Sarah Fruy has had a tremendous marketing experience of 17+ years. She’s currently the VP of Marketing at Linqia, an influencer marketing company that delivers guaranteed influencer ROI. Prior to this stint, she rose up the ranks by starting experimentation which did not exist at Pantheon. She then leveled up the game by introducing Personalization.
Sarah Fruy will share the exact steps from her journey where she steered her organization all the way to personalization:
- How was decision making without experimentation
- Proving the need for experimentation
- Getting buy-in to initiate
- Leveling up to get to personalization
4. “In an increasingly digital world, if you don’t
do large-scale experimentation, in the long
term—and in many industries the short
term—you’re dead.”
- Mark Okerstrom, CEO
5. Your team can anchor on out-of-date or
misleading information
◆Working off of assumptions
◆High-risk
◆Lack of innovation
◆Inability to respond to rapidly
changing environments
Decision-Making
Without
Experimentatio
n
6. Properly managed experimentation programs
yield positive ROI for your business
◆Data-driven decision making
◆Faster iterations
◆Cross-functional collaboration
Proving the
Need for
Experimentatio
n
10. Ensure top-down, bottom up consensus
◆ Create enthusiasm for your program at
all levels of your organization
◆ Identify potential blockers
Getting Buy-In
to Initiate Your
Experimentatio
n Program
11. Build a business case for resources
◆ Budget
◆ Tools/software
◆ Staff: developers, user interface
designers, data analysts, copywriters, etc.
◆ Data pipelines
12. Establish a strong foundation with a single
northstar metric
◆ Centralized vs decentralized teams
◆ Program management guidelines
◆ Prioritization framework
◆ Ethical testing practices
13. “Our success at Amazon is a function of how
many experiments we do per year, per month,
per week, per day.”
- Jeff Bezos, CEO
15. ➔ Eliminate the guesswork
◆ Data must trump opinions
➔ Create a culture of
experimentation
◆ Ensure a continuous cycle of iteration
◆ Create opportunities for learning
◆ Enable healthy debate among team
members
◆ Embrace failure and learn from it
Maximize the
Impact of Your
Experimentation
Program
19. Foster collaborative brainstorming
sessions
◆ Gather a diverse set of stakeholders
◆ Look at data and analytics: customer
surveys/interviews, funnel reporting, engagement
metrics, heat-mapping, and cohort analysis
Leveling Up to
Personalization
20. Stay focused on the needs of your
customers
◆ Form a hypothesis on where the line is between
helpful and creepy when it comes to
personalization
◆ Include both qualitative and quantitative data in
your research
21. ➔ Ensure good data
◆ When personalization goes wrong, it can hurt
your business
➔ Incentivize employees to submit
ideas for experimentation