Real ROI from Real Companies

Online fashion retailer with $10,000/month ad spend struggling with rising CPA on Facebook Ads.

Rapidly increasing Facebook CPA with broad targeting. $10,000/month ad spend with declining ROAS.

Used ALITA Social Segmentation to build audiences from competitor Facebook Groups. Deployed behavioral audience directly to Facebook Ads.

CPA dropped from $12 to $7.44. ROAS went from 2.1x to 3.2x. Monthly ad spend dropped to $6,200 hitting same revenue targets.

Technology startup with 2-3% cold outreach reply rate. No effective way to identify in-market prospects.

Low cold outreach reply rates (2-3%). No effective way to identify in-market prospects or personalize at scale.

Used AI Persona Insight to understand prospect behavior. Enriched 15,000+ leads with social context through Data Enrichment API.

Cold email reply rate improved to 8-12%. CPL dropped from $45 to $28. Pipeline quality improved significantly with pre-qualified leads.

Property agency struggling to find high-intent buyers using traditional Facebook targeting.

Struggling to find high-intent property buyers on Facebook. No Zalo targeting capabilities with existing tools.

Built behavioral segments from real estate interest groups and exported to both Facebook and Zalo channels simultaneously.

Lead volume doubled with multi-channel approach. Cost per lead dropped 30% through better targeting precision on both platforms.

Language training school with seasonal enrollment challenges and high cost per enrollment on Facebook.

Seasonal enrollment with high cost per lead. Broad targeting wasted budget on audiences with no interest in language learning.

Segmented parents and young professionals from education-interest Facebook Groups. Ran multi-channel campaigns on Facebook and Zalo.

Enrollment rate increased 85% during off-peak season. Cost per enrollment reduced by 42%. Zalo messaging achieved 67% read rate.

Multi-location restaurant chain looking to drive foot traffic and delivery orders through geo-targeted campaigns.

Generic geo-targeting on Facebook reaching people with no dining-out behavior. High cost per store visit with poor conversion.

Built food-enthusiast segments from F&B Groups. Combined with location data to run hyper-targeted SMS and Facebook campaigns near each store.

Store visits up 65% across 5 locations. SMS campaigns achieved 72% open rate. Monthly marketing budget reduced by $2,100.

Financial services firm with high-cost lead acquisition and strict compliance requirements for digital advertising.

Expensive lead acquisition ($85+/lead). High percentage of unqualified prospects. Strict compliance requirements limiting ad platforms.

Used B2B Lead Builder with financial behavior filters. AI Persona Insight identified high-net-worth individuals actively researching insurance products.

Cost per qualified lead dropped from $85 to $42. Lead quality score improved 90%. Annual savings of $144,000 in marketing spend.