Outline the approach undertaken by the American Association of Clinical Chemistry, American Payroll Association & the American Dental Association in transforming their email program by moving to an insight-first driven model.
4. • Capturing &
amassing data
typically in known
locations
• Tracking changes in
data
• Reporting on data
points
• Retrospective
• Data is the output
• Data is the input
• Apply data to models of
thinking (hypotheses)
for a business purpose
• Identifying which data
points are valuable as
leading indicators of
desired result path
• Predictive
• Business decisions are
the output
Data Driven vs. Insight Driven
5. Why Move to Insight-Driven?
• Find your ideal customers
• Lower the cost of customer acquisition
• Increase engagement
• Increase sales
• Decrease churn
• Increase expected lifecycle of customer
• Decrease cost for product development and
go-to-market timeline
6. Where Are We Now?
Association Metrics
Data Driven
Insight Driven
7. Associations are Maturing!
• Increased spend on:
• Data warehouses/data marts (Aptify, Reporting+)
• Business intelligence tools/dashboards (Association
Analytics)
• Marketing automation (Marketo, HubSpot, Act-On)
• Personalization tools (ICE, Sitefinity)
8. Where Orgs Get Stuck
• Largely Internal Issues:
• Data management (22%)
• Advanced analytics (39%)
• Process (42%)
• Skill (31%)
• Culture (27%)
• Funding (35%)
http://www.marketingprofs.com/opinions/2015/26832/why-moving-from-data-driven-marketing-to-insight-driven-marketing-makes-sense
9. • Find your ideal
customers
• Lower the cost of
customer acquisition
• Increase engagement
• Increase sales
• Decrease churn
• Increase expected
lifecycle of customer
• Decrease cost for
product development &
go-to-market timeline
• Data management
(22%)
• Advanced analytics
(39%)
• Process (42%)
• Skill (31%)
• Culture (27%)
• Funding (35%)
Desired Results: Challenges:
14. Insights and Outcomes
• More time on content curation, less time on
newsletter creation
• Insight into topics of interest based on actual
content consumption
• Customer behaviors are changing
• But the shortcoming is… the personalization
currently requires manual customer input.
15. Behavioral Data Warehouse
1. Where do our customers come
from?
• Online and offline referral sources
• What behaviors led up to their first transaction
(e.g. membership, event registration, e-
newsletter subscription)? How many touches
does it typically take to convert a prospect to a
customer?
2. What are our customers doing that
we can [monetize/enhance/change/
prevent/predict]?
• What are they looking at? (web pages, articles,
videos, event descriptions)
• What are they searching for? (search engines,
our site search, our event search)
• What are they talking about? (online community
discussions)
• What are they buying? (membership, events)
• From all of this, what patterns can we start
seeing?
3. Why aren’t we converting/
retaining?
What are the characteristics and behaviors
(or lack of behaviors) of members who
resign?
What are some patterns/characteristics of
prospects who are least likely to respond to
our offers?
4. How healthy is our
organization?
How are we tracking against goals?
(financial, head count, market share)
How are programs and initiatives
performing compared to history?
17. APA: Marketing Automation
• 21,000 members
• Certifications, continuing education,
publication, conferences/events, advocacy
• Vendor relations team tasked with lead
generation for sponsorship partners
• Went from home grown CRM with mail server
and few metrics to Aptify-HubSpot marketing
technology stack
18. Insights from the Move
• Understand which contacts are showing the most
desired activity to allow APA to put a membership
rep, etc in contact with individual
• Understand what content is attracting the most
people and on what channel
• Understand where users are consuming
information and what keywords they’re using to
find APA
• Can clearly understand how social media is driving
buying behavior and can measure ROI
23. ADA: Extending Reach
• 159,000 members
• 53 state chapters
• 545 local dental societies
• All use email marketing to push out information
Opportunity:
Extend one platform to all chapters to provide
efficiency & economies of scale, but moreover,
to amass all contact and consumption data in
one system integrated to Aptify
24. ADA: Extending Reach
• Create one integrated marketing technology
stack that can be used at any level of the
organization
• Provide one location for all data collection and
reporting—eliminate the black box of chapters
• Understand behaviors of users and gain insight
into what level is driving traffic and where
engagement is happening to better understand
user experience with the ADA brand
30. Insights from AN Plus
• Number and who opted up/down in terms of
frequency
• Difference between topics chosen versus
consumed (compare with heatmap)
• Who are the most loyal readers and how does
that compare to buying behavior?
• Are the most loyal readers also influencers?
32. • Find your ideal
customers
• Lower the cost of
customer acquisition
• Increase engagement
• Increase sales
• Decrease churn
• Increase expected
lifecycle of customer
• Decrease cost for
product development &
go-to-market timeline
• Data management
(22%)
• Advanced analytics
(39%)
• Process (42%)
• Skill (31%)
• Culture (27%)
• Funding (35%)
Desired Results: Challenges:
33. Advanced Analytics:
Do you have technology to do
this? People? Who’s driving
the initiative? How is it being
discussed internally?
34. Process:
Are data & insight-driven
processes spread across the
organization? Who has
ownership? How are teams
structured?
35. Skills:
Do you have the right skills?
Are you staffing for it vs.
outsourcing? How are you
training? How are you cross-
training?
36. Culture:
Challenges? How are you
moving to being user-centric
instead of department-centric?
What are the changes in
culture you’re seeing occur or
needed to move to insights?
37. Funding:
Who is driving the budget? Is it
the right budget? How to justify
more spend on new
technology? How to handle
technology purchases made
outside of IT?
38. Thank You
Please let us know if you have any questions.
Ron McGrath, CEO, HighRoad Solution
Email: ron@highroadsolution.com
Notes de l'éditeur
intro
- introduce myself
- what do you think it means to be an "insight-driven" content marketing association?
- as opposed to being what
- "data-driven" organization
- associations are evolving to be user-centric and the only way you can do this effectively is through applying data to business problems and having an organization that has the agility to change with the changing needs of the user. More importantly, to be user-centric, the organization must be able to work cross-functionally in a insight-driven culture.
narratives
- IT is responsible for Aptify
- but everyone needs to understand how data drives the organization
- using the context of our esteemed panelists we going to add insight to how they even got these projects through the door and how you can too
- I’d like my esteem and highly respected panelists introduce themselves starting Reggie
- most the blocking points are internal as you probably already know
- the panelists are going to shed like on how their organizations got pass these blocking points
- we think this will help you, as IT professionals, see even further how your work in connected to the organization innovating
- our goal is to have a lively discussion and to get you thinking about your own roles and responsibilities within your organization as well as the increasing importance of Aptify to power your organization.
- to get you to stop having the thoughts
- "i don't know what marketing does"
- "we're IT and just respond to requests"
- as these types of comments are a good indicator that you're still operating in a siloed culture
in order to be a user-centric organization and evolve with your user as their interests change you must work across functional teams and provide the customer experience you'll need to be innovative and competitive now and into the future
Welcome to our insight driven content marketing for associations
We hope it’s informative and worthy of your valuable time
http://www.marketingprofs.com/opinions/2015/26832/why-moving-from-data-driven-marketing-to-insight-driven-marketing-makes-sense
- new marketing maturity model
- phase 1: getting the data
- phase 2: discerning and analyzing the data to find patterns, trends and behaviors
- Data is most valuable once it is released, shared, consumed, and ultimately applied
- It then becomes insight.
- phase 3: innovating using the data (predictive)
- which we may cover in another session
- is about using your data and insights to be predictive
- role of content marketing
- content hooks
- using content as a bait
- using content marketing to attract new customers
- associations have tons of content
- will you move from being a “walled” garden to an “open” garden
Ask are your internal conversations happening on the right side of this slide or the left
You want to have more of the conversations on the right side
- vanity metrics aren’t the end of the story
- start with an ascertain
- millenniums are going to be more engaged over social channels like facebook (start with a hypothesis)
- rinse and repeat until you get to your hypothesis
- want to have more of the conversations on the right side
- rachael -> ask about questions that were asked to build behavioral database
- because you have to if you want to continue to innovate for your customer and be competitive
- sales use to be a dirty word, that's change
- use to call it membership
- are these all goals your organizations have?
- how are you using insights from your data to drive some of these goals?
290 associatons filled out survey
Having a sound data-driven model should demonstrate the entire lifecycle of investment to conversion
but many tactical marketers think just because they track digital behavior that the job is done.
Tracking behavior is only the beginning of the process
This chart reveals that many of the behavioral or channel tactics are important, yet only two represent the business benefit of customer revenue.
- these metrics are indicative is where your organization in the maturation continuum to becoming an insight-driven organization
- associations are moving to the insight driven path
- Remember most blocking points are internal
- And will fit into 1 or more of these 6 categories
- one of the categories you don't fall into is data management
- data management -> aptify
Now we’re going to have the panelists talk about how they solved these blocking points and moved further in the direction of being insight-driven
personalization in the digital world is like good customer interactions in the offline world — like knowing what a particular customer typically orders or that another prefers a specific brand.
overwhelmed by too many options
Curate the experience
Based on an Accenture Interactive study
Customers like being recognized: 56 percent are more likely to shop at a retailer in store or online that recognizes them by name
Customers like relevant recommendations: 58 percent are more likely to make a purchase when a retailer recommends options for them based on their past purchases or preferences
Customers like being remembered: 65 percent are more likely to shop at a retailer in store or online that knows their purchase history
Where do our customers come from?
Online and offline referral sources
What behaviors led up to their first transaction (e.g. membership, event registration, e-newsletter subscription)? How many touches does it typically take to convert a prospect to a customer?
What are our customers doing that we can [monetize/enhance/change/prevent/predict]?
What are they looking at? (web pages, articles, videos, event descriptions)
What are they searching for? (search engines, our site search, our event search)
What are they talking about? (online community discussions)
What are they buying? (membership, events)
From all of this, what patterns can we start seeing?
- so here's what we all want
- versus, here are the challenges we face and potential blocking points
- let's discuss with our panelists the following;
- Did they encounter these challenges?
- If so, how did they tackle it and what commentary/advice do have for your peers
- What are the key considerations you would provide to participants for how to approach challenges in their own organization?
- i'll start with rachael
- what was the impetus behind the behavioral database?
- what problem were you trying to solve
- how do you spread the responsible of data and insight driven processes beyond IT
- aptify: association success user conference in the future which will include more functional areas
- reggie what are you doing at asae
- how are you staffing your teams?
- where are you getting your new people?
- aacc
- suranga will be there
- got a new cio, steve
- he asked why do i have my technology people doing marketing
- move email marketing back to the marketing team
- mas -> marketing team outsource work to an agency
- being a diy isn't always the right for each organization
- restaurant/dinner metaphor
- how to secure the money required for the infrastructure investment to move toward insight driven organization
- have to secure new money
- rachael -> cpa's are tight with a buck, how did you build the case