Customer background and pain points: What's being sold is "ambiance," but the materials can't capture the feeling
Customer Profile: A home fragrance shop operating on Douyin / short video channels, mainly selling ambiance-driven fragrance products such as aromatherapy candles; with fast new launch rhythms and the need for multiple versions of materials for the same product for testing. The operations team is small, with no in-house shooting or editing team, and content has long relied on outsourcing or personal phone shooting.
Core Pain Points: Aromatherapy sells an indefinable "ambiance," but the delivered materials can't capture that feeling — set design, lighting, and color grading are all off, and an 8-second video can't show the effect of "light one and the whole room feels gentle"; outsourced material delivery takes about one day per piece, and testing 5–10 versions for the same product simply can't be scheduled; operators' time is spent chasing materials and reworking, rather than selecting scent types and adjusting ad delivery.
Solution: DKS mass content production pipeline
Precise Content Generation: Operators batch-enter the aromatherapy products for the current new launch into DKS, and the system automatically extracts selling points and generates scripts — breaking feeling-based selling points like "coming home from work exhausted, lacking ambiance, a room full of gentleness, candlelight healing" into an 8-second structure where each subtitle corresponds to one visual: ambiance-setting opening → pain point opening (coming home from work exhausted) → solution action (light the aromatherapy) → emotional contrast (lacking ambiance / a room full of gentleness) → immediate conversion (tap the TikTok Shop link below to take it home), anchoring abstract experiences to concrete visuals.
Script Model Switching: Built-in three script templates, switchable at any time based on campaign objectives — "Emotional Pain Point Type" targets empathy, first creating the anxiety of post-work exhaustion and then offering the solution of a candle; "Scenario Aesthetic Type" targets ambiance, using scene empty shots like before bed, solitude, and dates to talk about home aesthetics; "Scent Selection Decision Type" targets choice, using scent type / specifications / gifting scenarios to help users make quick decisions.
Mass Production and Distribution: Generate 20 short videos at once, with multiple versions of materials for the same product launching simultaneously for testing; export according to platform ratios for direct deployment, and the same selling point library can be reused for the next batch of new products by swapping scent types and scenarios.
Implementation results: From "waiting for outsourced delivery" to "deploying materials 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 reduced to one-third of the original.
Content Precision: Three templates cover three types of decision scenarios — "emotion — scenario — choice," with each selling point having corresponding visuals and subtitles and nothing left out; the 8-second short structure matches Douyin's completion-rate rhythm, and performance data can be directly attributed to script angles 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.
