STRATEGIC TECHNOLOGY AUDIT

AI MARKETING READINESS
BENCHMARK.

Execution capability is the primary reason AI initiatives fail. Use this 20-point objective audit to identify if your foundation is ready to scale or requires fundamental repair.

01 Data Integrity

CRM and GA4 revenue data match within a 5% margin. Tracking pixels are verified and firing on all high-intent conversion pages. Data attribution logic is documented and applied to all paid channels. Reports are generated automatically without manual CSV cleaning.

02 Customer Understanding

Customer Lifecycle stages (Lead, MQL, SQL) are defined by behavioral triggers. Segmentation is based on purchase history rather than generic demographic assumptions. Churn prediction metrics are identified and tracked monthly. Zero-party data (surveys/preferences) is integrated into the central CRM.

03 Technology Stack

Tools are integrated via API/Native connectors, not manual data entry. A "Single Source of Truth" dashboard exists for the leadership team. Redundant or disconnected SaaS tools have been audited and removed. The current tech stack supports real-time data syncing.

04 Execution Capability

Teams have clear SOPs for implementing and testing AI prompts. There is a designated owner for data quality within the marketing team. Workflow automation replaces at least 20% of manual administrative tasks. The team has completed formal training on LLM prompting or AI tools.

05 Measurement System

Primary KPIs focus on Revenue and LTV over Clicks and Impressions. CAC (Customer Acquisition Cost) is calculated accurately by channel. Marketing spend is reallocated monthly based on conversion performance. The business tracks "Time to Value" for new customer acquisitions.

AI MARKETING READINESS
BENCHMARK.

Interpretation & Findings

READY TO FIX THE GAPS?

AI MARKETING READINESS BENCHMARK.

Interpretation & Findings

READY TO FIX THE GAPS?

AI MARKETING READINESS
BENCHMARK.