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Laura Scarlett
Programme Director, Supporter Loyalty Platform
Acting Director of Data Management, Data Science & Campaigns
Supporter Relationship Management
8 October 2015
My Programme Brief
Design & implement a ‘loyalty’ platform which enables the
Trust to deliver value to each and every supporter through
increased relevancy & recognition
In 2 years.
1. What is the National Trust?
2. The four steps to supporter-centricity
3. Round Table discussion
Shape of this talk
A UK conservation charity, founded to conserve Britain’s
heritage and open spaces for ever, for everyone
Holidays
421 cottages
3 hotels & spas
84 bed & breakfasts
47 campsites
Hundreds of working holidays
Buildings & Countryside
340 castles, palaces, manors and halls
740 miles of coastline
59 villages
630,000 acres of land
61 nature reserves
2,000+ tenanted homes
1 gold mine
Catering
260 cafes
35 pubs
Retail
267 shops
on-line shop
Curating
334 nationally important collections
Events
Over 1,000 events/year
Over 100 exhibitions/year
56 wedding venues
Film & TV Location
A wealth of assets in our owned channels & data
Built Properties
20m visits/year
50% members
On-line
2m hits/month
60% members
Apps
1m opens/month
? members
Call-centre
1m inbound calls/year
Supporters
12.8m known individuals
4.2m active members
70k volunteers (3.1m hours donated)
Data bases
7 major & 5 minor
Local Contact Lists
Circa. 800
Content
6 systems
Countryside Places
15m visits/year
70% members
A delegated organisational framework
Operations & Consultancy Whole Trust
7 Regional Directors
25 Assistant Directors
250 General Managers
7 Heads of Consultancy
70 Marketing Consultants
50 Visitor Experience
Consultants
Brand & Marketing
Supporter Development
Conservation & Collections
IT, Finance, HR
4 steps to becoming supporter-centric
The Programme
Treating your supporters as individuals
will increase engagement and revenue
 Hygiene level of personalisation now
 Membership creates an expectation of recognition
 Local content performs better than central
 Learnings from other successful companies
Hypothesis
Step 1 : it starts with commitment
Dame Helen Ghosh
Director General
Sarah Flannigan
CIO
Sue Wilkinson
Director of
Supporter
Development
Step 2 : then get the supporter data
They’ve just had
a boozy lunch
She should
be at work
Her husband died
recently, but she
still donates
This place makes him feel
good because he used to visit
as a child
He brings this
kids here every
Friday morning
She’s considering
volunteering
His membership
expired 2 months ago
This is the first time
they’ve visited
Bodiam
 Build a Single Supporter View
 Design it for use by Data Scientists & Campaign Managers
 Put solid governance around DQ and data use (new
permissions & preference strategy)
 Over half my total budget + 2 years of very hard work
Step 2 : get the supporter data
Step 3 : use the data
 For intelligence
 For communications
 For organisation change
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
self-serve analytics is a massive win
A vast analytics team was out of the question, and the curiosity was
there so we decided to go with Tableau to enable every manager in
the Trust to make more supporter-centric decisions.
3.1 Using the data for intelligence
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
3.2 Using the data for communications
new personalised interaction capabilities let the supporter benefit
Adobe Campaign
 for effective, highly relevant timely messages to individuals
 outbound and in bound
 All 1-2-1 channels
 distributed model, through their ‘light touch’ application.
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
3.2 Using the data for communications
Adobe Campaign forces a structured programme approach
RETAIN, save,
renew
KNOW data
capture
GROW x-sell
commercial
GIVE
volunteer,
donate,
pledge
RECOGNISE
news, reward &
thank-yous
Web personal.
Journey 1
Gift
membership
conversion
X-sell incentive
Membership
cold dm
Gift Aid
conversion
Outdoor
clothing x-
sell
On-line
shoppers
up-sell
Volunteers
news
PVTY (non-
members)
Appeals to
non-
members
Member Retention &
Loyalty Programme
Member Recruitment
Programme
Supporter Recruitment &
Loyalty Programme
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
3.2 Using the data for communications
Tactical
email
No-visit nudge
Post-visit
thank-you
to members
Test 1
Test 2
Test 3
Test 4
Test 5
Test 7
Test 6
Distributed Execution
Testing Unit
Corp.
partner
offer
Vfm mail
Gift Aid
conversion
Welcome
call
 To be used when
local content /
granularity /
flexibility is
appropriate
 To be used
when central
efficiency is
appropriate
Central Execution
Adobe Campaign forces a transparent governance
Governed by a rule set
agreed by the executive
Board then enforced by a
Contact Planning Group
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
3.2 Using the data for communications
Member Retention &
Loyalty Programme
Member Retention
YEAR 1
welcome pack
welcome call
inbound welcome
tills
inbound welcome
SSC
inbound welcome
website
SAVE
no-visit nudge
churn model
driven mail
churn model
driven email
RENEW
reminder #1
reminder #2
reminder #3
cash to DD
Member Recognition
Member visitors
post-visit thank-
you
friend pass
Member donors
post-donation
thank-you
member legacy
pledgers
pledgers news
member
volunteers
volunteer news
member version
Member Giving & Growing
commercial
growth
catering, retail &
holiday offers &
news
visit-drivingemail
volunteers
aquire volunteer
from members
legacies
acquire pledgers
from members
LOW-LEVEL
GIVING
outbound
appeal #1
appeal #2
appeal #3
raffles
triggered asks
inbound
deliveries
outbound
deliveries
Member Data Capture
register for self-
serve
prompt on
website
footer on emails
email capture
at tills
at SSC
on website
Adobe Campaign forced us to plan in detail
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
Adobe Campaign integrated with the SSV
2 phase plan for manned inbound interactions
3.2 Using the data for communications
Call Centre
Slice of supporter
data held locally –
feed from SSV
POS
Best Next Message
prompts from Adobe
Campaign
Access to blended
relationship history
feed from SSV
Best Next message
prompts from
Adobe Campaign
1 2 21
prompts
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
Adobe Campaign integrated with Adobe Target & our web CMS
2 phased plan for un-manned inbound interactions
3.2 Using the data for communications
mobile app
Anonymous users
personalised by
browsing behaviour
website
Known users - best
next message
served from Adobe
Campaign
Anonymous users
personalised by
location (geo-
fencing)
Known users - best
next message
served from Adobe
Campaign
1 2 1 2
Content tiles/push
notifications
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
Change Management - Skills, Processes and Organisation
Step 4 – Organisation Change for
supporter-centricity
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
New Direct Marketing Unit = property ‘clusters’ based on
supporter visit patterns
Channel agnostic marcomms delivery roles inc. planners
KPI’s – properties will be able to carry membership retention
kpi’s for the first time. This will change the emphasis of General
Managers energies from visit volume to quality relationships
Step 4 – Organisation Change for
supporter-centricity
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
about us
slow & planned
campaigns
media schedules
inferred segments
about them
fast & iterative
interactions
supporter-driven
moments
individual
recognition
Step 4 – Behavioural Change for supporter-
centricity
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
The game-changers so far
The creation of an empowered Data Team (with teeth and shoulders)
who are central to this transformation
Single Supporter View is THE foundation stone
Tableau & the democratisation of data has been the outstanding success
Distributed marketing model for relevance – supporter-centric
Behaviour-triggered comms / Personalising Inbound Interactions
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
Thank-you
Supporter Loyalty Platform Update Oct 2014
Building stronger, more relevant relationships with our supporters
2 Questions for discussion
How much do you think this programme cost?
A) Single Supporter View
B) Tableau for 2 years
C) Adobe Campaign for 2 years
D) Integration of Adobe Campaign with tills, website and call centre
How many people did it take?
A) Dedicated ftes
B) Consistent input from BAU people

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Laura Scarlett, National Trust: Supporter Relationship Management

  • 1.
  • 2. Laura Scarlett Programme Director, Supporter Loyalty Platform Acting Director of Data Management, Data Science & Campaigns Supporter Relationship Management 8 October 2015
  • 3. My Programme Brief Design & implement a ‘loyalty’ platform which enables the Trust to deliver value to each and every supporter through increased relevancy & recognition In 2 years.
  • 4. 1. What is the National Trust? 2. The four steps to supporter-centricity 3. Round Table discussion Shape of this talk
  • 5. A UK conservation charity, founded to conserve Britain’s heritage and open spaces for ever, for everyone Holidays 421 cottages 3 hotels & spas 84 bed & breakfasts 47 campsites Hundreds of working holidays Buildings & Countryside 340 castles, palaces, manors and halls 740 miles of coastline 59 villages 630,000 acres of land 61 nature reserves 2,000+ tenanted homes 1 gold mine Catering 260 cafes 35 pubs Retail 267 shops on-line shop Curating 334 nationally important collections Events Over 1,000 events/year Over 100 exhibitions/year 56 wedding venues Film & TV Location
  • 6. A wealth of assets in our owned channels & data Built Properties 20m visits/year 50% members On-line 2m hits/month 60% members Apps 1m opens/month ? members Call-centre 1m inbound calls/year Supporters 12.8m known individuals 4.2m active members 70k volunteers (3.1m hours donated) Data bases 7 major & 5 minor Local Contact Lists Circa. 800 Content 6 systems Countryside Places 15m visits/year 70% members
  • 7. A delegated organisational framework Operations & Consultancy Whole Trust 7 Regional Directors 25 Assistant Directors 250 General Managers 7 Heads of Consultancy 70 Marketing Consultants 50 Visitor Experience Consultants Brand & Marketing Supporter Development Conservation & Collections IT, Finance, HR
  • 8. 4 steps to becoming supporter-centric The Programme
  • 9. Treating your supporters as individuals will increase engagement and revenue  Hygiene level of personalisation now  Membership creates an expectation of recognition  Local content performs better than central  Learnings from other successful companies Hypothesis
  • 10. Step 1 : it starts with commitment Dame Helen Ghosh Director General Sarah Flannigan CIO Sue Wilkinson Director of Supporter Development
  • 11. Step 2 : then get the supporter data They’ve just had a boozy lunch She should be at work Her husband died recently, but she still donates This place makes him feel good because he used to visit as a child He brings this kids here every Friday morning She’s considering volunteering His membership expired 2 months ago This is the first time they’ve visited Bodiam
  • 12.  Build a Single Supporter View  Design it for use by Data Scientists & Campaign Managers  Put solid governance around DQ and data use (new permissions & preference strategy)  Over half my total budget + 2 years of very hard work Step 2 : get the supporter data
  • 13. Step 3 : use the data  For intelligence  For communications  For organisation change
  • 14. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters self-serve analytics is a massive win A vast analytics team was out of the question, and the curiosity was there so we decided to go with Tableau to enable every manager in the Trust to make more supporter-centric decisions. 3.1 Using the data for intelligence
  • 15. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters 3.2 Using the data for communications new personalised interaction capabilities let the supporter benefit Adobe Campaign  for effective, highly relevant timely messages to individuals  outbound and in bound  All 1-2-1 channels  distributed model, through their ‘light touch’ application.
  • 16. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters 3.2 Using the data for communications Adobe Campaign forces a structured programme approach RETAIN, save, renew KNOW data capture GROW x-sell commercial GIVE volunteer, donate, pledge RECOGNISE news, reward & thank-yous Web personal. Journey 1 Gift membership conversion X-sell incentive Membership cold dm Gift Aid conversion Outdoor clothing x- sell On-line shoppers up-sell Volunteers news PVTY (non- members) Appeals to non- members Member Retention & Loyalty Programme Member Recruitment Programme Supporter Recruitment & Loyalty Programme
  • 17. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters 3.2 Using the data for communications Tactical email No-visit nudge Post-visit thank-you to members Test 1 Test 2 Test 3 Test 4 Test 5 Test 7 Test 6 Distributed Execution Testing Unit Corp. partner offer Vfm mail Gift Aid conversion Welcome call  To be used when local content / granularity / flexibility is appropriate  To be used when central efficiency is appropriate Central Execution Adobe Campaign forces a transparent governance Governed by a rule set agreed by the executive Board then enforced by a Contact Planning Group
  • 18. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters 3.2 Using the data for communications Member Retention & Loyalty Programme Member Retention YEAR 1 welcome pack welcome call inbound welcome tills inbound welcome SSC inbound welcome website SAVE no-visit nudge churn model driven mail churn model driven email RENEW reminder #1 reminder #2 reminder #3 cash to DD Member Recognition Member visitors post-visit thank- you friend pass Member donors post-donation thank-you member legacy pledgers pledgers news member volunteers volunteer news member version Member Giving & Growing commercial growth catering, retail & holiday offers & news visit-drivingemail volunteers aquire volunteer from members legacies acquire pledgers from members LOW-LEVEL GIVING outbound appeal #1 appeal #2 appeal #3 raffles triggered asks inbound deliveries outbound deliveries Member Data Capture register for self- serve prompt on website footer on emails email capture at tills at SSC on website Adobe Campaign forced us to plan in detail
  • 19. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters Adobe Campaign integrated with the SSV 2 phase plan for manned inbound interactions 3.2 Using the data for communications Call Centre Slice of supporter data held locally – feed from SSV POS Best Next Message prompts from Adobe Campaign Access to blended relationship history feed from SSV Best Next message prompts from Adobe Campaign 1 2 21 prompts
  • 20. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters Adobe Campaign integrated with Adobe Target & our web CMS 2 phased plan for un-manned inbound interactions 3.2 Using the data for communications mobile app Anonymous users personalised by browsing behaviour website Known users - best next message served from Adobe Campaign Anonymous users personalised by location (geo- fencing) Known users - best next message served from Adobe Campaign 1 2 1 2 Content tiles/push notifications
  • 21. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters Change Management - Skills, Processes and Organisation Step 4 – Organisation Change for supporter-centricity
  • 22. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters New Direct Marketing Unit = property ‘clusters’ based on supporter visit patterns Channel agnostic marcomms delivery roles inc. planners KPI’s – properties will be able to carry membership retention kpi’s for the first time. This will change the emphasis of General Managers energies from visit volume to quality relationships Step 4 – Organisation Change for supporter-centricity
  • 23. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters about us slow & planned campaigns media schedules inferred segments about them fast & iterative interactions supporter-driven moments individual recognition Step 4 – Behavioural Change for supporter- centricity
  • 24. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters The game-changers so far The creation of an empowered Data Team (with teeth and shoulders) who are central to this transformation Single Supporter View is THE foundation stone Tableau & the democratisation of data has been the outstanding success Distributed marketing model for relevance – supporter-centric Behaviour-triggered comms / Personalising Inbound Interactions
  • 25. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters Thank-you
  • 26. Supporter Loyalty Platform Update Oct 2014 Building stronger, more relevant relationships with our supporters 2 Questions for discussion How much do you think this programme cost? A) Single Supporter View B) Tableau for 2 years C) Adobe Campaign for 2 years D) Integration of Adobe Campaign with tills, website and call centre How many people did it take? A) Dedicated ftes B) Consistent input from BAU people