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Hiring proof · Lifecycle marketing & retention

I design lifecycle systems that respond to behavior, not calendar pressure.

Behavioral segmentation, onboarding, activation, personalization, engagement, expansion, retention, and reactivation built around what customers actually do.

Evidence in one sentenceThe evidence includes segmented nurture at SVB, CDP-led personalization at NRG, and 50+ founder-run onboarding, activation, and retention experiments at Jobsolv.

The operating surface

One journey. One accountable system.

  1. 01Consider
  2. 02Onboard
  3. 03Activate
  4. 04Engage
  5. 05Expand
  6. 06Retain
  7. 07Reactivate
Selected evidence

What I owned, what changed, and how I know.

01
Nurture system · Silicon Valley Bank

The journey changed by industry and fundraising stage—not by a generic send calendar.

I built a five-email nurture flow with up to ten variants, using startup stage and industry to make the content more relevant. A surviving Spark newsletter artifact is visible in the case study. This page uses the system and source artifact as evidence, not the unresolved outcome claims.

See the nurture artifact
02
Behavioral personalization · NRG Energy

Segmentation became a treatment customers could actually experience.

I combined Tealium CDP segmentation with Optimizely delivery to change the experience for identifiable behavioral groups. The work connected audience definition, treatment logic, experiment design, and a revenue-path outcome rather than stopping at segment creation.

Inspect the personalization evidence
03
Product lifecycle · Jobsolv

Activation was treated as a behavior to validate, not a welcome-email metric.

Founder analytics associated first-session resume tailoring with stronger retention, so it became an activation hypothesis. I ran 50+ growth experiments across onboarding, activation, and retention, ending readouts with scale, stop, or learn rather than a vanity win rate.

Review the lifecycle decisions
How I operate

The repeatable moves behind the outcomes.

  1. 01

    Define the behavior

    Specify what an activated, engaged, at-risk, expanding, or dormant customer actually does.

  2. 02

    Segment for action

    Create groups only when the experience, message, timing, or offer should change.

  3. 03

    Trigger the journey

    Use behavior and lifecycle state to decide who receives what and when.

  4. 04

    Measure customer value

    Read conversion beside retention, expansion, satisfaction, and intervention cost.

AI-native execution

The proof is in the systems built.

AI increases delivery leverage. It does not replace the evidence standard.

01

Variation with controls

AI can accelerate message and treatment exploration, but approved evidence, brand rules, and experiment design constrain the output.

Structured content and product workflows with validation gates
02

Behavior summarized into decisions

Models help synthesize journey signals and surface patterns; analysts still define the cohort, denominator, and decision threshold.

Experiment analysis, journey review, and executive readouts
03

Personalization without false causality

When AI, segmentation, content, and delivery ship as a bundle, I report the bundle—not an invented claim that the model caused the lift.

NRG CDP and experimentation treatment
Role alignment

Where this evidence is most useful.

The strongest evidence is in onboarding, activation, segmentation, personalization, nurture, upsell, and retention experimentation. I do not extend it into unsupported ownership of subscription billing recovery or cancellation programs.

  • Lifecycle Marketing Lead
  • CRM or Retention Marketing Lead
  • Director of Lifecycle Growth
  • Customer Journey or Personalization Lead
  • Growth Product Manager, Activation & Retention
Hiring conversation

Need someone to own this system—not another channel report?

Share the remit, decision rights, and outcome you need this role to own.

Discuss role alignment