
Google Ads, Meta Ads, LinkedIn Ads: Measured Conversions and Maximized ROAS
Are you spending thousands on advertising without clear results? 63% of advertising budgets are wasted due to poor targeting, weak creatives, and lack of optimization. Every euro invested without strategy is permanently lost.
At Genesis Digital Factory, we manage advertising campaigns that deliver measurable results: ROAS above 3–5x for e-commerce, cost per lead reduced by 40–60% through optimization, Google Quality Scores of 8–10 out of 10, and 100% accurate conversion tracking. With 20 years of digital expertise and more than 85,000 projects delivered, our ad campaigns are driven by real data, daily optimizations, and full ROI transparency.
Our online advertising approach combines data-driven strategy with precise audience targeting and high-intent keywords, high-performing creatives with systematic A/B testing, bulletproof tracking using GA4 and conversion attribution, and continuous optimizations across bids, audiences, creatives, and placements.
Google Ads across Search, Display, Shopping, and YouTube, Meta Ads on Facebook and Instagram, LinkedIn Ads for B2B lead generation, and TikTok Ads: we master all major platforms to maximize paid visibility and business conversions.



What we audit for existing accounts:
For new accounts:
Deliverable: Audit report, recommended ad strategy, and performance forecasts
What we configure:
Validation tests:
Without tracking, optimization is impossible and budgets are wasted.

Typical Google Ads structure:
Typical Meta Ads structure:
Creatives and A/B testing:

Launch phase:
Learning phases:

Daily optimizations:
Weekly optimizations:
Monthly optimizations:

Reported metrics:
Reporting formats:
Qualified lead generation for professional services, SaaS, consulting via forms, landing pages.
Ideal for: Agencies, SaaS, law/accounting firms, consulting, B2B training
Direct sales for online stores, Shopping campaigns, cart retargeting, promotions.
Ideal for: Physical products e-commerce, dropshipping, online retail, marketplaces
Brand awareness, massive reach, videos, impressions, top-of-mind target audiences.
Ideal for: Product launches, rebranding, new markets, funded scale-ups
Mobile app installations (iOS, Android), in-app engagement, user retargeting.
Ideal for: Mobile apps, games, mobile SaaS, app services (delivery, transport)
Physical store visits, phone calls, Google Maps directions, local promotions.
Ideal for: Restaurants, local shops, beauty/hair salons, garages, craftsmen
Event registrations, webinars, conferences, trade shows, concert/show ticketing.
Ideal for: Event organizers, associations, event agencies, concert halls
Minimum budget varies by platform and industry.
Google Ads (Search):
Meta Ads (Facebook/Instagram):
LinkedIn Ads (B2B):
TikTok Ads:
Why minimum budgets?
Learning phase:
Significant statistics:
Auction competition:
Our recommendation by objective:
Objective : Test ad viability
Minimum Budget : €500-800/month
Ideal : €1000-1500/month
Objective : Continuous lead generation
Minimum Budget : €1500-2500/month
Ideal : €3000-5000/month
Objective : E-commerce growth
Minimum Budget : €2000-4000/month
Ideal : €5000-15,000/month
Objective : B2B SaaS acquisition
Minimum Budget : €2500-5000/month
Ideal : €5000-20,000/month
Important: Ad budget ≠ our management fees (separate).
ROAS = Return On Ad Spend.
Formula: ROAS = Revenue generated from ads / Ad spend
Concrete examples:
E-commerce:
B2B Lead Generation:
ROAS vs ROI (difference):
ROAS = Revenue / Ad spend ONLY ROI = (Revenue - All Costs) / All Costs
Example:
ROAS measures campaign effectiveness. ROI measures overall business profitability.
Target ROAS by sector:
E-commerce physical products:
E-commerce high margins (services, digital):
B2B Lead Generation:
B2B SaaS:
Factors impacting ROAS:
Our approach: Target ROAS defined based on your business model (margins, LTV, objectives).
Both are complementary, not opposing.
Google Ads (Search): High intent
Advantages:
Disadvantages:
Ideal for:
Meta Ads (Facebook/Instagram): Discovery & Targeting
Advantages:
Disadvantages:
Ideal for:
Optimal combined strategy (recommended):
Full funnel:
E-commerce example:
Typical budget allocation:
Our recommendation by sector:
Sector : B2B Services
Priority : Google Ads + LinkedIn
Secondary : Meta (retargeting)
Sector : Fashion E-commerce
Priority : Meta Ads
Secondary : Google Shopping
Sector : B2B SaaS
Priority : LinkedIn + Google
Secondary : Meta (retargeting)
Sector : Local Services
Priority : Google Ads (local)
Secondary : Meta (proximity)
Sector : Mobile Apps
Priority : Meta + TikTok
Secondary : Google (UAC)
Why remarketing is critical:
Typical conversion rates:
Abandonment reasons:
Reduced costs:
Effective remarketing types:
Sequential remarketing (advanced):
Progressive messages based on engagement:
Day 1-3: "Did you forget something?" (specific product)
Day 4-7: "10% off to help you decide" (incentive)
Day 8-14: "Last chance! Limited stock" (urgency/scarcity)
Results vs single static remarketing message: +40-80% conversions
Critical exclusions:
DO NOT remarket:
Remarket:
Recommended remarketing budgets:
General rule: 20-40% total ad budget dedicated to remarketing
Example:
Remarketing ROI 3-5x prospecting = critical budget allocation.
Quality Score = Google's 1-10 rating on ads/keywords quality.
Direct impact on costs & positions:
Ad Rank (ad position) = Bid × Quality Score
Concrete example:
Advertiser : You
CPC Bid : €2
Quality Score : 9/10
Ad Rank : 18
Position : 1
Actual CPC : €1.20
Advertiser : Competitor A
CPC Bid : €3
Quality Score : 5/10
Ad Rank : 15
Position : 2
Actual CPC : €2.50
Advertiser : Competitor B
CPC Bid : €4
Quality Score : 4/10
Ad Rank : 16
Position : 3
Actual CPC : €3.20
Result: You're #1 with LOWEST bid thanks to high Quality Score, paying 40-70% less than competitors!
3 Quality Score Factors:
1. Expected CTR (40% weight):
Improvement:
2. Ad Relevance (30% weight):
Improvement:
3. Landing Page Experience (30% weight):
Improvement:
Quality Score impact on costs:
CPC vs Baseline Position vs Baseline
Quality Score : 10/10 -50% +100%
Quality Score : 9/10 -44% +75%
Quality Score : 8/10 -33% +50%
7/10 -20% +25%
6/10 -12% +10%
5/10 Baseline Baseline
4/10 +25% -25%
3/10 +67% -50%
2/10 +150% -75%
1/10 +400% -95%
Quality Score 3/10 vs 9/10 = you pay 3-4x more for same position!
________________________________________
Our Quality Score approach:
• Existing scores audit (keywords/ads)
• Ad groups restructuring (granular silos)
• Ad rewrites (optimized CTR, relevance)
• Created/optimized dedicated landing pages
• Weekly score monitoring
• Typical result: 5-6 → 8-9/10 (3-6 months)
Résultat : Vous êtes 1 avec bid le PLUS BAS grâce Quality Score élevé, et payez 40-70% moins cher que concurrents!
3 Facteurs Quality Score :
1. Expected CTR (40% poids) :
Amélioration :
2. Ad Relevance (30% poids) :
Amélioration :
3. Landing Page Experience (30% poids) :
Amélioration :
Impact Quality Score sur coûts :
Quality Score : 10/10
CPC vs Baseline : -50%
Position vs Baseline : +100%
Quality Score : 9/10
CPC vs Baseline : -44%
Position vs Baseline : +75%
Quality Score : 8/10
CPC vs Baseline : -33%
Position vs Baseline : +50%
Quality Score : 7/10
CPC vs Baseline : -20%
Position vs Baseline : +25%
Quality Score : 6/10
CPC vs Baseline : -12%
Position vs Baseline : +10%
Quality Score : 5/10
CPC vs Baseline : Baseline
Position vs Baseline : Baseline
Quality Score : 4/10
CPC vs Baseline : +25%
Position vs Baseline : -25%
Quality Score : 3/10
CPC vs Baseline : +67%
Position vs Baseline : -50%
Quality Score : 2/10
CPC vs Baseline : +150%
Position vs Baseline : -75%
Quality Score : 1/10
CPC vs Baseline : +400%
Position vs Baseline : -95%
Quality Score 3/10 vs 9/10 = vous payez 3-4x plus cher pour même position!
Notre approche Quality Score :
Tracking conversions = fondation campagnes ads optimisées.
Setup tracking complet (avant lancement campagnes) :
1. Pixels plateformes ads :
2. Google Analytics 4 :
3. Google Tag Manager :
Types conversions trackées :
E-commerce :
Lead Generation :
Engagement :
Attribution conversions (critique) :
Modèles attribution :
Last-click (défaut Google Ads) :
First-click :
Linear :
Time-decay :
Data-driven (GA4, recommandé) :
Parcours conversion typique e-commerce :
Jour 1 : Découverte via Facebook Ad (awareness) → Visite site
Jour 3 : Retour via Google Search branded → Visite site
Jour 5 : Clic email retargeting → Visite site
Jour 7 : Clic Meta remarketing → Achat
Crédit attribution (data-driven GA4) :
Last-click donnerait 100% Meta remarketing = méconnaissance contribution autres canaux.
Validation tracking (tests critiques) :
Tests pré-lancement :
Red flags (tracking cassé) :
Notre service tracking :
Garantie : Tracking 100% fonctionnel avant dépenser 1€ ads.
Timeline rentabilité varie selon secteur, concurrence, budget.
Phases campagnes ads typiques :
Phase 1 : Learning (Semaines 1-2)
Objectif : Accumulation données (50+ conversions Google/Meta)
Phase 2 : Optimisation initiale (Semaines 3-6)
Résultats : ROI commence positif (+10-50%)
Phase 3 : Performances stabilisées (Mois 2-3)
Résultats : ROI cible atteint (ROAS >3x typique)
Phase 4 : Scaling (Mois 4+)
Résultats : Croissance continue, ROI maintenu
Timeline par secteur (rentabilité) :
E-commerce (cycle achat court) :
Lead Gen B2B (cycle vente moyen) :
SaaS B2B (LTV long-terme) :
Services locaux (cycle court) :
Facteurs accélérant rentabilité :
Facteurs ralentissant :
Notre conseil clients :
Engagement minimum recommandé : 3 mois
Raisons :
Arrêter Mois 1-2 = interrompre learning, investissement perdu.
Tests <3 mois impossibles conclure efficacité réelle campagnes.
Comparaison objective.
GESTION INTERNE (équipe in-house) :
Avantages :
Inconvénients :
Coûts réels interne :
GESTION AGENCE (externalisée) :
Avantages :
Inconvénients :
Coûts agence typiques :
Modèle hybride (recommandé PME/scale-ups) :
Agence pour :
Interne pour :
Notre recommandation par taille entreprise :
Startup/PME (<10 employés) :
→ Agence 100% (pas ressources internes, expertise critique)
PME croissance (10-50 employés) :
→ Agence + référent interne (coordination, hybride)
Scale-up (50-200 employés) :
→ Équipe interne + agence conseil (autonomie + expertise externe)
Entreprise (200+ employés) :
→ Équipe interne complète (ressources suffisantes, contrôle total)
ROI agence vs interne (étude cas) :
Exemple PME 3K€ budget ads/mois :
Option A : Gestion interne débutant
Option B : Gestion agence experte
Différence : +26K€ en faveur agence (3 mois seulement)
Conclusion : Agence rentabilise honoraires par résultats supérieurs.