Non agence SEO / visibilité
Full-funnel attribution, high-cadence A/B tests, cohorts analysis, content engine, growth loops, ABM — your experimentation loops run in the background while you arbitrate acquisition strategy. Experiments ×3 at constant headcount + CAC dropping.
Growth in 2026 is a race for experimentation cadence: who can test more, conclude faster, scale what works, kill what doesn’t. The multiplier is AI + human orchestration.
Companies orchestrating AI + human run 3 to 4 times more experiments per month at constant headcount. Personalized outbound at scale, multi-format content engine, unified attribution, automated cohorts deep-dives: what took 1 week takes 1 day, with systematic human validation.
A senior Head of Growth at €110,000 loaded salary spends on average 55% of the week on operational tasks (briefs, analytics setup, experiment tracking, reporting) an AI workflow can absorb. That’s ~€60,000 of hidden cost per year on tasks not directly contributing to pipeline.
Experiment setup, clean attribution, sample size, continuous tracking, conclusion with significance: without tooling, you cap at 3-5 experiments/month. With AI orchestration, ×3 at constant effort.
Multiple touchpoints (paid, organic, referral, direct), debatable attribution models, Looker/Tableau dashboards taking 1h to load: budget decisions often taken by guesswork. AI unifies, deduplicates, suggests a lightweight MMM.
Analyze retention per acquisition cohort, identify high-LTV segments, detect churn patterns: 1 to 2 days/month spent in SQL or Amplitude. An AI workflow produces analysis + recommendation in 30 minutes.
Long-form article → 5 LinkedIn posts → 3 emails → 1 newsletter → 2 ad copies: 20-30h production per topic without AI. With AI content engine + human validation, 3-5h are enough.
Identify ICP, score prospects, personalize sequences, A/B test hooks, measure: without AI orchestration, you cap at 50-100 prospects/month personalized. With AI, you can handle 500-1,000 prospects/month without quality degradation.
Six workflows already deployed in SaaS scale-ups and marketplaces. Calibration on your stack and systematic human validation.
Prioritized experiment backlog (impact × confidence × ease), auto setup (Optimizely / VWO / GrowthBook / Statsig), continuous tracking, conclusion with significance, written recommendation. Cadence: 12-15 experiments/month instead of 4-5.
Segment + GA4 + HubSpot + Salesforce + Meta Ads + Google Ads + LinkedIn connectors. Deduplication, data-driven attribution, lightweight MMM for offline media if relevant. Single dashboard for budget decisions.
Retention analysis per acquisition cohort, segment, plan, geo. Churn pattern detection, alert on degradation. AI recommendations validated by you before action. Compatible Amplitude, Mixpanel, Heap, PostHog.
1 pillar topic → article + 5 LinkedIn posts + 3 emails + 1 newsletter + 2 ad copies + 1 video script. Tone calibrated on your existing content. Systematic validation before publication. Production ×5 at constant headcount.
Auto ICP scoring, 5-touch personalized sequences (LinkedIn + email), hook A/B testing, reply/meeting measurement. 500-1,000 prospects/month handled instead of 100. Compatible Outreach, Salesloft, Lemlist, Apollo.
Identify potential viral loops in your product (referral, content, network effect), rapid prototyping via AI, A/B test, viral coefficient measurement. For PLG SaaS: major organic booster.
Scaling acquisition is challenge #1 for a Head of Growth. Here are 4 workflows already deployed to multiply pipeline without exploding CAC.
Scan companies matching your ICP (Clay + LinkedIn Sales Nav + intent signals), scoring on 15 criteria (tech stack, growth stage, hiring patterns, recent funding), 5-touch personalized sequences with business context. 500-1,000 prospects/month instead of 100.
Identify top 100 target accounts, AI research on each account (strategic priorities, pain points, stakeholders), per-account personalized playbook. Coordinated Sales + Marketing touch. Top accounts conversion ×2-3 vs standard outbound.
Semantic silos on pillar search intents of your market. GEO optimization (citations in ChatGPT, Perplexity, Google AI Overviews). Article + social declensions + lead magnets. Qualified organic traffic at near-zero CAC, on 12-24 months.
Analysis of your CRM base: behavioral segmentation, enriched lookalikes, low-value exclusion, prospect scoring by predicted LTV. Output: more precise Paid audiences = CAC -15 to -30%, ROAS +20 to +40%.
Stéphane Jambu has practiced SEO and paid acquisition since 2009, after 10 years in e-commerce. 650+ clients served, 80 LinkedIn testimonials, 1,300+ semantic silos in production. Your growth workflows are calibrated by someone who has scaled acquisitions from zero to 7 figures.
Python + n8n + Claude / DeepSeek / OpenAI API. Segment, HubSpot, Salesforce, Amplitude, Mixpanel, Optimizely, Statsig, GrowthBook, Outreach, Salesloft, Apollo, Clay connectors. EU hosting (Hetzner). No no-code SaaS vanishing.
No outbound sent without senior review. No attribution decision without diff review. No experiment launched without written hypothesis. Your workflows respect your level of control.
No SaaS-dependency. We install a sovereign AI stack you own: your code, your prompts, your n8n workflows, your API keys, your product/CRM/analytics data. You keep full control. No lock-in: everything already belongs to you.
Diagnostic of your stack (CRM, analytics, experimentation, outbound, attribution). Identification of 3 highest-ROI workflows for your stage (PMF, early-scale, late-scale).
Building the first AI workflow (often: orchestrated experiments or AI outbound). API connectors, calibration, tests on 2-3 experiments or 200 real prospects.
Implementation of the two other prioritized workflows (e.g., unified attribution + auto cohorts). 2-iteration cycle with user feedback.
Final validation, pilot dashboard (experiment cadence, CAC, MQL→SQL, additional ARR), internal growth team training, deployment plan.
Estimate of monthly time freed by AI growth orchestration + monetary value.
Observed automation coefficients: 60% on experiments, 75% on attribution, 80% on content engine.
Estimate of additional ARR generated by AI acquisition workflows (outbound, ABM, audience modeling).
Hypothesis: AI outbound scale-up from 100 to 500-1,000 prospects/month personalized, Paid Ads audience modeling = CAC -20%, ABM = top accounts conversion ×2.
Free initial diagnostic. AI growth pilot from €2,900 if potential confirmed.
Live audit of your growth stack and potential estimate.
Setup of 3 priority AI workflows on your real data.
Additional workflows, advanced integration, growth team training.
Free diagnostic, remote, no commitment. We look at your stack (CRM, analytics, experimentation, outbound), maturity, and estimate the potential.
Book my free diagnostic