Use cases · Audience Monetization

Package audiences advertisers can't buy anywhere else.

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.

See it for
Use case brief Published
Goal Earn partner revenue from first-party audiences

KPIs, in priority order

  1. 1 loyalty_engagement_label This use case Grow the signed-in members partners can reach, with consent.
  2. 2 lifetime_spend_label Show partners the spend behind each audience.
  3. 3 orders_label Prove repeat buying to the brands you stock.

Channels

  • Retail media
  • Partnerships
  • In-store
  • Email
  • Meta
  • Google
20 segments81,138 customers placedIllustrative plays
Use case brief Published
Goal Grow ad revenue without hurting retention

KPIs, in priority order

  1. 1 7d_adfrequency This use case Find premium ad audiences, and the viewers already seeing too many ads.
  2. 2 at_risk Keep ad-tier viewers at low churn risk as ad load grows.
  3. 3 is_cycler Understand the subscribers who join, cancel and rejoin around big releases.

Channels

  • CTV
  • Ad sales
  • Programmatic
  • In-app
  • Email
  • CRM / Lifecycle
  • Paid social
14 segments4.2M subscribers placed8 ranked actions
Use case brief Published
Goal Grow sponsorship revenue, and keep partners renewing

KPIs, in priority order

  1. 1 partner_optin This use case Grow the fans partners can reach, with consent, in each partner's category.
  2. 2 events_attended_band Prove how often each partner's audience is in the building.
  3. 3 avg_event_spend Show partners the spend behind their audience.

Channels

  • Partnerships
  • In-venue screens
  • App push
  • Email
  • Account reps
  • Paid social
  • CRM / Lifecycle
14 segments105,900 fans placed8 ranked actions

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
Segments 20
Customers 81,138
On this lens loyalty_engagement_label
  • No sign-ins
  • Signed in once
  • Engaged

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 04 Margin neutral

Sell race-season runners to a race or GPS-watch partner

  • impact: high
  • effort: low
  • confidence: good
~$81K est. incremental value
Reaches 9,000 customers · 11% of the base

They buy for race season

53%of Shoebox Purists buy in spring race season 19%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 observed Suggested Treated
Retail mediaEmailPartnerships 10% holdout · 120d
Action 02 of 04 Margin neutral

Package trail newcomers for a trail nutrition partner

  • impact: medium
  • effort: low
  • confidence: good
~$18K est. incremental value
Reaches 1,500 customers · 2% of the base

Trail is all they browse

100%spend their visits on the trail pages 0%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 observed Suggested Treated
Retail mediaEmailMeta 10% holdout · 90d
Action 03 of 04 Margin neutral

Sell the store counter to an insole and sock partner

  • impact: medium
  • effort: medium
  • confidence: good
~$25K est. incremental value
Reaches 4,200 customers · 5% of the base

Counter baskets already carry more than shoes

100%of counter households add apparel 0%everyone else

Who
Signed-in households who buy at the store counter
Offer
Counter placement and a fitting-moment slot for an insole or sock partner, with sell-through reported to them
Suggested vs observed Suggested Treated
In-storePartnershipsEmail 15% holdout · 90d
Action 04 of 04 Protects margin

Show a racquet-sport partner who its buyers are

  • impact: medium
  • effort: low
  • confidence: good
~450 est. 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 shoes 0%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 observed Suggested Treated
PartnershipsRetail media 10% holdout · 180d
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
Segments 14
Subscribers 4,200,000
On this lens 7d_adfrequency
  • Light
  • Moderate
  • Heavy
  • Very heavy

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 08 Margin neutral

Package family co-viewing as a premium CTV audience

  • impact: high
  • effort: low
  • confidence: strong
~$1.4M est. 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 screen 1.3ad-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 observed Suggested Treated
CTVAd salesProgrammatic 10% holdout · 90d
Action 02 of 08 Protects margin

Cap ad load for viewers whose churn risk is rising

  • impact: high
  • effort: low
  • confidence: good
~16.6K est. 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 ads 1×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 observed Suggested Treated
Ad serverIn-appCRM 15% holdout · 120d
Action 03 of 08 Margin neutral

Sell release windows to launch sponsors

  • impact: high
  • effort: medium
  • confidence: good
~$672K est. 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 observed Suggested Treated
Ad salesCTVEmail 10% holdout · 60d
Action 06 of 08 Margin neutral

Build a Spanish-language audience package

  • impact: medium
  • effort: medium
  • confidence: good
~$346K est. incremental value
Reaches 190,000 subscribers · 5% of the base

Advertisers ask for it, and no package exists today

190Kaddressable ad-tier viewers 0packages sold today

Who
Ad-tier subscribers whose viewing is mostly Spanish-language
Offer
A dedicated Spanish-language package across originals and telenovelas
Suggested vs observed Suggested Treated
Ad salesProgrammaticCTV 10% holdout · 90d
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
Segments 14
Fans 105,900
On this lens partner_optin
  • No
  • Yes

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 08 Margin neutral

Sell a family audience to a family-category partner

  • impact: high
  • effort: low
  • confidence: good
~$214K est. incremental value
Reaches 8,900 fans · 8% of the base

Families fill the building on promo nights

34%of promo-night attendance 12%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 observed Suggested Treated
PartnershipsIn-venue screensEmail 10% holdout · 120d
Action 02 of 08 Margin neutral

Prove the pouring partner's reach before renewal talks

  • impact: high
  • effort: low
  • confidence: good
~3.3K est. 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 observed Suggested Treated
App pushPartnershipsIn-venue screens 10% holdout · 90d
Action 03 of 08 Margin neutral

Open a category no partner reaches yet

  • impact: high
  • effort: medium
  • confidence: good
~$54K est. incremental value
Reaches 3,600 fans · 3% of the base

Downtown professionals, and no partner in their categories

8.4Kfans in the segment 0partners 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 observed Suggested Treated
PartnershipsApp pushEmail 10% holdout · 120d
Action 06 of 08 Protects margin

Show suite partners who their guests are

  • impact: medium
  • effort: low
  • confidence: moderate
~560 est. 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 themselves 3.4everyone 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 observed Suggested Treated
PartnershipsAccount reps 10% holdout · 180d
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

select count(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 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 plays An 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

select count(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 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 plays An 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

  • 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 plays An 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.

Start here

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