meet us during
g-star 2024
THE COFFEE BEAN & TEA LEAF
Join us for free coffee and a 30-minute meet-and-greet session. We'll also have lots of giveaways!
adikteev
coffee beaN meetup
Sign up for the meetup with us and get your free drinks!
November 14 & 15
09:00 am - 6:00 pm both days
We'll talk about:
Analyzing user behavior to identify potential triggersDeveloping dynamic rewards systems
Customizing incentives based on user activity
. Testing different gifting strategies to find what works best
What we’ll cover:
Key differences between mobile UA and retargeting ad creatives
Similarities and differences in ad creative testing strategies for UA vs retargeting campaigns
Best practices in segmenting, targeting and creative messaging to existing users to keep them engaged and spending in your app
Evaluating the effectiveness of creative in the new privacy landscape
Featured speakers:
Peggy Anne Salz
Content Marketing Strategist
Peggy Anne Salz is recognized as one of the leading experts shaping the mobile world. As a writer, analyst, consultant, in-demand online talent and founder of MobileGroove — a top 50 ranked destination providing strategic content marketing to the global mobile industry and mentoring and consulting to tech start-ups — Peggy produces webinars, podcasts, and video shows to educate marketers on the latest mobile and app trends, customer engagement and experience, and how brands and businesses can grow sustainably through values-driven marketing.
Cameron Thom
Head of New Business Lines
Cameron is Adikteev’s Chief Revenue Officer for New Business Lines. He joined Adikteev 5 years ago as Director of Sales for SaaS Products. Before Adikteev, he had worked as an Account Executive for Liftoff. Based in San Francisco, he leads all revenue efforts for Adikteev’s suite of mobile marketing tools including Churn Prediction, Cross Promotion, and User Acquisition intelligence tools.
Arnaud Capitaine
Lead Data Scientist
As the lead data scientist at Adikteev, Arnaud is responsible for developing and enhancing our churn model, improving our existing conversion rate model, and designing new approaches to real-time bidding (RTB) strategies. With a strong background in statistical analysis and machine learning techniques, he keeps the Adikteev machine running by delivering actionable recommendations and driving data science innovation.