Case Studies: AI-Driven Marketing Success with Lemon AI

Case

IndustryAll

#ecommerce

Retail company

25M+

installs

650K+

MAU

Android, iOS

Platform

MENA

GEO

Google Ads, Meta Ads

Source

$700K+ monthly

Ad Budget

Challenge

Low LTV, retention, and AOV despite wide product range

Goal

Optimize campaigns for high-value audiences
Encourage repeat purchases
Develop predictive dynamic offers

Actions

Analyzed Adjust and AWS data, identified patterns and segments, trained a model to predict buying habits and churn, and optimized UA and retention strategies
Implemented personalized product recommendations based on purchase history and user behavior patterns
Targeted users with top 35% LTV within 60 days, and users with 3 + purchases within 30 days post- installation
After 3 months, CAC was cut by 17.9%

Result

+35%

+17%

Retention

+42%

+33%

AOV over 5 months

+49%

+32%

LTV on Day 60

#ecommerce

Online pharmacy

3.2M+

installs

220K+

MAU

Android, iOS

Platform

Europe

GEO

Google Ads, Meta Ads

Source

$165k+ monthly

Ad Budget

Challenge

Over 50% of users made 1 or 0 orders

Goal

Boost LTV and AOV
Reach benchmark: minimum 3 orders over 4 months

Actions

Identified user segment likely to order medications online
Tailored optimization strategies for users with over 3 orders in 4 months, raised CPA limit
Monitored peak ordering periods and products among users, increased ads accordingly, and prioritized showing frequently ordered medications

Result

+22.2%

+23.8%

Purchase Frequency

+26.9%

+19.7%

ROAS

#ecommerce

Home appliances

40K+

average monthly sessions

WEB

Platform

MENA

GEO

Google Ads, Meta Ads

Source

$90k+ monthly

Ad Budget

Challenge

45% of total orders were abandoned

Goal

Increase LTV and AOV
Reach benchmark: 75% paid orders

Actions

Consolidated fragmented data across Google BigQuery and internal systems
Focused on day180 LTV, targeted users with high purchase frequency
Predicted offline purchases with online signups
Optimized targeting, boosted orders within the first three months, helped the client to expand into a new market

Result

+22.2%

Purchase Frequency

+28%

LTV of 6 months

#gaming

Casual games

5M+

installs

725K+

MAU

Android, iOS

Platform

Europe, MENA, APAC

GEO

Google Ads, Meta Ads

Source

$100k+ monthly

Ad Budget

Challenge

Maximize revenue across different locations while balancing user experience and engagement

Goal

Increase ROAS and ad revenue for a game with hybrid monetization (80% ad revenue, 20% in-app purchases)

Actions

Trained and integrated a model in 8 days
Predicted Top 10%, 20%, and 30% players by revenuey
Created custom event for players who reached "level 10" and spent 200 "diamonds

Result

+25%

higher efficiency achieved with Lemon AI during trial month

+42%

+37%

ROAS

+28%

+16,5%

Ad revenue

#gaming

Action games

550K+

installs

90K+

MAU

Android, iOS

Platform

NA, LatAm, Europe

GEO

Google Ads, Meta Ads, Unity Ads

Source

$55k+ monthly

Ad Budget

Challenge

Trouble identifying and attracting high-value users who engage long-term and make in-app purchases

Goal

Maximize ROAS
Minimize CAC

Actions

Integrated Adjust, Firebase, and devtodev for comprehensive user data collection and analysis (app installs, in-app purchases, session durations, engagement metrics)
Predicted Top 10% and Top 50% players by LTV, launched several campaigns
Identified the best marketing mix and optimized ad budget allocation in North America, Europe, and LatAm markets as 54%:32%:14%.

Result

+31%

+24%

LTV on Day 30

+24%

+18%

Retention on Day 14

+28%

+16,5%

Ad revenue

#finance

Online bank

1.2M+

installs

355K+

MAU

Android, iOS, Web

Platform

MENA, APAC

GEO

Google Ads, Meta Ads

Source

$125K+ monthly

Ad Budget

Challenge

Low LTV, retention, and opened credit products

Goal

Increase LTV
Predict high-value users
Improve engagement strategies

Actions

Launched segment-specific ad campaigns, offering targeted benefits (e.g. rewards points and cash back incentives)
Implemented Dynamic Ad Creative Testing and optimized campaign performance.

Result

+14%

Number of cash loans in MENA (web)

-26%

Amount of overdue debt in MENA (web)

+34%

+29%

LTV on Day 30 (APAC)

+22%

+19%

New cards with first transaction within 7 days (APAC)

#finance

Personal financial advice app

560K+

installs

180K+

MAU

iOS

Platform

Europe

GEO

Meta Ads

Source

$50K+ monthly

Ad Budget

Challenge

Low LTV, retention, and AOV despite wide product range

Goal

Boost free trial conversion rate

Actions

Trained model in 4 days
Identified effective paywall options based on user behavior
Defined diverse user segments, created personalized retargeting campaigns

Result

+22%

LTV on Day 90

+27%

Free trial conversion rate

#beauty

Perfume by subscription

1.8M+

installs

100K+

MAU

iOS

Platform

USA

GEO

Google Ads, Meta Ads, TikTok Ads

Source

$345K+ monthly

Ad Budget

Challenge

High churn rate: ~35% of users canceled subscriptions within 2 months

Goal

Attract users with over 4 months lifetime
Decrease CAC

Actions

Identified products that significantly prolonged subscriptions
Tracked popularity of various products across different US states, tailored subscription content for each region
Optimized campaigns for users likely to subscribe for over 4 months

Result

+22.5%

Retention

+31.2%

ROI

+17.2%

LTV on Day 90

#fashion

Online clothing store

15M+

installs

100K+

MAU

Android, iOS, web

Platform

MENA

GEO

Google Ads, Meta Ads, TikTok Ads

Source

$310K+ monthly

Ad Budget

Challenge

Trouble with customer loyalty: 45% of purchasers did not return within six months

Goal

Increase purchase frequencies and AOV
Acquire users who make 2+ purchases in 3 months

Actions

Linked users across platforms, identified shared behavioral patterns (e.g. adding items to cart on the app, completing purchase on the website – or vice versa)
Targeted users with 1+ purchase per month, and users with Top 25% LTV on Day 90
Introduced prediction for rejection rate

Result

14.3%

increased purchases

+34.9%

+19.8%

Purchase Frequency

+33.4%

+24.9%

LTV on Day 60

#delivery

Food delivery apps

1.7M+

installs

349K+

MAU

Android, iOS

Platform

MENA

GEO

Google Ads, Meta Ads, TikTok Ads

Source

$145K+ monthly

Ad Budget

Challenge

Trouble expanding market share despite high-quality services and user-friendly apps

Goal

Maximize retention and AOV

Actions

Trained and integrated model in 9 days
Optimized campaigns for user segments with Top 10%, 25% and 50% LTV on Day 30
Developed personalized predictive recommendations for the mobile app, enhanced user experience to encourage repeat purchases
Iteratively optimized marketing mix in all countries

Result

140+

hours saved monthly for product and analytics teams

+34.2%

+22%

LTV on Day 30

+22.5%

+14.1%

Retention on Day 14

#delivery

Delivery app B2C & B2B

3.9M+

installs

420K

MAU

Android, iOS, web

Platform

US, Europe

GEO

Google Ads, Meta Ads

Source

$260K+ monthly

Ad Budget

Challenge

Trouble identifying and attracting high-value users who engage long-term and make in-app purchases

Goal

Maximize ROAS
Minimize CAC

Actions

Trained model to predict users with higher order frequency and order value
Developed predictive model for couriers
Optimized campaigns for user segments with Top 15% and 50% LTV on Day 90
Optimized web page for couriers seeking full- time employment
Created solid foundation for scalable growth, enabling expansion to three new countries while retaining competitiveness

Result

-34.7%

CAC

+48.8%

Employment conversion

+57.7%

+31.7%

LTV on Day 90

+23.8%

Order frequency on Day 90

#travel

Taxi app

100M+

installs

8.2M+

MAU

Android, iOS

Platform

MENA

GEO

Google Ads, Meta Ads

Source

$2.1M+ monthly

Ad Budget

Challenge

Trouble tracking on iOS devices, with the first trip often occurring 24 hours post-installation

Goal

Enhance user engagement
Increase purchase frequency Optimize marketing spend

Actions

Set up predictive dashboard In 9 days, including purchase frequency, preferred routes, and peak usage times
Predicted iOS user values with 70% accuracy within 30 seconds
Increased conversion to first ride by 39%
Optimized campaigns for first order and predictive event (3+ rides on Day 14)
Targeted users with Top 30% LTV on Day 30

Result

+32%

purchase frequency on Week 3

-7%

cost per install

+38.2%

+27.8%

Purchase frequency

+26.2%

+19.7%

LTV

#travel

Individual tours

210K+

monthly visits

WEB

Platform

USA

GEO

Google Ads, Meta Ads

Source

$90K+ monthly

Ad Budget

Challenge

Low order conversion rate and AOV

Goal

Enhance customer engagement
Increase order frequency and LTV

Actions

Integrated BigQuery in 2 days, trained model in 15 days predicting customers with 93% accuracy
Optimized campaigns, reached CAC benchmark by Week 3
Streamlined tour request forms and enhanced operational efficiency

Result

+42%

processed requests per manager

+62.7%

LTV

-37.2%

CAC

#lifestyle

Dating subscription app

55M+

monthly visits

2.4M+

MAU

Android, iOS, WEB

Platform

MENA, Europe

GEO

Google Ads, Meta Ads, TikTok Ads

Source

$380K+ monthly

Ad Budget

Challenge

Low retention and stagnant LTV
Competition running large-scale ad campaigns

Goal

Quickly boost customer loyalty, engagement, and retention
Maximize revenue

Actions

Integrated data from Appsflyer and proprietary solution in 6 days
Found direct correlation between chat message frequency and LTV, improved accuracy of revenue prediction
Targeted users with Top 30% LTV on Day 90, and users with top 20% Ad Revenue on Day 30
Streamlined A/ B testing across channels, predicted ad campaign revenue on Day 90

Result

-37%

inefficient budget allocation reduced

140

hours saved per week on analytical tasks

+34%

+24%

Retention

+37%

+22%

Ad Revenue on Day 30

#lifestyle

Fitness & yoga apps

500K+

monthly visits

90K+

MAU

iOS

Platform

USA

GEO

Google Ads, Meta Ads

Source

$25K+ monthly

Ad Budget

Challenge

Low trial conversion rate

Goal

Increase trial conversion rate

Actions

Trained and integrated model in 3 days
Predicted LTVs(3 and 12 months)
Identified the best paywalls and their display times

Result

+29%

higher efficiency achieved by Lemon AI

110%

increased budget for ad campaigns optimized by Lemon AI in 3 months

+47%

LTV growth

+24,7%

increased trial conversion

#media

Engaging digital content (news & sports)

540K+

installs

Web (35%) + Mobile (Android) 65%

Platform

Europe

GEO

Google Ads, Meta Ads

Source

$70K+ monthly

Ad Budget

Challenge

Stagnant retention
Low engagement
Trouble acquiring and retaining users

Goal

Increase number of paid subscribers with CAC benchmark
Low engagement
Trouble acquiring and retaining users

Actions

Set up unprecedented raw data collection from Google Analytics and Firebase in 35 days
Predicted content consumption patterns, likelihood of subscription, and churn
Launched targeted marketing campaigns to increase retention

Result

-24%

cut analytics costs

+20

hours saved monthly for the UA team

+23%

+41%

Paid subscribers

+19.5%

+35.2%

Retention on Day 30