"Predicts and converts anonymous visitors using AI."
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Updated 3 Days Ago
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3 Advocates
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2 Verified Clients
Nutshell
Session AI uses behavioral AI to predict visitor purchase intent without needing personal data. This lets marketers convert anonymous traffic into buyers. It works in real-time, cutting back on endless promotions by anticipating actions suited to each visitor. It's effective even amid tighter data privacy laws.
In Detail
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Session AI's Website Claims...
A summary of the claims made on Session AI's website as noticed by our bot, Vinny.
Tailored approach
Session AI claims that its in-session marketing platform can predict purchase intent and deliver real-time actions to convert visitors, reducing reliance on sitewide promotions.
Privacy-centric
Session AI claims that its in-session marketing solution converts visitors using only session data, without the need for customer personal data, addressing privacy concerns and changes in data policies.
Proven results
Session AI claims to deliver real business impact with AI, including higher conversion rates, increased revenue, reduced promotions, and significant ROI for major retail brands.
Case Studies
Furniture retailer gains $2.1M revenue with Session AI marketing.
45%
Consumers expect personalized experiences during shopping.
99.6%
Site traffic was anonymous, necessitating targeted solutions.
1.
Situation
A national furniture retailer needed to improve their conversion rate and revenue while minimizing reliance on intrusive pop-up promotions. Nearly 99.6% of their web traffic was anonymous, making traditional email sign-ups and conversions challenging.
2.
Task
The retailer aimed to influence customer journeys, driving margin-positive incremental revenue through targeted promotions, and reducing the friction associated with their shopping experience. They also sought to convert anonymous site-wide visitors into customers.
3.
Action
The retailer selected Session AI's in-session marketing platform. They replaced pop-ups with targeted promotions using real-time AI signals and social proof techniques, such as product velocity, to drive conversions. They also utilized dynamic real-time offers encouraging larger cart sizes with attractive discounts.
4.
Result
In the first year, the retailer saw an added revenue of $2.1M. Conversion rates improved by 7% using social proofs, and real-time offers resulted in an additional $1.1M revenue with a 22.6% CVR lift for targeted visitors. Average Order Value (AOV) increased by 18% for users receiving upsell offers.
Keywords
IN-SESSION MARKETING
TARGETED PROMOTIONS
REAL-TIME OFFERS
CONVERSION RATE
AI SIGNALS
SOCIAL PROOF
INCREMENTAL REVENUE
AVERAGE ORDER VALUE
Shopping Journey Engagement Q & A
Session AI hasn't answered their category questions yet.
