Interview Drills — Content, SEO & Channel Strategy

Open-ended interview questions on the executional craft of demand and enablement: picking and justifying channels for a real product and budget, building content/SEO plays around actual search intent, and arming sales to close. Each drill has a Framework (the structure a strong answer follows), a Model answer (a concise example), and a Rubric (what an interviewer listens for). Practice thinking aloud, and always tie a channel or piece of content back to the audience, the funnel stage it serves, and the economics (CAC vs. LTV). The app can role-play these as mock interviews (see mock-interview.md).

The universal channel-strategy structure: Clarify the product, audience, goal, and budget → map where that audience actually is → match channels to the audience and the funnel stage → judge the economics (CAC vs. LTV, time-to-payback) → concentrate on one or two bets instead of spreading thin → name the metric that tells you it's working. Use it on almost any "which channels / what content" question.

D1

difficulty: easy
concept: channel-selection You're the first marketer at a B2B invoicing tool for freelancers. You have $5k/month. Which channels would you pick, and why?
Framework: Clarify the audience and the goal the budget should serve → list candidate channels and where this audience actually is → match channels to the product type and budget → pick one or two to concentrate on (don't spread $5k across ten) → name the metric and a rough CAC sanity check.
Model answer: "Audience: solo freelancers who search for tax/invoice help, low deal size so a sales team is off the table. With only $5k I won't dabble — I'd concentrate on two: organic search/content around high-intent queries ('how to invoice a client,' 'freelance invoice template'), because it compounds and matches a searching audience, plus a small paid-search test on the most commercial terms to learn CAC fast while SEO builds. I'd skip brand social and partnerships for now. Metric: signups from organic + paid, and cost-per-signup against our expected LTV."
Rubric: Strong answers anchor on where the audience actually is, match channels to a low-touch self-serve product, deliberately concentrate the small budget, and reason about CAC vs. LTV. Weak answers list every channel ("a bit of everything"), ignore the budget constraint, or pick a sales team for a $20/month product.

D2

difficulty: medium
concept: search-intent Walk me through how you'd design a content/SEO play around a single real search query for a meal-planning app.
Framework: Pick a specific query and classify its intent (informational vs. commercial) → describe the searcher and what would make this the best answer → outline the content and how it earns the click and the next step → connect it to the funnel (which stage, what's the call-to-action) → name the success metric and why it compounds.
Model answer: "Query: 'high-protein meal prep for the week' — informational, top-of-funnel. Searcher: someone planning, not yet shopping for an app. The best answer is a genuinely useful guide with a real 7-day plan, a grocery list, and macros — better than the thin listicles ranking today. The natural next step is 'get this plan auto-generated' → a soft CTA into the app, so it bridges acquisition to activation. Metric: ranking and organic traffic, then assisted signups from that page. It compounds because a strong guide keeps pulling free visitors for years, unlike paid."
Rubric: Strong answers classify intent correctly, design content that genuinely satisfies the searcher (not keyword stuffing), tie the page to a funnel stage with a sensible CTA, and explain the compounding economics. Weak answers ignore intent, jump straight to a hard sell, or treat SEO as tricks rather than being the best answer.

D3

difficulty: medium
concept: sales-enablement Sales says they keep losing deals to a cheaper competitor. Build them a battlecard. What goes on it?
Framework: Clarify why deals are actually lost (talk to sales, listen to calls — don't guess) → state our honest positioning vs. that competitor → structure the card: when we win / when we lose, our differentiators, their weaknesses, objection handlers, proof → keep it to one page sales will actually use → say how you'd keep it current and measure impact.
Model answer: "First I'd listen to 5 lost-deal calls so the card reflects reality, not marketing's wishlist. The card: a one-line positioning, an honest 'we win when the buyer values X / we lose when price is the only factor' so reps qualify, top 3 differentiators tied to buyer pain, the competitor's real weaknesses, scripted answers to the price objection (reframe to total value/ROI, not a discount war), and one proof point (a case study or stat). One page, skimmable mid-call. I'd refresh it quarterly with sales and measure win-rate against that competitor."
Rubric: Strong answers start from real deal evidence, are honest about where we lose (so reps qualify out), give scripted objection handlers and proof, keep it usable in a live call, and tie it to win-rate. Weak answers invent differentiators, claim we win everywhere, fight price with price, or produce an unusable wall of text.

D4

difficulty: medium
concept: avoid-spreading-thin A founder wants to be 'everywhere' — SEO, paid, TikTok, podcast ads, partnerships, events — all at once on a limited budget. How do you respond?
Framework: Validate the instinct but name the trap (spreading thin starves every channel of the budget and attention needed to learn) → propose concentrating on one or two bets matched to the product/audience → frame the rest as small, time-boxed tests with kill criteria → tie the decision to CAC/LTV and learning speed → say how you'd double down on winners.
Model answer: "I'd agree we need to find the winning channel — but trying ten at once means none gets enough budget to produce a trustworthy read, and we'll burn cash learning nothing. Most companies that work have one or two dominant channels. I'd pick our best-fit bet to fund properly, run one cheap time-boxed experiment alongside it with a clear kill threshold (e.g., 'if podcast CAC > 2x our target after $2k, stop'), and judge everything on CAC vs. LTV and payback. Then I'd reallocate budget into whatever clears the bar and cut the rest."
Rubric: Strong answers explain why spreading thin fails (no channel gets enough to learn), concentrate the budget, frame extras as disciplined tests with kill criteria, and decide on economics. Weak answers either cave and try everything or rigidly refuse to test anything new.

D5

difficulty: hard
concept: channel-economics Paid search is bringing in customers but the CFO says we're losing money on them. How do you diagnose and decide whether to keep the channel?
Framework: Get the numbers per channel: CAC (fully loaded) vs. LTV and the payback period → check whether the issue is CAC too high or LTV too low (retention/funnel) → segment — maybe some keywords/segments are profitable and others aren't → decide: cut the unprofitable slice, fix what's fixable, keep what clears the bar → name the metric and threshold you'll govern by.
Model answer: "I'd compute fully-loaded CAC per channel and compare to LTV and payback months — 'losing money' usually means LTV < CAC or payback is too long for our cash. Then I'd split the cause: is CAC inflated (bidding on broad, low-intent terms) or is LTV weak because those users churn (a retention leak, not a channel problem)? I'd segment by keyword/audience — high-intent branded terms may be very profitable while broad terms bleed. Decision: kill the unprofitable keyword clusters, shift spend to the profitable intent, and if churn is the real issue, fix activation before buying more traffic. Govern by LTV:CAC comfortably above 1 and an acceptable payback window."
Rubric: Strong answers separate CAC problems from LTV/retention problems, segment rather than judging the whole channel as one blob, recognize that buying traffic into a leaky funnel is the real mistake, and govern by LTV:CAC and payback. Weak answers kill or keep the whole channel without segmenting, or never connect acquisition cost to retention.

D6

difficulty: hard
concept: integrated-gtm-play Design the content-and-channel plan for launching a new AI note-taking feature into an existing product. Budget is real but finite.
Framework: Clarify the audience, the value prop, and the launch goal/metric → choose a small set of channels matched to that audience and to funnel stages (own channels first — email, in-app, blog — then earned/paid) → design the content backbone (a hero asset plus search-intent pieces) → equip sales/support so the story stays consistent end-to-end → define success in advance and what you'd cut if budget is tight.
Model answer: "Audience: existing users who take messy notes; goal: feature activation, measured as % of active users who use it in week one. I'd lead with owned channels (free, warm): an in-app announcement at the moment notes are created, a launch email, and a blog/guide that doubles as SEO for 'AI meeting notes' intent to pull new users too. One hero asset — a short demo showing the 'aha' — feeds every channel so the story is consistent. A small paid test only on the highest-intent search terms. I'd brief sales and support with a one-pager and objection handlers so the message holds from ad to call. Success: week-one feature activation and assisted signups; if budget tightens, I cut paid first and lean on owned channels, which cost attention not cash."
Rubric: Strong answers pick a tight channel set matched to audience and funnel stage, lead with owned channels, build one consistent story across everything, enable sales/support, define a success metric in advance, and name what they'd cut under constraint. Weak answers list disconnected tactics, blast everyone, forget enablement, or never define what success looks like.