The Product Launch Video Timeline (T-30 to T+7)
A day-by-day product launch video timeline from T-30 to T+7: teasers, demos, launch-day assets, and post-launch proof content, all AI-producible.
Most product launches ship exactly one video, and it goes live the same day as the product. That's not a launch — that's an announcement, and announcements get one algorithmic at-bat. The launches that actually move numbers treat video as a five-week campaign: anticipation content before, a coordinated burst during, and proof content after. Historically only funded teams could afford that many assets. With AI production, the constraint is no longer budget; it's having a plan.
So here's the plan — the day-by-day timeline I've refined across multiple launches, from T-30 (thirty days before launch) to T+7 (one week after). Every asset on it is producible by one person with an AI stack. Steal the whole thing or compress it to T-14 for smaller drops; the sequencing logic holds at any scale.
The three-act logic before the calendar
Act one (T-30 to T-8) builds an audience problem-first: content about the pain your product solves, with zero product shown. Act two (T-7 to T-1) converts that attention into anticipation: teasers, reveals, countdowns. Act three (T-0 to T+7) is the launch burst plus the follow-through almost everyone skips: demos, objection-handling, and social proof while attention is still warm.
The most common mistake is inverting the effort: teams spend 90% of production time on the launch-day hero video and improvise everything else. In practice the hero video is maybe 20% of a launch's total video performance; the accumulation of smaller assets before and after does the heavy lifting.
T-30 to T-15: problem content (no product)
Volume: 4–6 videos, posted every 2–3 days.
These videos never mention the launch. Their job is to grow reach and prime the audience on the problem, so the algorithm already knows who cares by the time you reveal. Formats that work:
- "Why [current way] is broken" opinion pieces
- Mini-explainers on the problem space (the 30-minute AI explainer method makes these a same-day job)
- Relatable pain-point sketches or POV skits
- A "we've been working on something" behind-the-scenes clip around T-16 — the single soft signal in this phase
Production note: batch all of these in one or two sessions with an AI video generator, then schedule them out. Batching in week one is what frees the chaotic final week.
T-14 to T-8: tease and capture
Volume: 3–4 videos.
Now the product exists, but only in silhouette. The goal of this phase is converting curiosity into owned capture — waitlist, notify list, or follower — because launch-day distribution you don't rent from an algorithm is the best kind.
- T-14: first true teaser. Show a detail, a texture, an outcome — never the whole thing. 10–15 seconds, looping, native audio.
- T-11: founder or team video: "the problem we couldn't stop thinking about." Personal account if you have the personal/company split running.
- T-9: second teaser answering the top comment speculation from the first. Reading the comments is the content strategy here.
- T-8: waitlist push with a concrete launch date reveal.
T-7 to T-1: the reveal week
Volume: 5–7 videos. Daily posting.
| Day | Asset | Notes |
|---|---|---|
| T-7 | Full product reveal | The name, the look, the one-line promise. Your second-best video of the campaign |
| T-6 | Feature spotlight #1 | 20–30s, one feature, one benefit |
| T-5 | Feature spotlight #2 | Different feature, different visual style hook |
| T-4 | Origin story short | Compressed version of the founder narrative |
| T-3 | Social proof teaser | Beta user reactions, early reviews — UGC-style works |
| T-2 | "How it works" demo teaser | 30s cut of the full demo held for launch day |
| T-1 | Countdown + final CTA | Shortest video of the week; urgency, time, link |
This week is why you batched earlier: all seven assets should be finished before T-7 begins. Generate the scenes, cut the variants, caption everything, and load the calendar. A reusable multi-scene workflow with scheduled auto-posting means reveal week runs itself while you handle comments and press — which is a full-time job that week anyway. Cross-platform versioning (aspect ratios, caption styles, platform-native hooks) is its own discipline; the 9-platform auto-scheduling guide covers that layer.
T-0: launch day
Volume: 3–4 assets, staggered through the day.
- Hero launch video at your audience's peak hour: 45–90 seconds, the full promise, the strongest visuals you've got. This is the one worth premium model credits and a proper launch-video build.
- Full demo video 2–3 hours later, for the people the hero video convinced: real walkthrough, real UI or product, honest length.
- Founder live or raw reaction clip in the evening — launch-day energy is unfakeable and worth capturing on a phone.
- Story/vertical burst: 3–5 short cuts of the hero video across Stories and Shorts surfaces through the day.
One operational rule: launch day is for engagement, not production. Everything except the raw founder clip was made days ago. You spend T-0 in the comments, because launch-day reply velocity measurably feeds distribution.
T+1 to T+7: the week everyone wastes
Volume: 4–6 videos. Attention decays fast after launch; this week converts the residue into buyers.
- T+1: results/reaction video — first-day numbers if shareable, best comments, early customer posts.
- T+2: objection video #1. Mine launch-day comments for the top hesitation ("does it work with X?", "why so expensive?") and answer it straight.
- T+3: use-case deep dive for your biggest customer segment.
- T+4: objection video #2, same method.
- T+5: customer proof — first testimonials, cleaned up and captioned; the testimonial video approach applies directly.
- T+7: week-one recap and "what's next" — closes the campaign arc and seeds the ongoing content rhythm.
The objection videos are reliably the highest-converting assets of the entire timeline, and they cannot be made in advance — they're built from real launch feedback. This is where same-day AI production is a structural advantage rather than a convenience: comment at 9am, scripted by 10, generated and captioned by noon, posted by 2.
Compressing the timeline for smaller launches
Not every drop deserves 30 days. The compression rules:
- T-14 version (feature releases, restocks): keep one problem video, two teasers, reveal week becomes three days, keep the full T+ week. ~10 assets.
- T-7 version (minor updates): teaser, reveal, demo, two objection videos. 5 assets.
- Never compress below: one pre-announcement teaser, one demo, one post-launch objection video. That trio is the irreducible core; a launch with only a launch-day video underperforms even for tiny releases.
FAQ
How many total videos does the full T-30 to T+7 timeline require?
Nineteen to twenty-seven distinct videos, before platform variants. With batching — problem content in one session, reveal week in two — that's roughly four to six focused production days across the five weeks for a solo operator using AI generation, plus daily posting-and-comments time.
What if the product isn't final until a few days before launch?
Build everything except the demo and hero video against near-final assets, and structure those two so product shots are swappable. Reference-to-video generation helps here: when the final product photography lands at T-4, regenerating the product scenes takes hours, not a reshoot.
Should teasers show the actual product or not?
Before T-7, fragments only — detail shots, outcomes, silhouettes. Full reveal at T-7. Revealing everything in the first teaser trades your whole anticipation arc for one modest spike, and comment-section speculation (which fuels the algorithm) dies immediately once the mystery is gone.
Which timeline phase should get premium video-model credits?
The hero launch video and the T-7 reveal earn top-tier models; everything else runs on fast, cheaper models. Problem-phase and objection videos win on script and speed, not fidelity — spending hero-tier credits on a T+2 objection reply is wasted money.
How do I run this timeline across multiple platforms at once?
Make each asset once, then version per platform (aspect, captions, hook length) rather than creating per-platform content. Schedule the entire calendar in advance and auto-publish, keeping only launch day manual. One person can genuinely run five platforms this way; hand-posting is the thing that breaks.
Map your next launch against this calendar, then build the reveal-week assets in one sitting with the AI video generator and a scheduled workflow — free credits daily.