people’s roles and reviews
- Ensure reports are highly valuable and actionable, not just
box checking
- Less is more – start with minimum essential metrics to get
reporting embedded
- Keep metrics framed in context of why they’re important
e.g. what organisational objective do they relate to?
36. Summary
- Start with the customer decision journey
- Define organisational objectives based on CDJ
- Derive departmental objectives from organisational ones
- Define KPIs from objectives
- Present data in terms of CDJ (customer focused not platform
focused)
- Integrate channel data where possible
- Check relevance – what are you going to do about it? If unsure, cross
reference with assumed ideal actions (but don’t start with these)
- Keep detail in channel specific tools
38. Tentative steps in attribution modelling
- Consider impact of
online on offline
sales (voucher
codes)
- Google Analytics:
multiple touch
points not just last
visit conversion
39. Tentative steps in attribution modelling
Google Analytics: multiple touch points not just last
visit conversion