Use cases · Engagement & Recommendations
Engagement grows when every fan, viewer or shopper gets the next thing that fits them, not the next thing on the homepage. Ask a model trained on your own customers, and it comes back with who to nudge, toward what, and in which channel.
KPIs, in priority order
watch_time_band This use case Move Light viewers to Moderate: one more series a quarter. is_cycler Give release-window cyclers a reason to stay between releases. at_risk Aim engagement plays at subscribers whose churn risk is rising. Channels
KPIs, in priority order
events_attended_band This use case Add one more event a season for fans at two to four. app_user Get more ticket holders using the app, where they buy food and their next ticket. avg_event_spend Lift spend per event through in-seat ordering and upgrades. parking_user Fill pre-paid parking, which means arriving early and spending more. Channels
KPIs, in priority order
frequency_tier This use case Add a visit a quarter for Occasional guests: the step to Regular. rewards_member Sign up the regulars who aren't members yet, so the next visit can be asked for. aov_tier Lift spend per cover with cross-sell, not discounts. Channels
Every use case starts with a brief like this one.
An example run for VistaStream, a Neuralift demo brand: a US streamer with ad-supported and ad-free plans, briefed to grow watch time and tune-in. Four of its eight ranked actions are engagement plays: step through them and the map lights up the segments each one reaches.
7d_adfrequencyat_riskis_cyclerwatch_time_band Weekend Family Co-Viewers
Maya
Representative customer
512,000 subscribers · 12.2%
Premium Ad-Free Loyalists
Clive
Representative customer
452,000 subscribers · 10.8%
Live Sports Ad-Tier Viewers
Cody
Representative customer
438,000 subscribers · 10.4%
Prestige Drama Bingers
Harper
Representative customer
396,000 subscribers · 9.4%
Release-Window Cyclers
Eli
Representative customer
382,000 subscribers · 9.1%
Daytime Reality Streamers
Bev
Representative customer
344,000 subscribers · 8.2%
Kids' Profile Households
Gemma
Representative customer
298,000 subscribers · 7.1%
Mobile Commuter Snackers
Noor
Representative customer
276,000 subscribers · 6.6%
Spanish-Language Viewers
Lucia
Representative customer
236,000 subscribers · 5.6%
Ad-Fatigued Late-Night Viewers
Hal
Representative customer
214,000 subscribers · 5.1%
Price-Sensitive Downgraders
Brent
Representative customer
188,000 subscribers · 4.5%
Documentary Deep-Divers
Rhys
Representative customer
168,000 subscribers · 4.0%
Movie Night Renters
Jules
Representative customer
154,000 subscribers · 3.7%
Returning Trialists
Ari
Representative customer
142,000 subscribers · 3.4%
A series started in the first week keeps them watching
2.7×watch hours the next month 1×nothing started
Friday decides the weekend
62%of their weekend viewing starts Friday or Saturday
The catalog holds far more than they've found
340Spanish-language titles 18they've ever started
Viewers on two screens watch twice as much
2.1×watch time on phone and TV 1×phone only
An example run for Granite Pulse Arena, a Neuralift demo brand: a sports and events arena with its own app, ticketing and parking. Four of its eight ranked actions are engagement plays: step through them and the map lights up the segments each one reaches.
events_attended_bandapp_useravg_event_spendparking_user Concert-Only Ticket Buyers
Lola
Representative customer
14,600 fans · 13.8%
Single-Game Family Outings
Paige
Representative customer
12,300 fans · 11.6%
App-Active Game-Day Regulars
Jamal
Representative customer
10,900 fans · 10.3%
Season Ticket Core
Gus
Representative customer
9,200 fans · 8.7%
Student Night Crowd
Zack
Representative customer
8,900 fans · 8.4%
Late-Arriving Downtown Workers
Ravi
Representative customer
8,400 fans · 7.9%
Merch-First Fans
Tess
Representative customer
7,600 fans · 7.2%
Lapsed Season Holders
Doug
Representative customer
6,800 fans · 6.4%
Resale-Market Opportunists
Nico
Representative customer
6,100 fans · 5.8%
Parking-Pass Early Arrivers
Carla
Representative customer
5,200 fans · 4.9%
Out-of-Town Visiting Fans
Hugh
Representative customer
4,700 fans · 4.4%
Kids Club Members
Abby
Representative customer
4,400 fans · 4.2%
Premium Club Seat Holders
Vivian
Representative customer
3,900 fans · 3.7%
Corporate Hospitality Guests
Elaine
Representative customer
2,900 fans · 2.7%
Fans who come twice in 30 days keep coming
6.2games a season 2.8one-off attenders
App users spend more on the night
$58per event, app users $37non-app
Families who pre-park arrive earlier and eat on site
71 minearly, with pre-paid parking 24 mineveryone else
They miss the concourse but stay to the end
92%stay to the final buzzer 78%everyone else
An example run for Leo's Steakhouse, a Neuralift demo brand with 24 restaurants, briefed to bring guests back more often. Four of its eight ranked actions are engagement plays: step through them and the map lights up the segments each one reaches.
aov_tierfrequency_tierrecency_tierrewards_member Celebration Diners
Bella
Representative customer
18,600 guests · 12.4%
Business Lunch Regulars
Grant
Representative customer
16,200 guests · 10.8%
Happy-Hour Bar Grazers
Kim
Representative customer
15,800 guests · 10.6%
Discount-Led Occasionals
Rick
Representative customer
14,900 guests · 10.0%
Family Sunday Diners
Paul
Representative customer
13,600 guests · 9.1%
Lapsed Weekend Regulars
Lynn
Representative customer
11,200 guests · 7.5%
Takeout Steak Night Households
Ben
Representative customer
10,300 guests · 6.9%
Loyalty Points Maximisers
Shane
Representative customer
9,900 guests · 6.6%
Wine-Led Premium Diners
Olivia
Representative customer
9,400 guests · 6.3%
Pre-Theatre Set-Menu Guests
Ivy
Representative customer
8,700 guests · 5.8%
First-Visit Tourists
Ellie
Representative customer
7,100 guests · 4.8%
Bar-to-Dining Upgraders
Rafael
Representative customer
5,600 guests · 3.7%
Gift-Card Redeemers
Nell
Representative customer
4,300 guests · 2.9%
Private Dining Bookers
Diane
Representative customer
3,800 guests · 2.5%
Bar-to-dining upgraders spend half as much again
$96per visit after upgrading $64before
Members come back sooner
38 daysbetween visits for members 71 daysfor regulars who aren't
They already order the dining-room menu
64%of their orders are dine-in dishes
Lunch regulars rarely come back for dinner
9%have dined after 6pm 41%everyone else
Recommendation engines look at what someone just did and suggest more of the same. They don't know who the person is, why they come, or what would bring them back sooner. Neuralift gives every recommendation a reason: the segment, its rhythm, and the channel that reaches it.
A recommender
A Neuralift view
The next thing, by segment
Each suggestion comes from who the person is and why they come, not only from what they did last.
Each segment's own rhythm sets the timing, and the channel it actually answers carries the message.
Move people between experiences, from concerts to games and from the bar to the dining room, not just to more of the same.
Recommendation engines look at what someone just did and suggest more of the same. They don't know who the person is, why they come, or what would bring them back sooner. Neuralift gives every recommendation a reason: the segment, its rhythm, and the channel that reaches it.
A recommender
A Neuralift view
The next thing, by segment
Each suggestion comes from who the person is and why they come, not only from what they did last.
Each segment's own rhythm sets the timing, and the channel it actually answers carries the message.
Move people between experiences, from concerts to games and from the bar to the dining room, not just to more of the same.
Recommendation engines look at what someone just did and suggest more of the same. They don't know who the person is, why they come, or what would bring them back sooner. Neuralift gives every recommendation a reason: the segment, its rhythm, and the channel that reaches it.
A recommender
A Neuralift view
The next thing, by segment
Each suggestion comes from who the person is and why they come, not only from what they did last.
Each segment's own rhythm sets the timing, and the channel it actually answers carries the message.
Move people between experiences, from concerts to games and from the bar to the dining room, not just to more of the same.
Neuralift builds a model of your customers around your bespoke use case. Explore more use cases through the lens of our demo brands, their KPIs, and actions.
Pacewright Running 7 ranked actions 
Copper Cactus Casino 9 ranked actions 
Leo's Steakhouse 8 ranked actions 
Granite Pulse Arena 8 ranked actions 
Nordvale Gaming 9 ranked actions 
VistaStream 8 ranked actions Papers, stories and the events where we meet fan, product and content teams.
Case study Sep 22, 2026 Delaware North finds the customers legacy segmentation couldn't see Read the story 
White paper Jul 2, 2026 From customers to superfans with AI-native segmentation discovery Read the paper Marketing has become an AI operating system. Blog Mar 2, 2026 Marketing has swallowed advertising. AI is swallowing marketing. Read 
Event Sep 8, 2025 Disney Data & Analytics Conference 2025 See the event Our team is always happy to talk through your customer data challenges and opportunities. We usually respond within a day, and we love helping teams see what their customer data can tell them.