Video Series
In this video series, we explore how AI enables retailers to run fewer, smarter, and more targeted promotions — driving growth while protecting both margins and brand value.
Many retailers have become incredibly dependent on promotions to win and keep customers, but constant discounts erode profitability and weaken brands.
The promo playbook that worked in 2015 is working against you in 2025. Sitewide discounts train customers to wait for sales, erode full-price integrity, and compress margins in ways that compound over time. Retailers that rely on blanket discounting are caught in a cycle that's increasingly difficult to break.
The retailers rewriting the playbook are using AI to do something that was previously impossible at scale: identify, in real time, which shoppers need an incentive to convert — and withhold discounts from everyone else. This targeted approach delivers higher conversion for the on-the-fence segment while protecting margin for likely buyers.
This video series features retail leaders who have made the shift, sharing what they changed, what they measured, and what they learned. Each clip covers a specific question about AI-driven promotions — from implementation to measurement to organizational change.
How is AI changing how brands influence customer behavior in the moment?
Why is the old-school "blanket discounting" approach no longer effective?
What is an alternative to sitewide discounting strategies?
How does AI rewrite the old playbook on promotions?
What's the best way for brands to start using AI in their promo strategy?
What are some typical results brands can achieve within the first six months?
If you drop sitewide offers, can AI-driven ones make up for the traffic loss?
Are discounts the only way to drive conversions?
Do AI-driven offers make it easier for shoppers to game the system?
How do brands ensure AI promotions don't position them as discount brands?
What levers do teams control when using AI for ecommerce promotions?
What are some things that prevent AI-driven offers from being effective?
What type of promotions work best?
Can AI balance short-term conversions with long-term customer value?
What's the role of AI in matching the type of incentive to each shopper?
Which teams need to align to drive the AI promo transformation?
Will AI eventually eliminate the need for traditional promo calendars?
Will Session AI technology slow down my site?
What's the latency for AI-driven offer delivery?
What kind of behavioral signals can clickstream data provide?
How do you reconcile the offer logic between AI and the existing promotion engines?
Can Session AI send me the prediction signal and let my in-place systems manage the offers?
Where does Session AI sit in the tech stack?
How can brands measure the true ROI of AI-driven promotions vs traditional discounting?
How do you address concerns that selective discounts seem unfair?
How is today's behavioral AI different from earlier technologies?
What's enabling the shift to behavioral AI decisioning today?
We'll model the impact on your conversion baseline and walk through the agent live.
