Skip to content

Paid Analytics

Numbers that matter - advanced analytics for profitable advertising decisions

What our students say

  • Their analytics setup revealed which campaigns were truly profitable. We went from 3x ROAS to 8x ROAS by reallocating budget based on their insights.

    Performance Marketing Director

  • After iOS 14.5 broke our tracking, their multi-touch attribution modeling restored our ability to optimize campaigns effectively. Game changer.

    Paid Media Manager

  • The analytics revealed we were wasting $200k annually on underperforming campaigns. Their optimization recommendations paid for themselves in the first month.

    Data Analytics Lead

  • The automated alerts and real-time dashboard allow us to optimize campaigns instantly. No more waiting days for performance reports.

    Marketing Operations Manager

  • The predictive analytics help us forecast campaign performance and budget needs accurately. We can now plan quarterly budgets with confidence.

    Growth Marketing Specialist

  • Finally understand how our Facebook, Google, and TikTok campaigns work together. The unified reporting shows the complete customer journey.

    Digital Marketing Director

Frequently Asked Questions

  • Which advertising platforms can you track and analyze?

    We track and analyze Google Ads, Facebook/Instagram Ads, LinkedIn Ads, TikTok Ads, Twitter Ads, Pinterest Ads, Snapchat Ads, and programmatic platforms with unified reporting.

  • How do you ensure accurate attribution across multiple touchpoints?

    We implement advanced attribution modeling, use UTM tracking, set up cross-device tracking, and employ statistical methods to accurately attribute conversions across the customer journey.

  • What's included in your paid analytics reporting?

    Our reports include performance metrics, trend analysis, competitive insights, optimization recommendations, budget allocation suggestions, and forecasting for strategic planning.

  • How do you handle iOS 14+ privacy changes and data limitations?

    We implement server-side tracking, use first-party data strategies, employ modeling techniques, and leverage platform-specific solutions to maintain measurement accuracy.

  • Can you integrate paid advertising data with our existing analytics?

    Yes, we integrate with Google Analytics, Adobe Analytics, CRM systems, and business intelligence tools to provide unified reporting and comprehensive performance insights.

  • How do you measure incrementality and true advertising impact?

    We conduct lift studies, geo-experiments, and holdout tests to measure the true incremental impact of advertising beyond what would have happened organically.

  • What automation do you provide for analytics and optimization?

    We set up automated bidding rules, performance alerts, budget reallocation triggers, and AI-driven optimization recommendations based on real-time performance data.

  • How do you handle complex B2B attribution with long sales cycles?

    We implement multi-touch attribution, track engagement scoring, integrate CRM data, and use statistical modeling to attribute value across extended B2B customer journeys.

  • What kind of competitive intelligence do you provide?

    We track competitor ad spend, creative strategies, audience targeting, keyword bidding, and market share changes to inform strategic positioning and opportunities.

  • How often do you review and optimize based on analytics insights?

    We monitor performance daily, conduct weekly optimization reviews, provide monthly strategic analysis, and quarterly deep-dive assessments for long-term planning.

Services Breakdown

PhaseKey Services Offered
Phase 1 (Analytics Foundation)
  • Paid advertising metrics & KPI hierarchy
  • Attribution models & conversion tracking setup
  • Platform-specific analytics configuration
  • Data accuracy validation & quality assurance
Phase 2 (Performance Measurement)
  • Cost per acquisition (CPA) optimization
  • Return on ad spend (ROAS) calculations
  • Lifetime value (LTV) & customer profitability
  • Impression share & competitive positioning
Phase 3 (Advanced Attribution)
  • Multi-touch attribution modeling
  • Cross-device & cross-platform tracking
  • Offline conversion integration
  • Incrementality testing & lift studies
Phase 4 (Campaign Analysis)
  • Creative performance analytics
  • Audience segment analysis & insights
  • Geographic & demographic performance
  • Time-based optimization & seasonality
Phase 5 (Predictive Analytics)
  • Forecasting & budget planning models
  • Bid optimization algorithms
  • Customer journey prediction
  • Automated reporting & alerts
Phase 6 (Strategic Intelligence)
  • Competitive analysis & market insights
  • Portfolio optimization across channels
  • Executive reporting & business intelligence
  • AI-driven recommendations & automation