AI that models your media mix,
not just your content calendar

10 Knowledge Workers engineered for performance marketing and brand strategy — from AARRR funnel analysis to media-mix modeling and incrementality testing. They understand ROAS, NRR decomposition, and Kapferer's Prism because that's how they were built to measure and optimize.

What These Agents
Actually Do

Brand Strategy & Architecture

Brand identity analysis using Kapferer's Prism and Aaker's Model. Brand equity measurement through Keller's pyramid from salience to resonance. Architecture evaluation across branded house, house of brands, and endorsed models with competitive positioning.

Content Analysis & Performance

Content Pareto analysis to identify the 20% driving 80% of results. Multi-touch attribution across five models. Content gap analysis against buyer journey stages with topic cluster mapping. SEO audit with keyword gaps and SERP opportunity mapping.

Growth Intelligence & Metrics

AARRR Pirate Metrics framework: Acquisition \u2192 Activation \u2192 Retention \u2192 Referral \u2192 Revenue. Cohort analysis with retention curves, churn prediction, and reactivation opportunity identification. LTV:CAC ratio analysis with payback period calculation and segment-level unit economics. NRR (Net Revenue Retention) decomposition into expansion, contraction, and churn components. Viral coefficient and network effects quantification. Growth accounting: new ARR + expansion ARR \u2212 contraction ARR \u2212 churned ARR = net new ARR.

Campaign Planning & Optimization

SMART objectives with measurable KPIs at each funnel stage. Channel mix optimization across paid, organic, and owned with budget allocation based on diminishing returns curves. A/B and multivariate testing at 95% statistical confidence.

Media Spend & ROI Analysis

Media-mix modeling for channel contribution analysis. ROAS at campaign, channel, and creative levels with incrementality testing to isolate true impact. Saturation curve modeling and budget reallocation based on marginal ROAS optimization.

How the Marketing Agents
Are Built Differently

Performance-Tuned
Retrieval

The marketing RAG profile runs at the lowest similarity threshold of any vertical (0.72) with the highest max expansions (4) — deliberately casting a wider net because marketing insights are scattered across campaign reports, analytics exports, creative briefs, and performance dashboards. Recency weighting at 0.25 is critical: last quarter's campaign data matters exponentially more than last year's. The system understands that “CPC” means cost per click, that “impression” means an ad view not a subjective opinion, and that “conversion” means a tracked action not a general improvement.

Marketing Frameworks
as Measurement Systems

The marketing taxonomy encodes IAB Content Taxonomy, TOFU/MOFU/BOFU funnel stages, Account-Based Marketing (ABM) tiers, and programmatic RTB (real-time bidding) concepts. These aren't labels — they're the classification systems the agents use to segment content, categorize campaign types, and structure attribution analysis. Measurement frameworks include Kapferer's Prism, AARRR, NRR decomposition, media-mix modeling methodology, and multi-touch attribution models. The agents don't just name these frameworks — they apply them to your data.

Guardrails Built
for Marketing

All PII is anonymized in analysis outputs — individual user data is never exposed in aggregate reports. Blocked language patterns include “guaranteed results,” “guaranteed ROI,” and unsubstantiated superlatives. FTC disclosure requirements, CAN-SPAM compliance, and GDPR consent requirements are enforced across all outputs. Competitive data is classified as confidential and cannot leak across client workspaces. If data confidence is below threshold, the agent flags sample size limitations explicitly rather than presenting directionally suggestive data as conclusive.

Your Marketing Team

10 Specialized Knowledge Workers

Marketing
Cy Brand Strategy & Research Agent

Cy Brand Strategy & Research Agent

AI Knowledge Worker

Marketing
Cy Content Analysis & Drafting Agent

Cy Content Analysis & Drafting Agent

AI Knowledge Worker

Marketing
Cy Growth Intelligence & Ops Agent

Cy Growth Intelligence & Ops Agent

AI Knowledge Worker

Marketing
Cy Positioning Analysis & Docs Agent

Cy Positioning Analysis & Docs Agent

AI Knowledge Worker

Marketing
Cy Performance Insights & Reporting Agent

Cy Performance Insights & Reporting Agent

AI Knowledge Worker

Marketing
Cy Trend Intelligence & Monitoring Agent

Cy Trend Intelligence & Monitoring Agent

AI Knowledge Worker

Marketing
Cy Segmentation Research & Output Agent

Cy Segmentation Research & Output Agent

AI Knowledge Worker

Marketing
Cy Campaign Planning & Optimization Agent

Cy Campaign Planning & Optimization Agent

AI Knowledge Worker

Marketing
Cy Media Spend & ROI Analysis Agent

Cy Media Spend & ROI Analysis Agent

AI Knowledge Worker

Marketing
Cy Customer Journey & Conversion Insights Agent

Cy Customer Journey & Conversion Insights Agent

AI Knowledge Worker

Specialized for Marketing

Turn data into growth. Your AI marketing team optimizes campaigns, tracks performance, and identifies opportunities—so every dollar works harder.

Marketing intelligence
that measures what matters

From media-mix modeling to NRR decomposition, Cyrenza's marketing agents analyze performance the way a growth team with a data science budget does — with the attribution models, incrementality testing, and statistical rigor your CMO expects.

Optimizing campaign performance metrics

Working now...