Experiences
At ThumbsAd, we execute AI-driven digital marketing and ad operations across diverse verticals including E-commerce, Hospitality & Tourism, SaaS & Tech, Retail, and Gaming. Our methodology relies on a 360° integrated model that fuses SEO, Algorithmic Paid Media, Social Strategy, CRO, Generative Creative, and Advanced Analytics (GA4, GTM).
For more details, explore our AI Solutions page or meet our team on the Vision page.
Table of Contents
Sector Expertise
1) Hospitality & Tourism
- Key Challenges: Seasonal demand fluctuations, high competition, balancing brand vs. performance.
- AI Approach: Predictive meta-search bidding, automated brand protection, dynamic creative optimization for room types.
- Outcome: Increased direct booking ratio, reduced OTA dependency, brand safety compliance.
2) E-Commerce
- Key Challenges: Category-based ROAS targets, inventory management, feed health.
- AI Approach: Smart bidding (tROAS/tCPA), algorithmic product clustering, predictive lifecycle & win-back flows.
- Outcome: Higher add-to-cart & checkout initiation rates; improved AOV (Average Order Value); reduced return rates.
3) SaaS & Technology (B2B)
- Key Challenges: Lead quality, MQL to SQL conversion, long sales cycles.
- AI Approach: Problem-solution content funnels, automated lead scoring, hyper-targeted LinkedIn/Search integration.
- Outcome: Lower Cost Per MQL, increased pipeline velocity, clear multi-touch attribution visibility.
4) Retail & Home/Living
- Key Challenges: Offline-online integration (O2O), scaling during peak seasons, hyper-local targeting.
- AI Approach: Geo-predictive targeting, store traffic optimization campaigns, synced social & search signals.
- Outcome: Increased in-store footfall, surge in click-to-brick conversions, measurable brand lift.
5) Gaming & Digital Platforms
- Key Challenges: User Acquisition (UA) at scale, retention, LTV optimization.
- AI Approach: Cohort analysis, automated creative iteration, cross-border budget allocation algorithms.
- Outcome: Improved CAC/LTV ratio, increased Day-7 & Day-30 retention rates.
6) Healthcare & HealthTech
- Key Challenges: YMYL compliance, medical E-E-A-T standards, GDPR/KVKK compliance, lead quality.
- AI Approach: Expert-verified content streams; schema markup for Physicians/Clinics; Local SEO dominance; privacy-first campaign architecture; server-side tracking.
- Outcome: Enhanced organic visibility, high-intent patient leads (Lower CPL), improved call-to-appointment ratios.
Note: We strictly adhere to platform ad policies regarding medical claims and data privacy.
Case Studies
Case #1 – Luxury Hotel Group
Goal: Reduce OTA dependency and increase direct booking revenue.
Strategy: AI-driven brand search defense, meta-search optimization, dynamic package offers, high-visibility video discovery ads.
Result: Significant uplift in direct booking volume, stronger brand search dominance, improved ROAS.
Case #2 – E-Commerce (Home & Living)
Goal: Scale revenue while maintaining profitability during peak season.
Strategy: Automated feed optimization, category-based tROAS algorithms, rapid A/B testing of creative assets.
Result: Surge in cart additions, decreased return rates, surpassed category ROAS targets.
Case #3 – SaaS (B2B)
Goal: Increase qualified trial and demo requests.
Strategy: Full-funnel content strategy, predictive lead scoring, CRM & automation integration.
Result: Higher MQL-to-SQL conversion rate, faster pipeline velocity, reduced Customer Acquisition Cost (CAC).
Case #4 – Mobile Gaming Platform
Goal: Accelerate User Acquisition (UA) and improve retention.
Strategy: Country/Platform level automated testing, cohort-based LTV modeling, iterative creative generation.
Result: Increased retention in the first 30 days, optimized CAC/LTV balance, scalable budget model.
Case #5 – Healthcare Services
Goal: Generate high-quality appointments and improve call conversion.
Strategy: E-E-A-T focused content; Local SEO + Click-to-Call integration; compliance-safe ad structure; server-side measurement.
Result: Drop in CPL, increase in organic appointment requests, higher trust signals and review scores.
Note: These summaries are presented as examples. Specific brand data is shared in confidential meetings or with explicit permission.
How We Work (Methodology)
- Discovery & AI Audit: Deep dive into existing accounts, GA4/GTM data quality check, competitor & market analysis.
- Strategy & Modeling: Defining KPIs, building the budget model, channel allocation, and creative test roadmap.
- Execution: Technical SEO, campaign setup, pixel/event & feed configuration, UX/CRO adjustments.
- Measure & Optimize: Live GA4 dashboards, automated weekly summaries, hypothesis/test loops.
See our full scope on the AI Solutions page.
Frequently Asked Questions
Which metrics do you optimize for?
Depending on the sector, we focus on ROAS, CAC, LTV, Organic Visibility, Conversion Rate (CVR), and Core Web Vitals.
How does reporting work?
We provide transparency through live Looker Studio dashboards, weekly AI-generated summaries, and monthly deep-dive strategy calls.
How do you scale budgets?
We use a “Test → Learn → Scale” model. Using tROAS/tCPA bidding and creative testing, we scale budgets incrementally to manage risk while maximizing growth.
Let’s Engineer Your Success
Let’s discuss your targets in a short meeting. We will share a KPI-based roadmap within 5 business days. Contact Us Now →