First-party viewing data holds audiences no third-party segment can match. Ask a model trained on your own subscribers, and it comes back with the audiences to package, what they're worth, and how much ad load each one can take.
GoalEarn partner revenue from first-party audiences
KPIs, in priority order
1loyalty_engagement_labelThis use caseGrow the signed-in members partners can reach, with consent.
2lifetime_spend_labelShow partners the spend behind each audience.
3orders_labelProve repeat buying to the brands you stock.
Channels
Retail media
Partnerships
In-store
Email
Meta
Google
Use case briefPublished
GoalGrow ad revenue without hurting retention
KPIs, in priority order
17d_adfrequencyThis use caseFind premium ad audiences, and the viewers already seeing too many ads.
2at_riskKeep ad-tier viewers at low churn risk as ad load grows.
3is_cyclerUnderstand the subscribers who join, cancel and rejoin around big releases.
Channels
CTV
Ad sales
Programmatic
In-app
Email
CRM / Lifecycle
Paid social
Use case briefPublished
GoalGrow sponsorship revenue, and keep partners renewing
KPIs, in priority order
1partner_optinThis use caseGrow the fans partners can reach, with consent, in each partner's category.
2events_attended_bandProve how often each partner's audience is in the building.
3avg_event_spendShow partners the spend behind their audience.
Channels
Partnerships
In-venue screens
App push
Email
Account reps
Paid social
CRM / Lifecycle
Every use case starts with a brief like this one.
The action plan
The audiences your partners will pay for.
An example run for Pacewright Running, a Neuralift demo brand, read for partner media: the GPS-watch, nutrition and insole brands it stocks and the races it backs. Four partner plays: step through them and the map lights up the segments each one reaches.
Read the segments by
Segments20
Customers81,138
On this lenslifetime_spend_labelorders_labelloyalty_engagement_labelaccount_age_label
37%38%18%
Light
Moderate
High
Top
73%22%
One-time
Repeat
Loyal
41%28%31%
No sign-ins
Signed in once
Engaged
24%56%
New
Established
Tenured
Long-standing
Shoebox Purists
Dana
Representative customer
10,031 customers · 12.4%
38%Light
32%Moderate
17%High
13%Top
68%One-time
18%Repeat
14%Loyal
42%No sign-ins
26%Signed in once
32%Engaged
23%New
51%Established
13%Tenured
14%Long-standing
What sets them apart
A shoes-and-nothing-else crowd, often buying for their children.
Spring race season drives the purchase, and partner channels bring more of it in than anywhere else.
31% High or Top lifetime spend.
Run-Club Shoe Faithful
Marcus
Representative customer
9,747 customers · 12.0%
31%Light
40%Moderate
21%High
8%Top
70%One-time
22%Repeat
8%Loyal
39%No sign-ins
26%Signed in once
35%Engaged
26%New
46%Established
14%Tenured
14%Long-standing
What sets them apart
Come for a performance pair as the season turns, found through site search.
Run-club and verified-service codes show up at checkout; holiday rush and lifestyle styles pass them by.
30% High or Top lifetime spend.
Comfort Stride Crowd
Linda
Representative customer
7,219 customers · 8.9%
39%Light
48%Moderate
12%High
1%Top
88%One-time
12%Repeat
0%Loyal
51%No sign-ins
25%Signed in once
24%Engaged
27%New
64%Established
5%Tenured
3%Long-standing
What sets them apart
One walking shoe, one purpose, one wearer, bought outright and mostly online.
No performance running pair in the box: everything they own from the brand is lifestyle.
13% High or Top lifetime spend.
Single-Lane Runners
Theo
Representative customer
4,882 customers · 6.0%
50%Light
25%Moderate
18%High
8%Top
70%One-time
24%Repeat
6%Loyal
35%No sign-ins
35%Signed in once
31%Engaged
26%New
55%Established
10%Tenured
9%Long-standing
What sets them apart
One product type for one purpose, often running apparel rather than shoes.
Read the returns, policy and support pages before they commit again.
25% High or Top lifetime spend.
Promo-Timed Online Shoe Shoppers
Kayla
Representative customer
4,809 customers · 5.9%
35%Light
31%Moderate
25%High
9%Top
59%One-time
34%Repeat
7%Loyal
31%No sign-ins
30%Signed in once
39%Engaged
11%New
62%Established
16%Tenured
11%Long-standing
What sets them apart
The relationship starts, and usually stops, at a discounted running pair.
November is their month: they come in on the Black Friday markdown, through site search.
34% High or Top lifetime spend.
Fashion-First Footwear Buyers
Tatum
Representative customer
3,788 customers · 4.7%
21%Light
52%Moderate
21%High
6%Top
75%One-time
23%Repeat
2%Loyal
39%No sign-ins
25%Signed in once
36%Engaged
46%New
47%Established
5%Tenured
2%Long-standing
What sets them apart
Style shoppers inside a running brand, choosing from the fashion pages.
Pay a fuller ticket online and leave the performance catalog untouched.
27% High or Top lifetime spend.
Full-Price Road Regulars
Owen
Representative customer
3,566 customers · 4.4%
27%Light
41%Moderate
19%High
13%Top
66%One-time
23%Repeat
11%Loyal
36%No sign-ins
19%Signed in once
45%Engaged
20%New
54%Established
14%Tenured
12%Long-standing
What sets them apart
Single-minded running-shoe buyers who shop the site and nothing else.
Buy in late summer, read the rewards page, and let member pricing do the discounting.
32% High or Top lifetime spend.
Tennis Court Regulars
Victor
Representative customer
3,562 customers · 4.4%
38%Light
37%Moderate
20%High
5%Top
73%One-time
24%Repeat
3%Loyal
49%No sign-ins
27%Signed in once
24%Engaged
22%New
61%Established
10%Tenured
7%Long-standing
What sets them apart
Come for court shoes and nothing else: one proven pair, close to list price.
Running, apparel and promotional hooks pass them by.
24% High or Top lifetime spend.
Style-First Sneaker Buyers
Jade
Representative customer
3,400 customers · 4.2%
40%Light
45%Moderate
14%High
2%Top
85%One-time
14%Repeat
1%Loyal
43%No sign-ins
40%Signed in once
18%Engaged
34%New
53%Established
6%Tenured
7%Long-standing
What sets them apart
A single pair chosen for how it looks, not what it's built to do.
Product pages rarely convert on the spot, and few come back to the site.
15% High or Top lifetime spend.
New Year Speed Seekers
Priya
Representative customer
3,307 customers · 4.1%
30%Light
40%Moderate
25%High
5%Top
79%One-time
19%Repeat
2%Loyal
46%No sign-ins
20%Signed in once
35%Engaged
35%New
50%Established
8%Tenured
8%Long-standing
What sets them apart
A fast performance shoe, ordered online at the turn of the year.
Lifestyle pieces are absent from the basket.
30% High or Top lifetime spend.
Counter-Fit Running Households
Rosa
Representative customer
3,146 customers · 3.9%
11%Light
33%Moderate
43%High
13%Top
34%One-time
57%Repeat
9%Loyal
14%No sign-ins
40%Signed in once
47%Engaged
15%New
46%Established
22%Tenured
17%Long-standing
What sets them apart
Households who buy running shoes at the store counter, not on the site.
Apparel rides along with the shoes; court sports draw no attention.
56% High or Top lifetime spend.
Clearance-Rack Shoe Hunters
Derek
Representative customer
2,994 customers · 3.7%
59%Light
27%Moderate
13%High
2%Top
74%One-time
24%Repeat
2%Loyal
28%No sign-ins
28%Signed in once
45%Engaged
16%New
64%Established
12%Tenured
8%Long-standing
What sets them apart
Outlet shoppers, not brand shoppers: an older model, discounted, bought once.
Member pricing stacks on the markdown; they live on the order and shipping pages.
14% High or Top lifetime spend.
Trailhead Newcomers
Wyatt
Representative customer
2,889 customers · 3.6%
40%Light
35%Moderate
20%High
5%Top
71%One-time
26%Repeat
3%Loyal
40%No sign-ins
30%Signed in once
30%Engaged
22%New
56%Established
12%Tenured
11%Long-standing
What sets them apart
Trail is how they entered the brand: one off-road pair at the pricier end.
Little browsing, almost no email clicks and no curiosity about rewards.
25% High or Top lifetime spend.
Pitch-and-Court Rookies
Mateo
Representative customer
2,854 customers · 3.5%
38%Light
45%Moderate
13%High
3%Top
82%One-time
16%Repeat
3%Loyal
58%No sign-ins
19%Signed in once
23%Engaged
33%New
54%Established
7%Tenured
6%Long-standing
What sets them apart
One online order for one sport need, tilted toward soccer and core performance.
Bought as spring turns to summer, close to list, with loyalty benefits ignored.
17% High or Top lifetime spend.
Accessory-Led Store Visitors
Joan
Representative customer
2,737 customers · 3.4%
43%Light
40%Moderate
15%High
2%Top
81%One-time
18%Repeat
1%Loyal
28%No sign-ins
42%Signed in once
30%Engaged
32%New
50%Established
9%Tenured
9%Long-standing
What sets them apart
A small mixed basket at the counter: an accessory beside a modest shoe.
No sport attached and almost no site browsing either side of the purchase.
17% High or Top lifetime spend.
Warm-Month Running Purists
Nina
Representative customer
2,654 customers · 3.3%
40%Light
49%Moderate
10%High
1%Top
90%One-time
10%Repeat
0%Loyal
66%No sign-ins
18%Signed in once
17%Engaged
21%New
66%Established
6%Tenured
7%Long-standing
What sets them apart
Shoe-only first buyers who pick a freshly launched style in June or October.
No store trip, no add-ons, no rewards sign-in, and email goes unclicked.
11% High or Top lifetime spend.
Opt-Out Footwear Loyalists
Harold
Representative customer
2,554 customers · 3.1%
36%Light
36%Moderate
22%High
6%Top
66%One-time
29%Repeat
4%Loyal
32%No sign-ins
35%Signed in once
33%Engaged
9%New
52%Established
24%Tenured
15%Long-standing
What sets them apart
Loyal shoe buyers who have already reached for the unsubscribe link.
Walking styles fit their routine, and they seldom shop on a phone.
28% High or Top lifetime spend.
Shoes-Only Full-Price Shoppers
Celia
Representative customer
2,491 customers · 3.1%
38%Light
43%Moderate
16%High
4%Top
80%One-time
18%Repeat
3%Loyal
42%No sign-ins
38%Signed in once
20%Engaged
12%New
73%Established
9%Tenured
7%Long-standing
What sets them apart
Come in once, in early fall or November, for a single pair on its merits.
Loyalty pricing sits idle and inbox actions stay quiet.
20% High or Top lifetime spend.
Court Sport Starters
Andre
Representative customer
2,383 customers · 2.9%
57%Light
31%Moderate
11%High
1%Top
81%One-time
18%Repeat
1%Loyal
48%No sign-ins
32%Signed in once
21%Engaged
24%New
60%Established
9%Tenured
7%Long-standing
What sets them apart
Came for one indoor court pair and stopped there.
Court-sport pages draw them in; the running wall goes unshopped.
13% High or Top lifetime spend.
December Running Newcomers
Sienna
Representative customer
2,125 customers · 2.6%
48%Light
42%Moderate
10%High
1%Top
91%One-time
9%Repeat
0%Loyal
49%No sign-ins
35%Signed in once
17%Engaged
0%New
87%Established
7%Tenured
6%Long-standing
What sets them apart
A single running pair at holiday time, at or near list price.
Then quiet on every channel: no run-club code, no apparel, no repeat.
10% High or Top lifetime spend.
Pacewright Running, a Neuralift demo brand, in an illustrative run: the segments and figures are examples. Hover a segment to see what sets it apart.
Action 01 of 04Margin neutral
Sell race-season runners to a race or GPS-watch partner
impact: high
effort: low
confidence: good
~$81Kest. incremental value
Reaches 9,000 customers · 11% of the base
They buy for race season
53%of Shoebox Purists buy in spring race seasonvs19%everyone else
Who
Signed-in members who buy for spring race season or check out with run-club codes
Offer
A spring race-season package for a race organiser or GPS-watch partner, reported as aggregates
Suggested vs observedSuggested Treated
Action 02 of 04Margin neutral
Package trail newcomers for a trail nutrition partner
impact: medium
effort: low
confidence: good
~$18Kest. incremental value
Reaches 1,500 customers · 2% of the base
Trail is all they browse
100%spend their visits on the trail pagesvs0%everyone else
Who
Signed-in members who entered the brand on a trail pair
Offer
A trail audience for a hydration or nutrition partner, with the trail field guide behind it
Suggested vs observedSuggested Treated
Action 03 of 04Margin neutral
Sell the store counter to an insole and sock partner
Counter placement and a fitting-moment slot for an insole or sock partner, with sell-through reported to them
Suggested vs observedSuggested Treated
Action 04 of 04Protects margin
Show a racquet-sport partner who its buyers are
impact: medium
effort: low
confidence: good
~450est. customers who be reported in the partner's quarterly view
Reaches 1,500 customers · 2% of the base
Court buyers want court shoes and nothing else
100%buy tennis shoesvs0%everyone else
Who
Signed-in tennis and court-shoe buyers
Offer
A quarterly view for a racquet-sport partner of its buyers inside your base, shared as aggregates
Suggested vs observedSuggested Treated
01 / 04
The action plan
The audiences worth packaging.
An example run for VistaStream, a Neuralift demo brand: a US streamer with ad-supported and ad-free plans. Four of its eight ranked actions are monetization plays: step through them and the map lights up the segments each one reaches.
Read the segments by
Segments14
Subscribers4,200,000
On this lens7d_adfrequencyat_riskis_cycler
28%33%26%13%
Light
Moderate
Heavy
Very heavy
51%31%19%
Low
Medium
High
68%32%
No
Yes
Weekend Family Co-Viewers
Maya
Representative customer
512,000 subscribers · 12.2%
12%Light
44%Moderate
34%Heavy
10%Very heavy
62%Low
28%Medium
10%High
88%No
12%Yes
What sets them apart
Watch together on the living-room TV, Friday to Sunday evenings.
Family films and kids' series lead.
Brand-safe, high-attention reach.
Premium Ad-Free Loyalists
Clive
Representative customer
452,000 subscribers · 10.8%
100%Light
0%Moderate
0%Heavy
0%Very heavy
80%Low
16%Medium
4%High
94%No
6%Yes
What sets them apart
On the premium plan, so they see no ads.
The longest tenure in the base.
Not an ad audience; their viewing seeds lookalikes.
Live Sports Ad-Tier Viewers
Cody
Representative customer
438,000 subscribers · 10.4%
4%Light
22%Moderate
46%Heavy
28%Very heavy
44%Low
34%Medium
22%High
52%No
48%Yes
What sets them apart
Join for the season's live games on the ad tier.
The heaviest ad loads in the base during games.
Cycle out between seasons.
Prestige Drama Bingers
Harper
Representative customer
396,000 subscribers · 9.4%
36%Light
42%Moderate
18%Heavy
4%Very heavy
58%Low
30%Medium
12%High
64%No
36%Yes
What sets them apart
Binge new seasons of the originals in the first week.
Few ads an hour, deep attention.
A premium audience for launch sponsors.
Release-Window Cyclers
Eli
Representative customer
382,000 subscribers · 9.1%
30%Light
40%Moderate
22%Heavy
8%Very heavy
18%Low
36%Medium
46%High
0%No
100%Yes
What sets them apart
Subscribe for a big release, cancel within two months, return for the next.
At risk by design between releases.
A predictable calendar for ad sales.
Daytime Reality Streamers
Bev
Representative customer
344,000 subscribers · 8.2%
8%Light
30%Moderate
42%Heavy
20%Very heavy
50%Low
34%Medium
16%High
80%No
20%Yes
What sets them apart
Reality and lifestyle shows on weekday afternoons.
Long sessions on the ad tier.
Strong for retail and beauty advertisers.
Kids' Profile Households
Gemma
Representative customer
298,000 subscribers · 7.1%
40%Light
46%Moderate
12%Heavy
2%Very heavy
72%Low
22%Medium
6%High
90%No
10%Yes
What sets them apart
Most viewing is on kids' profiles.
Ads are limited by policy on those profiles.
Kept out of targeted ad audiences.
Mobile Commuter Snackers
Noor
Representative customer
276,000 subscribers · 6.6%
18%Light
50%Moderate
26%Heavy
6%Very heavy
46%Low
36%Medium
18%High
82%No
18%Yes
What sets them apart
Short episodes on the phone, weekday mornings.
Shorter ad pods suit them.
Reachable at the start of the day.
Spanish-Language Viewers
Lucia
Representative customer
236,000 subscribers · 5.6%
14%Light
40%Moderate
34%Heavy
12%Very heavy
54%Low
32%Medium
14%High
78%No
22%Yes
What sets them apart
Spanish-language originals and telenovelas lead.
Under-served by today's ad packages.
An audience advertisers ask for.
Ad-Fatigued Late-Night Viewers
Hal
Representative customer
214,000 subscribers · 5.1%
0%Light
6%Moderate
28%Heavy
66%Very heavy
20%Low
38%Medium
42%High
70%No
30%Yes
What sets them apart
See more than 120 ads a week, mostly after 10pm.
Ad completion falls in the last hour of a session.
Churn risk rising with ad load.
Price-Sensitive Downgraders
Brent
Representative customer
188,000 subscribers · 4.5%
6%Light
30%Moderate
40%Heavy
24%Very heavy
22%Low
38%Medium
40%High
60%No
40%Yes
What sets them apart
Moved from Standard to the ad tier this year.
Watch as much as before, with more ads.
Churn risk climbs with ad load.
Documentary Deep-Divers
Rhys
Representative customer
168,000 subscribers · 4.0%
44%Light
40%Moderate
14%Heavy
2%Very heavy
64%Low
28%Medium
8%High
76%No
24%Yes
What sets them apart
Search-led factual viewing, finished to the end.
High ad completion, low ad load.
Premium for finance and auto advertisers.
Movie Night Renters
Jules
Representative customer
154,000 subscribers · 3.7%
26%Light
44%Moderate
24%Heavy
6%Very heavy
52%Low
32%Medium
16%High
70%No
30%Yes
What sets them apart
Weekend movie nights, often a new release.
Ads before the film, few during it.
Strong for food delivery and entertainment.
Returning Trialists
Ari
Representative customer
142,000 subscribers · 3.4%
22%Light
44%Moderate
26%Heavy
8%Very heavy
30%Low
40%Medium
30%High
42%No
58%Yes
What sets them apart
Came back on a promotional ad-tier price.
Still deciding whether to stay.
A light ad load keeps them.
VistaStream, a Neuralift demo brand, in an illustrative run: the segments and figures are examples. Hover a segment to see what sets it apart.
Action 01 of 08Margin neutral
Package family co-viewing as a premium CTV audience
impact: high
effort: low
confidence: strong
~$1.4Mest. incremental value
Reaches 492,000 subscribers · 12% of the base
Co-viewing puts two or more people in front of each ad
2.6viewers per screenvs1.3ad-tier average
Who
Ad-tier households watching together on the TV on weekend evenings
Offer
A family co-viewing package at a premium CPM, capped at eight ads an hour
Suggested vs observedSuggested Treated
Action 02 of 08Protects margin
Cap ad load for viewers whose churn risk is rising
impact: high
effort: low
confidence: good
~16.6Kest. subscribers who stay subscribed past their next renewal
Reaches 276,000 subscribers · 7% of the base
Cancellations climb past 120 ads a week
3.1×cancel rate above 120 adsvs1×under 60 ads
Who
Ad-tier viewers above 120 ads a week whose churn risk is Medium or High
Offer
A cap at 90 ads a week, with the freed impressions moved to light viewers
Suggested vs observedSuggested Treated
Action 03 of 08Margin neutral
Sell release windows to launch sponsors
impact: high
effort: medium
confidence: good
~$672Kest. incremental value
Reaches 420,000 subscribers · 10% of the base
Cyclers come back within days of a major release
84%rejoin within 7 days of a release
Who
Subscribers who join for a release and leave within two months
Offer
Sponsored premiere weeks sold ahead of each release, with a returning-viewer guarantee
Suggested vs observedSuggested Treated
Action 06 of 08Margin neutral
Build a Spanish-language audience package
impact: medium
effort: medium
confidence: good
~$346Kest. incremental value
Reaches 190,000 subscribers · 5% of the base
Advertisers ask for it, and no package exists today
190Kaddressable ad-tier viewersvs0packages sold today
Who
Ad-tier subscribers whose viewing is mostly Spanish-language
Offer
A dedicated Spanish-language package across originals and telenovelas
Suggested vs observedSuggested Treated
01 / 04
The action plan
The fans your sponsors will pay to reach.
An example run for Granite Pulse Arena, a Neuralift demo brand, briefed to grow sponsorship revenue and keep partners renewing. Four of its eight ranked actions are partnership plays, every one built on fans who've opted in: step through them and the map lights up the segments each one reaches.
Read the segments by
Segments14
Fans105,900
On this lensevents_attended_bandapp_useravg_event_spendparking_userrenewal_riskpartner_optin
32%36%19%14%
1
2–4
5–9
10+
46%54%
No
Yes
16%37%31%15%
Low
Mid
High
Premium
48%52%
No
Yes
38%35%26%
Low
Medium
High
51%49%
No
Yes
Concert-Only Ticket Buyers
Lola
Representative customer
14,600 fans · 13.8%
64%1
32%2–4
4%5–9
0%10+
70%No
30%Yes
10%Low
38%Mid
38%High
14%Premium
58%No
42%Yes
30%Low
40%Medium
30%High
62%No
38%Yes
What sets them apart
Come for concerts and shows, never a game.
Buy on the primary site and skip the app.
Spend well on drinks on the night.
Single-Game Family Outings
Paige
Representative customer
12,300 fans · 11.6%
58%1
40%2–4
2%5–9
0%10+
64%No
36%Yes
20%Low
48%Mid
26%High
6%Premium
34%No
66%Yes
34%Low
42%Medium
24%High
48%No
52%Yes
What sets them apart
Two adults and two kids, once or twice a season.
Promotional nights decide the date.
Park on site and arrive early.
App-Active Game-Day Regulars
Jamal
Representative customer
10,900 fans · 10.3%
0%1
22%2–4
58%5–9
20%10+
0%No
100%Yes
14%Low
46%Mid
32%High
8%Premium
40%No
60%Yes
58%Low
30%Medium
12%High
36%No
64%Yes
What sets them apart
Use the app for tickets, in-seat food and replays.
Five to nine games a season.
Answer a game-day push within minutes.
Season Ticket Core
Gus
Representative customer
9,200 fans · 8.7%
0%1
0%2–4
12%5–9
88%10+
18%No
82%Yes
4%Low
26%Mid
44%High
26%Premium
22%No
78%Yes
66%Low
24%Medium
10%High
30%No
70%Yes
What sets them apart
Half- and full-season holders at nearly every home game.
App and parking users almost to a person.
The fans every other segment could become.
Student Night Crowd
Zack
Representative customer
8,900 fans · 8.4%
30%1
52%2–4
16%5–9
2%10+
26%No
74%Yes
56%Low
36%Mid
7%High
1%Premium
96%No
4%Yes
28%Low
40%Medium
32%High
42%No
58%Yes
What sets them apart
Student-priced tickets, in groups, on Thursday nights.
Low spend, high noise, tickets in the app wallet.
Next year's full-price fans.
Late-Arriving Downtown Workers
Ravi
Representative customer
8,400 fans · 7.9%
10%1
52%2–4
30%5–9
8%10+
42%No
58%Yes
24%Low
44%Mid
26%High
6%Premium
92%No
8%Yes
40%Low
40%Medium
20%High
56%No
44%Yes
What sets them apart
Walk over from the office and arrive after tip-off.
Never park, rarely eat before the game.
A short window for in-seat ordering.
Merch-First Fans
Tess
Representative customer
7,600 fans · 7.2%
24%1
50%2–4
22%5–9
4%10+
38%No
62%Yes
10%Low
34%Mid
40%High
16%Premium
48%No
52%Yes
46%Low
38%Medium
16%High
34%No
66%Yes
What sets them apart
Buy jerseys and drops in the arena store and online.
Merchandise is half their spend.
Player-release weeks bring them in.
Lapsed Season Holders
Doug
Representative customer
6,800 fans · 6.4%
30%1
62%2–4
8%5–9
0%10+
56%No
44%Yes
12%Low
40%Mid
36%High
12%Premium
44%No
56%Yes
10%Low
34%Medium
56%High
52%No
48%Yes
What sets them apart
Gave up season seats in the last two years.
Still come to two to four big games.
Still logged into the app.
Resale-Market Opportunists
Nico
Representative customer
6,100 fans · 5.8%
44%1
48%2–4
8%5–9
0%10+
72%No
28%Yes
18%Low
40%Mid
32%High
10%Premium
50%No
50%Yes
22%Low
38%Medium
40%High
80%No
20%Yes
What sets them apart
Buy late on resale for rivalry games.
Never in the app's ticket wallet.
A primary-ticket buyer the arena doesn't reach.
Parking-Pass Early Arrivers
Carla
Representative customer
5,200 fans · 4.9%
4%1
34%2–4
44%5–9
18%10+
22%No
78%Yes
6%Low
30%Mid
44%High
20%Premium
0%No
100%Yes
62%Low
28%Medium
10%High
40%No
60%Yes
What sets them apart
Pre-pay parking and arrive an hour before tip-off.
Eat at the arena, often before the doors to the bowl open.
The highest food spend outside the clubs.
Out-of-Town Visiting Fans
Hugh
Representative customer
4,700 fans · 4.4%
96%1
4%2–4
0%5–9
0%10+
88%No
12%Yes
14%Low
42%Mid
32%High
12%Premium
62%No
38%Yes
8%Low
22%Medium
70%High
86%No
14%Yes
What sets them apart
Travel in to follow the away team.
One game, one night, a hotel nearby.
Buy the other team's merchandise.
Kids Club Members
Abby
Representative customer
4,400 fans · 4.2%
20%1
52%2–4
26%5–9
2%10+
60%No
40%Yes
20%Low
52%Mid
24%High
4%Premium
36%No
64%Yes
48%Low
36%Medium
16%High
38%No
62%Yes
What sets them apart
Under-14 members, brought by a parent.
Kids' club nights and mascot events.
Family plans grow from here.
Premium Club Seat Holders
Vivian
Representative customer
3,900 fans · 3.7%
2%1
12%2–4
36%5–9
50%10+
30%No
70%Yes
0%Low
2%Mid
18%High
80%Premium
12%No
88%Yes
52%Low
30%Medium
18%High
58%No
42%Yes
What sets them apart
Club seats and suites, many on a company account.
The highest spend per event in the building.
Dining and lounge access drive the visit.
Corporate Hospitality Guests
Elaine
Representative customer
2,900 fans · 2.7%
52%1
40%2–4
8%5–9
0%10+
90%No
10%Yes
0%Low
4%Mid
24%High
72%Premium
30%No
70%Yes
20%Low
36%Medium
44%High
84%No
16%Yes
What sets them apart
Attend in suites as a client or an employee.
Never buy their own ticket.
A path to personal fandom.
Granite Pulse Arena, a Neuralift demo brand, in an illustrative run: the segments and figures are examples. Hover a segment to see what sets it apart.
Action 01 of 08Margin neutral
Sell a family audience to a family-category partner
impact: high
effort: low
confidence: good
~$214Kest. incremental value
Reaches 8,900 fans · 8% of the base
Families fill the building on promo nights
34%of promo-night attendancevs12%other nights
Who
Opted-in families from single-game outings and the kids' club
Offer
A season family partnership: kids' club naming, a presenting slot on family nights and an opted-in audience, reported monthly
Suggested vs observedSuggested Treated
Action 02 of 08Margin neutral
Prove the pouring partner's reach before renewal talks
impact: high
effort: low
confidence: good
~3.3Kest. fans who redeem the partner's offer, reported by game
Reaches 11,100 fans · 10% of the base
The partner's category is the building's biggest spend
41%of concourse spend is drinks
Who
Opted-in fans over 21 at concerts and game days, ordering at the bar or in-seat
Offer
The pouring partner's pre-game offer in the app, with redemptions reported to them game by game ahead of renewal
Suggested vs observedSuggested Treated
Action 03 of 08Margin neutral
Open a category no partner reaches yet
impact: high
effort: medium
confidence: good
~$54Kest. incremental value
Reaches 3,600 fans · 3% of the base
Downtown professionals, and no partner in their categories
8.4Kfans in the segmentvs0partners in fintech or mobility
Who
Opted-in downtown professionals who walk over from the office
Offer
An after-work presenting slot for a fintech or mobility partner, with an audience no current partner reaches
Suggested vs observedSuggested Treated
Action 06 of 08Protects margin
Show suite partners who their guests are
impact: medium
effort: low
confidence: moderate
~560est. fans who come back as a partner's guest
Reaches 2,800 fans · 3% of the base
Suite guests rarely buy their own ticket
0.1tickets a year bought themselvesvs3.4everyone else
Who
Corporate guests in suites and club seats on company accounts
Offer
A quarterly report for each suite-holding partner on which guests come back and for which events, as aggregates
Suggested vs observedSuggested Treated
01 / 04
For retailers and the brands they stock
Beyond the clean room.
A clean room answers the question a supplier already knew to ask: an overlap, a count, a SQL query. With Neuralift, you can run a model on your first-party data for a brand you stock and give them their own deep, interactive view of your customers: the segments, personas and insights it finds, shared as aggregates rather than rows.
A clean room query
selectcount(distinct hh_id) as overlap,
avg(spend_52w) as avg_spend
from cleanroom.match
where partner = 'brand_a';
overlapavg_spend
1,284,33146.20
One answer per question you already knew to ask.
A Neuralift partner view
Prepared for a GPS-watch partner
Run-Club Shoe Faithful26%2.3× indexShoebox Purists22%1.8× indexNew Year Speed Seekers18%1.6× indexFull-Price Road Regulars16%1.4× indexComfort Stride Crowd10%0.4× indexTennis Court Regulars8%0.3× index
Run-Club Shoe Faithful train in groups and buy for race season: the watch partner's best prospects.
Shoebox Purists buy for spring race season at nearly three times everyone else's rate.
SegmentsPersonasField guidesRanked playsAn example view on Pacewright Running's segments. Shared as aggregates, never as rows.
The brands you stock
Run a model for each major supplier on your first-party data, and give them their own view: their buyers inside your base, segmented, explained and ranked by what to do next.
Races and events you back
Show a race or event partner the runners who'll travel for it, and keep the view running through the season.
Your own retail media team
Packages, rate cards and pitches grounded in what the model found, with the field guide behind every audience.
For media and audience owners
Beyond the clean room.
A clean room answers the question you already knew to ask: an overlap, a count, a SQL query. With Neuralift, you can run a model on your first-party data for a partner and give them their own deep, interactive view of your audience: the segments, personas and insights it finds, shared as aggregates rather than rows.
A clean room query
selectcount(distinct hh_id) as overlap,
avg(spend_52w) as avg_spend
from cleanroom.match
where partner = 'brand_a';
overlapavg_spend
1,284,33146.20
One answer per question you already knew to ask.
A Neuralift partner view
Prepared for a beverage brand partner
Weekend Watch-Party Hosts21%2.4× indexGame-Day Snackers18%1.9× indexFamily Movie Nights16%1.3× indexLate-Night Bingers15%0.8× indexWellness Morning Viewers12%1.6× indexUnreached Live-Sport Fans10%2.1× indexOccasional Drama Viewers8%0.6× index
Weekend Watch-Party Hosts buy the brand at 2.4× your audience's rate, and 61% of them haven't seen its ads.
Unreached Live-Sport Fans look like the brand's best customers and sit outside its current buy.
SegmentsPersonasField guidesRanked playsAn example view. Shared as aggregates, never as rows.
Your biggest brand partners
Run a model for each major supplier or advertiser on your first-party data, and give them their own view: their buyers inside your audience, segmented, explained and ranked by what to do next.
Agency holding companies
Show a holdco, in the pitch, what is genuinely unique about your audience, then keep the view running as part of the partnership rather than a one-off deck.
Your own ad sales team
Packages, rate cards and RFP answers grounded in what the model found, with the field guide behind every audience your sellers put in front of a buyer.
For clubs, leagues and venues
Beyond the sponsorship deck.
A sponsorship deck answers with a logo count and an attendance figure. With Neuralift, you can run a model on your fan data for a partner and give them their own deep, interactive view of your audience: the segments, personas and insights it finds in their category, shared as aggregates rather than rows. It makes the case at renewal, and opens categories nobody sells yet.
A sponsorship deck
assetreach
Arena naming412K attendance
LED boards82 events
App banner61K users
What the partner's logo sits on. Not who sees it, or what they buy.
A Neuralift partner view
Prepared for a pouring partner
Season Ticket Core24%1.9× indexApp-Active Game-Day Regulars22%2.2× indexParking-Pass Early Arrivers18%0.4× indexConcert-Only Ticket Buyers16%2.4× indexSingle-Game Family Outings12%0.7× indexCorporate Hospitality Guests8%1.1× index
Concert-Only Ticket Buyers spend $31 a night on drinks against $18 for everyone else, and few of them are in the app yet: the pouring partner's best audience.
Parking-Pass Early Arrivers drive in, so they index low for the pouring partner. Their food spend makes them a strong audience for a food or auto partner instead.
SegmentsPersonasField guidesRanked playsAn example view on the Granite Pulse demo run. Shared as aggregates, never as rows.
Your biggest sponsors
Run a model for each major partner on your fan data, and give them their own view: their buyers among your fans, segmented, explained and ranked by what to do next.
Leagues and rights holders
Show what's unique about your fans in the rights negotiation, then keep the view running through the deal rather than a one-off deck.
Your partnerships team
Packages, renewals and new-category pitches grounded in what the model found, with the field guide behind every audience.
Horizontal by design
Your model. Any question.
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.
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.
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