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Use cases · Acquisition & Re-Engagement

Find more of your best customers.

Lookalike audiences are only as good as their seed, and win-backs only as good as their timing. Ask a model trained on your own customers, and it comes back with cleaner seeds, the lapsing customers worth bringing back, and the moment to reach them.

Talk to us Explore the action plan
See it for
Use case brief Published
Goal Grow active players

KPIs, in priority order

  1. 1 deposit_recency This use case Bring Lapsing players back before 90 days, and seed acquisition from the best Active ones.
  2. 2 ngr_band Grow net gaming revenue after bonus cost, not deposits alone.
  3. 3 deposit_frequency Turn Occasional depositors into Regulars, within responsible-gaming limits.

Channels

  • Email
  • SMS
  • App push
  • Meta
  • Google
  • Affiliates
  • CRM / Lifecycle
14 segments173,100 players placed9 ranked actions
Use case brief Published
Goal Grow direct bookings and new members

KPIs, in priority order

  1. 1 booking_channel This use case Shift bookings from OTAs to direct, and seed paid acquisition from the best direct bookers.
  2. 2 club_tier Enrol first-time and OTA guests in Aurora Club.
  3. 3 trips_band Turn one-trip guests into two-trip guests.

Channels

  • Meta
  • Google
  • Metasearch
  • Email
  • App push
  • Affiliates
  • CRM / Lifecycle
14 segments1.9M guests placed8 ranked actions

Every use case starts with a brief like this one.

The action plan

The plays that grow the base.

An example run for Nordvale Gaming, a Neuralift demo brand: an online casino and sportsbook. Four of its nine ranked actions are acquisition and win-back plays, and every one leaves out players with responsible-gaming limits. Step through them and the map lights up the segments each one reaches.

Read the segments by
Segments 14
Players 173,100
On this lens deposit_recency
  • Lapsed
  • Lapsing
  • Cooling
  • Active

Nordvale Gaming, 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 09 Protects margin

Seed lookalikes from profitable regulars, not bonus churners

  • impact: high
  • effort: low
  • confidence: strong
~1.9K est. players who join from the new lookalikes and deposit twice
Reaches 13,500 players · 8% of the base

A third of today's seed list are bonus churners

34%of the current seed 0%of the new seed

Who
Players profitable after bonus cost for six months, excluding anyone with RG limits
Offer
A seed list refreshed each Reading for Meta and Google lookalikes, churners suppressed
Suggested vs observed Suggested Treated
MetaGoogleAffiliates 10% holdout · 90d
Action 02 of 09 Margin neutral

Catch lapsing live-dealer players with the table they left

  • impact: high
  • effort: low
  • confidence: good
~$178K est. incremental value
Reaches 6,000 players · 3% of the base

They still log in to watch the tables

3.4lobby visits a week, no deposit 0.6fully lapsed players

Who
Live-dealer players with deposits down by half in six weeks, still logging in
Offer
A reserved seat at their usual table and dealer, with no bonus attached
Suggested vs observed Suggested Treated
App pushEmailCRM 15% holdout · 60d
Action 03 of 09 Protects margin

Time sports win-backs to each player's own calendar

  • impact: medium
  • effort: low
  • confidence: good
~2.4K est. players who bet the next big event
Reaches 10,700 players · 6% of the base

Their lapses follow the season, not dissatisfaction

89%return for the next final 41%other lapsed players

Who
Sports bettors whose last bet was a final or a major event
Offer
A reminder a week before their event, with the market they bet last time and no boost
Suggested vs observed Suggested Treated
EmailSMSApp push 10% holdout · 120d
Action 05 of 09 Protects margin

Win back former VIPs through a host, not a bonus

  • impact: high
  • effort: high
  • confidence: good
~$661K est. incremental value
Reaches 2,900 players · 2% of the base

Most left after a host change or a failed payment

62%had a host change or failed payment 18%other lapsed players

Who
High-value players with no deposit in 90 days, outside any RG limit
Offer
A call from a named host, the payment issue fixed, and no bonus
Suggested vs observed Suggested Treated
HostsEmailSMS 20% holdout · 120d
01 / 04
The action plan

The plays that bring guests direct.

An example run for Aurora Air, a Neuralift demo brand: an international airline, briefed to grow direct bookings and new members. Four of its eight ranked actions are acquisition plays: step through them and the map lights up the segments each one reaches.

Read the segments by
Segments 14
Guests 1,933,000
On this lens booking_channel
  • OTA
  • Direct

Aurora Air, 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

Seed lookalikes from direct-booking families, not fare hunters

  • impact: high
  • effort: low
  • confidence: good
~6K est. guests who seed a lookalike that books direct
Reaches 120,000 guests · 6% of the base

A direct family is worth four fare hunters

$1,240a year per direct family $310per OTA fare hunter

Who
Direct-booking families and weekend extenders with extras on every trip
Offer
A lookalike seed for Meta and Google built from them, with OTA fare hunters left out
Suggested vs observed Suggested Treated
MetaGoogle 10% holdout · 90d
Action 02 of 08 Margin neutral

Bring OTA bookers direct on their second booking

  • impact: high
  • effort: low
  • confidence: good
~7.7K est. guests who book direct next time
Reaches 96,000 guests · 5% of the base

The second booking is where they switch

3×direct rebooking after a member fare 1×without

Who
Guests who booked through an OTA and flew in the last 60 days
Offer
Member fares after the trip, with seat selection free when they book direct
Suggested vs observed Suggested Treated
EmailApp push 15% holdout · 90d
Action 03 of 08 Margin neutral

Make first-time flyers members before their second trip

  • impact: high
  • effort: low
  • confidence: good
~6K est. guests who join Aurora Club and book again
Reaches 30,000 guests · 2% of the base

The second trip decides it

64%fly again once they've joined 22%if they don't

Who
Guests on their first Aurora flight who haven't joined the club
Offer
Join at check-in with this flight's points backdated, and a route they searched in the welcome email
Suggested vs observed Suggested Treated
App pushEmailCheck-in 15% holdout · 120d
Action 06 of 08 Margin neutral

Offer transit guests a stopover in the hub city

  • impact: medium
  • effort: medium
  • confidence: moderate
~1.6K est. guests who book a stopover trip
Reaches 26,000 guests · 1% of the base

They already spend hours at the hub

3.2 hon the ground at the hub 0.4 heveryone else

Who
Guests connecting through the hub on the way somewhere else
Offer
A free stopover of up to three nights in the hub city on their next booking
Suggested vs observed Suggested Treated
EmailMetasearchPartner airlines 10% holdout · 120d
01 / 04
Why it's different

Beyond the one-line seed.

Most lookalike seeds are a SQL filter: the top ten percent by deposits. That pulls in bonus churners and one-off whales, and the ad platform dutifully finds more of them. Neuralift seeds from the customers who are profitable over time, segment by segment, and refreshes the list every Reading.

A one-line seed

select player_id
from players
where deposits_90d > p90;
seed sizebonus churners
18,40034%
Big depositors, including the ones who leave after the bonus.

A Neuralift view

A seed built from segments

  • The new seed leaves out bonus churners and every player with responsible-gaming limits, so the platform learns from profitable players only.
  • Each segment can seed its own lookalike, so creative and offers match who you're actually finding.
Seed listsSuppressionLookalikesHoldouts An example view on the Nordvale Gaming demo run.

  • Find more of your best

    Lookalikes seeded from customers who are profitable over time, not from whoever deposited most last quarter.

  • Stop paying to acquire churners

    Suppress the bonus-led and one-off customers before they reach the seed, and keep vulnerable customers out entirely.

  • Win back on their calendar

    Reach lapsing customers when their own pattern says they're ready, with the thing they came for, not a blanket bonus.

Why it's different

Beyond the one-line seed.

Most lookalike seeds are a SQL filter: the top ten percent by bookings. That pulls in OTA fare hunters and one-off bookers, and the ad platform dutifully finds more of them. Neuralift seeds from the guests who are valuable over time, segment by segment, and refreshes the list every Reading.

A one-line seed

select guest_id
from bookings
where trips_12m >= 3;
seed sizeOTA bookers
212,00041%
Frequent bookers, including the ones who only ever come through an OTA.

A Neuralift view

A seed built from segments

  • The new seed leaves out OTA fare hunters, so the platform learns from guests who book direct and add extras.
  • Each segment can seed its own lookalike, so creative and offers match who you're actually finding.
Seed listsSuppressionLookalikesHoldouts An example view on the Aurora Air demo run.

  • Find more of your best

    Lookalikes seeded from guests who are valuable over time, not from whoever booked most last quarter.

  • Stop paying for OTA bookers

    Suppress the fare hunters who'll never book direct before they reach the seed.

  • Win back on their calendar

    Reach lapsing guests when their own pattern says they're ready, with the trip they came for, not a blanket sale.

Horizontal by design

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