赛狐AI广告：用数据+素材双引擎搞定亚马逊与沃尔玛广告投放

Summary: The article outlines a practical path for Saifox's dual AI advertising engines, centered on using data for campaign decisions and AI for compliant video asset production at scale.

1. For Amazon advertising, open the AI assistant in the upper-right corner of the navigation bar and enter the AI Advertising Compass to research category conditions, self-validation, and site priorities with a single prompt.

2. Self-validation should examine impressions, CTR, CVR, and ROAS against overall-market and top-performer benchmarks for the same site, category, and product age, determining whether a product has truly gained traction before increasing spend or expanding to new sites.

3. For Walmart creative, upload high-resolution product images with scene prompts to generate multiple short-video versions for home, outdoor, holiday, and feature-demo scenarios in one click; users who cannot write prompts can upload reference images and enter Listing selling points, use cases, and target customers, and AI will generate prompts for further refinement.

4. Generate 16:9 short videos focused on the product itself, use scenarios, feature demos, selling-point explanations, and before/after comparisons, adapted to Walmart SV and SBV ad specifications.

5. Monitor New-to-Brand customers, cross-touchpoint conversion paths, and long-term sales value in FFC reports, rather than looking only at direct ACOS or short-term ROAS.

Summary: Brands can use Saifox AI Advertising across four areas: category trends, brand acquisition, creative marketing, and long-term brand returns.

1. Category insights: The AI advertising assistant can show category demand shifts, changes in demand structure, and emerging sub-segment opportunities, helping brands identify trending tracks and advertising directions.

2. Brand acquisition: FFC full-funnel advertising has AI coordinate search, display, video, and streaming TV to reach buyers before they actively search, with a focus on New-to-Brand orders, new-customer sales, and new-customer acquisition cost.

3. Coordinated conversion: FFC reports provide cross-touchpoint conversion paths, showing how touchpoint combinations work together to generate orders within 30 days and preventing brands from treating awareness-building video and search ads in isolation.

4. Long-term returns: Reports provide estimated long-term sales value for the next 1/3/6/12 months, suitable for high-ticket and repeat-purchase products when assessing brand-equity returns.

5. Creative marketing: AI video can produce assets at scale around different selling points, target audiences, and delivery channels, supporting ad A/B testing and on- and off-platform campaigns, with native adaptation to Walmart SV/SBV specifications.

Summary: The article's core value for sellers is reducing the risk of gut-feel advertising decisions and highlighting new opportunities in Amazon and Walmart advertising.

1. Opportunity: Walmart SV advertising is a current incremental opportunity; Amazon FFC full-funnel advertising lets AI coordinate search, display, video, and streaming TV under one budget, automatically allocating spend after a target ROAS is set.

2. Risk: Product selection for advertising and new-site expansion should not rely on intuition; FFC performance should not be judged only by direct ACOS, because many orders come from buyers who first see TV or video and then search and purchase; short-term attribution in ordinary advertising underestimates long-term value.

3. Decision method: Use the AI advertising assistant to ask, first, about category conditions; second, about self-validation; and third, about site priorities, producing a plan for which sites to prioritize, which to defer, and which not to enter.

4. Report takeaways: Monitor New-to-Brand orders, new-customer sales, new-customer acquisition cost, cross-touchpoint conversion paths, and LTS long-term sales value.

5. Partnerships and tools: Saifox is a strategic partner of Amazon Ads, the first ERP vendor globally to integrate FFC advertising, and Walmart Ads' only Creative Partner; sellers can try the AI advertising assistant and AI video, while FFC ad creation, editing, and operation logs are coming soon.

Summary: Factories can draw lessons in three areas: product creative design, compliant video production, and e-commerce digitalization.

1. Product asset design requirements: AI video generation requires high-resolution product images and organizes content around the product itself, use scenarios, feature demos, selling-point explanations, and before/after comparisons, requiring factories to prepare clear product images, selling-point assets, and scenario-based expression.

2. Asset production: For the same product, multiple short-video versions for home, outdoor, holiday, and feature-demo scenarios can be batch-produced around different selling points, target audiences, and delivery channels, supporting ad A/B testing and on- and off-platform campaigns.

3. Compliance adaptation: Generate 16:9 short videos natively adapted to Walmart SV/SBV ad specifications, directly producing campaign assets that meet review requirements and reducing rework caused by non-compliant creative.

4. Digitalization implications: Use the AI advertising assistant to turn experiential judgment into data-driven priority ranking, use FFC full-funnel advertising to let AI coordinate multi-touchpoint delivery, and use AI video to fill creative capacity, forming a digital e-commerce advertising loop from decision-making to assets.

5. Business opportunities: Walmart SV advertising is seen as an incremental opportunity, new-site expansion can use data-driven priority ranking, and factories can work with sellers to prepare product assets and creative content.

Summary: The article shows that cross-border advertising services are moving from experience-based buying toward data-driven decisions plus AI-powered creative production at scale, with existing solutions addressing client pain points.

1. Client pain points: Choosing products to advertise and expanding to new sites rely on intuition; creative production cannot keep pace, and video creative is time-consuming and often fails platform specifications.

2. Solution: Saifox uses a dual engine of an AI advertising assistant and AI-generated video to address whether to advertise, where to advertise, and when to advertise, while also filling creative capacity and ensuring compliant delivery.

3. New technology: The AI advertising assistant relies on Amazon Ads' ASIN lifecycle intelligent insights (AJI) category benchmark data; FFC full-funnel advertising uses one budget for AI to coordinate search, display, video, and streaming TV, with a target ROAS set; AI video can automatically generate prompts and refine them in a second pass.

4. Industry trends: Amazon emphasizes data-driven decisions, while Walmart competes on video creative; Saifox is recognized by both Amazon and Walmart and has become Walmart Ads' only Creative Partner, indicating that AI advertising and compliant video assets are competitive differentiators in service capabilities.

5. Service levers: Use FFC reports to examine New-to-Brand customers, cross-touchpoint conversion paths, and long-term sales value, helping clients avoid looking only at direct ACOS and short-term ROAS.

Summary: Marketplace operators should pay attention to advertiser demand for AI-driven delivery and compliant creative, as well as Saifox's collaboration with Amazon and Walmart.

1. Platform needs and issues: Sellers need a single budget to coordinate multi-touchpoint delivery, reports on cross-touchpoint conversion and long-term value, and video assets that meet platform specifications; judging performance only by direct ACOS or short-term ROAS leads to misjudgment.

2. Latest platform practices: Amazon offers FFC full-funnel advertising, with AI coordinating search, display, video, and streaming TV under one budget and allocating spend after a target ROAS is set; Walmart has SV/SBV creative specifications emphasizing 16:9 format, the product itself, use scenarios, feature demos, selling-point explanations, and before/after comparisons.

3. Partnership and recruitment signals: Saifox is a strategic partner of Amazon Ads, the first ERP vendor globally to integrate FFC advertising, Walmart Ads' only Creative Partner, and the only technology partner in China with AI video generation capabilities; the article invites sellers to try AI advertising on both platforms.

4. Operations management: Platform operators can monitor New-to-Brand metrics, cross-touchpoint conversion paths, and LTS long-term sales value in FFC reports, as well as the upcoming launch of ad creation, editing, and operation logs.

5. Avoiding misdirection: Avoid shutting off FFC ads based only on direct ACOS, and avoid focusing only on 7/14-day short-term ROAS; instead, use 30-day touchpoint combinations and long-term estimates to assess coordinated orders and brand returns.

Summary: The article presents new industry developments in cross-border e-commerce advertising: a shift from experiential judgment to data-driven priority ranking, with full-funnel AI delivery and AI video generation forming a closed loop.

1. New developments: Saifox is recognized by both Amazon and Walmart; as an ERP vendor, it is the first globally to integrate Amazon FFC advertising; it has become Walmart Ads' only Creative Partner and possesses AI video generation capabilities.

2. Business model: The AI advertising assistant addresses whether, where, and when to advertise; AI-generated video addresses creative capacity and platform compliance; the dual engine forms a one-stop loop from campaign assessment to video assets.

3. New issues: Many FFC orders are not placed immediately after clicking an SP ad; buyers first see TV or video for awareness-building, then search and purchase. Looking only at direct ACOS therefore distorts performance; ordinary advertising looks only at short-term attribution and ignores long-term sales value.

4. Analytical tools: AJI category benchmark data is used for category conditions, self-validation, and site priorities; FFC reports provide New-to-Brand, cross-touchpoint conversion paths, and LTS estimates for the next 1/3/6/12 months.

5. Policy and regulatory implications: Platform ad creative review specifications affect AI asset production, and AI video must natively adapt to Walmart SV/SBV specifications; advertising decisions need data-based yardsticks to reduce the risk of new-site expansion.