Marketing interview prep.

Sounds like someone who has run marketing across a streaming service or a broadcaster, sat at the commercial table with the CFO + Chief Content Officer + Head of Distribution to defend a quarterly content + marketing calendar, owned a tentpole title launch that delivered measurable subscriber...

What interviewers look for

  • Does the candidate think like a commercial marketer, tentpoles + campaigns tied to gross adds + churn + net adds + ARPU, or like a brand-only marketer who hides from the subscriber P+L?
  • Can the candidate decompose subscriber economics. SAC by channel, LTV by tier, payback period, churn by cohort, and defend the right brand-versus-performance posture?
  • Does the candidate run title + content marketing as a system, release calendar, awareness + intent + sign-up, hours viewed + completion, not as one-off campaigns?
  • Can the candidate manage the SVOD + ad-tier + bundle + FAST mix and articulate where each tier fits the audience + the unit economics?
  • Has the candidate owned a tentpole launch end-to-end, creative, paid, owned + earned, talent + premiere, partner, with measurable subscriber + viewing contribution?
  • Can the candidate run churn + retention as a discipline, lifecycle automation, save desk, content-recommendation, ad-tier downgrade, winback, not just as cancellations to absorb?
  • Does the candidate defend a marketing budget under CFO + board scrutiny. SAC by channel, incrementality, the brand-versus-performance split, without retreating to soft metrics?

Behavioural questions to expect

  1. Walk me through your CV.

    What it tests: Story coherence and conviction. Whether the candidate has a deliberate path to the streaming or broadcast marketing seat (brand-side → title marketing → subscriber growth → VP / Head-of) or has backed into it via agency, consumer-tech, or non-media detour. Interviewers screen out candidates who sound reactive ('I happened to end up in streaming').

  2. Walk me through your most impressive title launch, subscriber-growth programme, or marketing-led commercial decision.

    What it tests: Depth of ownership and willingness to take a view on a specific marketing decision. Whether the candidate can move from reciting campaign mechanics to articulating a contrarian or nuanced takeaway on channel sequencing, creative strategy, or the brand-vs-performance trade-off.

  3. Tell me about a weakness, a failure, or feedback you have received and worked on.

    What it tests: Self-awareness plus the ability to take a real critique without deflecting plus evidence of improvement. Fake weaknesses (perfectionist, works-too-hard) downgrade immediately. Streaming + broadcast marketing leads sit at the subscriber-growth table; the CFO + Chief Content Officer want marketers who absorb pushback from finance, content, and distribution without going defensive.

  4. Why a streaming or broadcast marketing seat, and why this category specifically?

    What it tests: Authentic interest in the streaming + broadcast marketing craft vs. cycling through consumer-tech, agency, or CPG recruiting. Interviewers can tell within 30 seconds whether the candidate has actually thought about why streaming vs. consumer-app marketing or agency-brand work.

  5. Why the sector, what is your point of view on this service or network type from a marketing lens?

    What it tests: Whether the candidate understands the structural marketing differences across service types (SVOD pure-play vs. hybrid SVOD+AVOD vs. FAST aggregator vs. broadcaster-with-streaming vs. premium prestige) and has a reasoned preference. Each type has a distinct subscriber-economics model, content rhythm, and audience-data posture.

  6. Why this firm?

    What it tests: Whether the candidate has done the homework. Interviewers spot a generic 'great content' or 'great brand' answer instantly, they hear it five times a week.

  7. What is your read on this firm's brand story and how it shows up across the subscriber journey?

    What it tests: Brand literacy, can the candidate articulate the service's positioning (slate identity, talent, genre strength, cultural moment), and show how it ladders from awareness to free-trial / sign-up to first stream to retention to advocacy.

  8. If you had this firm's last-12-month subscriber-growth picture in front of you, walk me through how you would diagnose channel mix + SAC + churn.

    What it tests: Whether the candidate has a structured subscriber-growth diagnostic and reads the public reporting (gross adds, net adds, churn, ARPU, ad-tier ramp, bundle attribution) the way an experienced Head of Subscriber Growth would.

Technical concepts to master

Brand + service positioning, codes, content, and consistency

Service positioning sentence
The single sentence that defines what the service is, who it is for, and what it promises, the foundation for every campaign, landing page, and trailer.
Slate identity + signature franchises
The 3-5 non-negotiable slate + franchise signatures the service protects: flagship original series, recurring talent, signature genre claim, library asset, sports + live anchor.
Brand vs. service-utility positioning
The deliberate balance between brand-equity marketing (cultural relevance, storytelling, talent) and service-utility marketing (price, tier, breadth, value).
Competitive-set framing
The peer set the service benchmarks against on demand index + share of streaming time + price + audience, and the set the candidate uses to frame brand differentiation.

Title marketing + release windowing, the slate as a campaign system

Tentpole launch architecture
The 8-12 week tentpole launch arc, early-tease (T-12), trailer drop (T-8), creator + critic + earned (T-6), paid + OOH + linear cross-promo (T-4 to T+2), premiere + talent + PR (T-1 to T+0), post-launch retention + sequel + spin-off prompts (T+0 to T+8).
Release windowing + drop cadence
The deliberate decision on binge-all-at-once vs. weekly episodic vs. mid-season pause vs. dual-window (binge first half, weekly second half), each pattern shapes the gross-add + churn curve differently.
Talent + premiere + earned-media playbook
The deliberate use of talent appearances, premiere events, press tours, creator + critic outreach, and earned media to drive cultural conversation around a tentpole.
Always-on slate marketing
The continuous always-on programme between tentpoles, returner premieres, mid-season hits, library promotion, recommendation + personalisation prompts, lifecycle + email + push.

Subscriber acquisition + retention + churn, the always-on engine

Free-trial + offer architecture
The deliberate use of free-trial (7-30 days), promotional pricing, and bundle offers as acquisition levers, paired with onboarding to maximise free-trial-to-paid conversion.
Lifecycle + CRM automation
Trigger-based email + push + in-app journeys spanning welcome, first-stream, episode-2 prompt, near-end-of-season prompt, near-anniversary prompt, dormant reactivation, winback.
Save desk + tier downgrade
Structured save-flow at cancel-intent: offer tier-downgrade to ad-tier, retention-offer pause, content-led save (next tentpole, recommendation), winback discount; managed by lifecycle + customer-support handover.
Winback + re-acquisition
Programmes targeting recently-cancelled users with a tentpole-prompted re-acquisition offer; canonical pattern is 30-90 day windows with a content + offer trigger.

Measurement + attribution + audience data, the discipline backbone

Attribution model
The agreed model for assigning credit across paid + owned + earned + linear + connected-TV touchpoints, last-click, multi-touch, time-decay, or media-mix modelling at the service level.
Incrementality testing
Holdout + matched-market tests that measure the true incremental gross adds + viewing contribution of a campaign vs. organic + baseline demand.
Audience segmentation + CDP
Segmentation framework that powers personalised acquisition + lifecycle + recommendation, segments by genre affinity, tenure, churn-risk, ad-tier eligibility, recency-frequency.
Brand-search lift + organic-add tracking
Continuous tracking of brand + slate paid + organic search volume + organic sign-up share as a leading indicator of brand-investment ROI.

Practical drills

  • Your service's subscriber mix last quarter: paid search (brand) delivers 22% of gross adds at $14 SAC, paid search (non-brand) 14% at $48 SAC, paid social 28% at $32 SAC, connected-TV 12% at $55 SAC, bundle + partner 16% at $9 SAC (revenue-share assumed), organic + brand-search 8% at $0 SAC. Blended ARPU is $11/month; SVOD ad-free is $14 (60% of base) and SVOD-with-ads is $7 (40%); monthly churn 5.5%. Walk me through: (a) blended SAC + payback period, (b) the marginal channel for the next $4M of paid spend, (c) the implication of moving ad-tier mix from 40% to 50%.
  • You are VP Marketing at a hybrid SVOD + AVOD service. The flagship returning original season 3 launches in 12 weeks. Seasons 1 + 2 averaged 3.2M gross adds in the 60-day post-launch window; the CCO has signalled this season is the strongest yet. The CFO wants gross adds of 4M+ in the 60-day window, a 30% bump from prior seasons. Walk me through the 12-week launch arc.
  • You are taking over marketing for this firm. Last 12 months: monthly churn 5.8%, blended ARPU $10.20, gross adds 850K/month, net adds 50K/month (gross adds 850K minus churn 800K from a 14.5M sub base). Tentpole-cohort churn at month 3 is running 12% vs. always-on cohort at 4.5%. Property leadership wants monthly churn at 4.5% by month 12 without losing gross adds. Walk me through your 12-month plan.

Smart-question anchors

  • Brand + service positioning, how the service's slate identity + signature franchises show up across awareness + sign-up + first-stream + retention
  • Tier + bundle posture, ad-tier maturity, bundle + partner-distribution share, free-trial + offer architecture
  • Tentpole + slate calendar, release cadence, windowing posture, talent + premiere + earned-media playbook
  • Subscriber economics. SAC + payback by channel, ARPU + tier-mix trajectory, churn cohort dynamics + save-desk discipline
  • Audience data + MarTech maturity. CDP, lifecycle automation, attribution model, incrementality testing, recommendation surface

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