Hire Head of Lifecycle Marketing — journeys built and run daily

I'm Omer Muneer Qazi, a Dubai-based Fractional CTO & Solutions Architect with 15+ years of experience and 100+ projects delivered across 6 countries. I vet lifecycle operators on platform mastery and testing discipline — reviewing journeys they have actually built, not decks about journeys. For strategic lifecycle ownership, see lifecycle marketing director.

When you hire a head of lifecycle marketing, the first thing I build is rarely a campaign. It is the event taxonomy and data model that everything downstream depends on. I map the handful of behaviours that actually predict activation, expansion and churn, then define them once as clean, versioned events flowing from your product and billing systems into the ESP through Segment or RudderStack. Most teams skip this and wire triggers off whatever events the developers happened to name, so journeys fire on 'button_clicked' instead of 'first value reached'. Get the model right and every flow, segment and report built on top of it stays honest. Get it wrong and you spend a year debugging why the numbers never reconcile.

The second foundation nobody interviews for is deliverability, and it is where I find the most buried revenue. Beautiful journeys are worthless if they land in spam. I audit authentication (SPF, DKIM and DMARC), warm dedicated IPs or subdomains properly, and watch Google Postmaster Tools and Validity for reputation drift. I build sunset policies so disengaged contacts are suppressed before they tank your inbox placement, and I separate marketing and transactional streams so a promotional blast can never jeopardise password resets. On one audit the fix was not a new flow at all; it was pruning a bloated send list that had quietly dropped the sender into the spam folder. Inbox placement, not opens, is the real top of this funnel.

On top of clean data and a healthy sender, I design the segmentation and lifecycle-stage model that decides who hears what and when. I prefer behavioural and RFM-based segments over static demographics, and I use predictive scores (native in Braze or Klaviyo, or modelled in the warehouse) to prioritise likely churners and high-intent buyers. The decisions that matter are frequency capping and suppression logic: how many messages a person can receive in a week, which channel takes priority, and when to go quiet. Over-messaging is the single most common mistake I inherit. 'Good' looks like a contactable, engaged base that trusts your sends, not a vanity list of a million addresses, half of which have stopped opening.

Finally, I make the function accountable to incremental revenue rather than attributed opens and clicks. I hold out a randomised control group from major journeys so we can prove what the programme actually caused, not what it took credit for. I model lifecycle revenue in the warehouse (Snowflake or BigQuery), with Hightouch or Census pushing audiences back to the ESP, and surface it in Looker or Metabase so finance and I read the same number. The mistake I fix most often is a CRM team reporting last-touch revenue that would have happened anyway. When you hire a head of lifecycle marketing who insists on holdouts, you stop paying for motion and start paying for lift.