吃鲸科技：黑五营销成本上涨 考验品牌精细化运营能力| 黑五微访谈

Summary: Black Friday marketing costs are rising; the most practical takeaways are refined KOL operations and using AI to improve efficiency.

1. Cost changes: ad spend costs are up, and some influencer quotes have risen about 40%; every budget item must clearly explain why to invest, whom to target, and which content to use.

2. Practical approach: start with small-scale collaborations to validate which types of influencers can explain the product clearly and which use cases most interest target users; for brand awareness, measure reach in target markets; for conversions, track clicks, add-to-carts, and first purchases.

3. Content amplification: after obtaining authorization for high-performing content, amplify it with ads to reduce the risk of blind spending.

4. Conversion approach: turn interest accumulated throughout the year into Black Friday orders; give different purchase reasons to first-time audiences, users comparing models, those who have added to cart, and existing buyers; for example, invite established influencers to do follow-up reviews on features and model choices after several months of use, with links directly to products or bundles.

5. Case: Chijing Technology has seven years of MCN resources and has developed an AI influencer marketing tool to help established brands efficiently match KOLs and help new overseas brands quickly build refined operations.

Summary: Black Friday KOL marketing has entered a phase of refined operations; brands need to design content and offers by user stage.

1. Marketing costs: ad spend costs are rising, and some influencer quotes are up about 40%; brands that consistently invest in KOLs are more cautious with budgets and take longer to decide; brands need to explain whom influencers can reach, what product value they can articulate, and whether content has reuse value after publication.

2. User behavior: users may discover a brand at product launch, watch influencer tests mid-year, and only seriously consider buying on Black Friday; Black Friday content should answer the questions users hesitated over last time and provide separate purchase reasons for first-time audiences, users comparing models, those who have added to cart, and existing buyers.

3. Channels and content: start with small-scale collaborations to validate influencers and use cases; brand awareness is measured by target-market reach, while conversions are measured by clicks, add-to-carts, and first purchases; after authorization, amplify high-performing content with ads.

4. Product and pricing: technology products must clearly explain features and scenarios; for users who have added to cart, emphasize final price and offer deadlines; for existing customers, provide accessory bundles or upgrade discounts.

5. Trend: AI lowers the barrier to finding resources; brands should deepen their marketing resource pools and improve efficiency.

Summary: Black Friday sellers must cope with rising costs and convert full-year user interest into orders.

1. Costs and risks: ad spend costs are rising, and some influencer quotes are up about 40%; brands that have run KOL campaigns for two consecutive years are cautious with budgets and their teams take longer to decide; new overseas brands invest aggressively but are constrained by team maturity and cultural communication differences between Chinese and U.S. KOLs.

2. Growth opportunities: clients moving from Amazon to DTC sites and Chinese Douyin brands expanding overseas via DTC sites plan to invest heavily on Black Friday, hoping to rely on agencies to get results quickly and integrate locally; DTC clients view refined KOL operations as a long-term effort.

3. Response measures: conduct small-scale validation before formal launch and choose influencers who can explain the product clearly; brand awareness is measured by target-market reach, conversions by clicks, add-to-carts, and first purchases; obtain authorization for good content before amplifying with ads.

4. Conversion opportunities: Black Friday captures full-year interest; for first-time audiences, model selectors, add-to-cart users, and existing customers, respectively use influencer follow-ups, final-price reminders, accessory bundles, or upgrade discounts.

5. Collaboration reference: Chijing Technology serves brands with seven years of MCN resources plus AI influencer marketing tools, helping match KOLs and improve efficiency.

Summary: Factories can focus on Black Friday content validation requirements for product selling points, use cases, and e-commerce conversion.

1. Product design and selling points: when promoting technology products, first validate which influencers can explain the product clearly and which use cases most interest target users; product features must be clearly expressible in content, such as established influencers doing follow-up reviews on features still in use after several months and which models suit whom.

2. Business opportunities: new overseas DTC brands and Chinese Douyin brands expanding overseas plan to invest heavily on Black Friday, creating strong demand for content services that deliver quick results and local integration; interest accumulated throughout the year can be converted into orders on Black Friday.

3. Digitalization and e-commerce implications: Chijing Technology has seven years of MCN resources and has developed an AI influencer marketing application positioned to serve brands' overseas KOL operations functions, helping new brands quickly build refined operations and established brands efficiently match KOLs; factories doing e-commerce can use tools to improve influencer matching and content validation efficiency.

4. Risk warning: ad and influencer costs are rising simultaneously; validate on a small scale before scaling up to avoid budget waste.

Summary: Overseas KOL marketing service providers face rising costs and AI lowering barriers; they need refined operations and tool-driven efficiency.

1. Industry trend: AI lowers the barrier to finding resources, bringing more players into the KOL promotion market; brands need to deepen marketing resource pools, agencies need to make AI tools efficient and effective, and operations teams need to use AI to master more localized resource methods.

2. Client pain points: brands that consistently run KOL campaigns are cautious with budgets and take longer to decide; new overseas brands want quick results but face cultural communication differences between Chinese and U.S. KOLs; ad spend and influencer quotes are rising at the same time, with some influencer quotes up about 40%.

3. Solutions: before formal launch, run small-scale validation of influencers' ability to explain products and the appeal of use cases; brand awareness is measured by target-market reach, conversions by clicks, add-to-carts, and first purchases; after authorization, amplify good content with ads so every budget item can be justified.

4. Case reference: Chijing Technology has seven years of MCN resources, has brought in AI engineers with Microsoft backgrounds, is backed by Sequoia Capital, and has developed an AI influencer marketing application to serve brands' overseas KOL operations functions, improving matching and operational efficiency.

Summary: Marketplace platforms can focus on Black Friday merchant structure changes, KOL content conversion, and implications for merchant recruitment and operations.

1. Merchant demand: clients moving from Amazon to DTC sites and Chinese Douyin brands expanding overseas via DTC sites plan to invest heavily on Black Friday, hoping agencies can deliver quick results and local integration; established KOL brands are cautious with budgets and take longer to decide.

2. Platform opportunities: DTC clients treat refined KOL operations as a long-term effort, so platforms can focus on merchant recruitment and services for new overseas merchants; full-year user interest converts into orders on Black Friday, and platforms need to support content-to-product links, bundles, and add-to-cart conversion.

3. Operational approach: use influencer follow-up reviews to answer model-choice questions, remind add-to-cart users of final prices and offer deadlines, and give existing customers accessory bundles or upgrade discounts; tailor conversion by first-time audiences, model selectors, add-to-cart users, and existing buyers.

4. Risk avoidance: ad and influencer costs are rising, with some influencer quotes up about 40%; platforms should encourage merchants to validate on a small scale first and amplify content with ads only after authorization, avoiding blind spending.

Summary: Black Friday KOL marketing shows a new industry dynamic in which rising costs, AI-driven efficiency, and refined operations proceed in parallel.

1. New dynamics: ad spend costs are rising, and some influencer quotes are up about 40%; AI lowers the barrier to finding resources, bringing more participants into the KOL promotion market; brands and service providers need to balance the depth of marketing resource pools against efficiency gains.

2. New issues: established brands are cautious with budgets and take longer to decide; new overseas brands invest aggressively but are constrained by team maturity and cultural differences between Chinese and U.S. KOLs; how to validate influencer reach, product value, and content reuse has become a key issue.

3. Business model: Chijing Technology combines seven years of MCN resources with an AI influencer marketing application, positioned to serve brands' overseas KOL operations functions, forming a tools-plus-operations service model; it improves results through small-scale validation, authorized content amplification with ads, and converting full-year user interest on Black Friday.

4. Implications: research can examine pre-campaign validation, tiered evaluation of brand awareness and conversions, and user-stage conversion methods for first-time audiences, model selectors, add-to-cart users, and existing customers.