Customer background and pain points: High-frequency new launches, materials can't keep up
Customer Profile: A car fragrance brand/store operating on Douyin, mainly focused on mid-to-high-end premium gift box sets (ebony sandalwood, ebony rose, and other scent types); launching new products 3–5 times per month, with 8–20 fragrance SKUs each time; a small operations team, with content long reliant on external editors and no in-house shooting or editing team.
Core Pain Points: Outsourced editing delivers each piece of material in about one day, unable to support the need to fully stock materials for testing on the day of new product launch — on launch day, while others are testing, they're still waiting for delivery; per-piece payment and per-day scheduling compress the styles and content angles they can test to a minimum; operators spend a large amount of time chasing progress and aligning materials, rather than on scent selection and ad delivery strategy.
Solution: DKS mass content production pipeline
Precise Content Generation: Operators batch-enter the car fragrance products for the current new launch into DKS, and the system automatically extracts selling points and generates scripts — breaking feeling-based selling points like "passenger seat ambiance, cold-resistant and explosion-proof glass bottle, gentle and natural scent release, one bottle steadily diffusing fragrance for about 5 months, exquisite gift box packaging" into a short video structure where each subtitle corresponds to one selling point, anchoring abstract experiences to concrete visuals.
Script Model Switching: Built-in three script templates, switchable at any time based on campaign objectives — "In-Car Odor Pain Point" targets pain points, first creating odor anxiety and then offering the solution; "Ambiance Scenario" targets emotion, talking about the experience of the moment you get in the car; "Scent Type Comparison" targets choice, using ebony sandalwood vs. ebony rose to help users make quick decisions.
Mass Production and Distribution: Generate 20 short videos at once, covering all testing needs for the current new launch; export according to platform ratios for direct deployment, and the same selling point library can be reused for the next launch by swapping scent types and scenarios.
Implementation results: From "waiting days for outsourcing" to "usable the same day"
Capacity Improvement: Material output goes from "waiting days for outsourcing" to "usable the same day," and new products can be fully stocked with materials for testing on the day they launch; 20 pieces generated per batch, with per-piece material cost dropping significantly.
Content Precision: Three templates cover three types of decision scenarios — "pain point — emotion — choice," with each selling point having corresponding visuals and subtitles and nothing left out; content angles can be quickly kept or dropped based on testing data, rather than the editor's personal interpretation.
Customer Acquisition Loop: Deploy materials on launch day → test the same day → data flows back into scent selection and ad delivery strategy → the next launch continues using the templates, forming a repeatable loop of "launch — testing — optimization"; operator energy shifts from chasing deliveries back to product selection and ad delivery itself.
