Practical tutorial for the information-flow local push lead generation and customer acquisition bootcamp

The core direction of future information-flow advertising is clear, and local push has become an irreversible inevitable trend. This course takes you systematically through local push, helps you master the core competitiveness of the next three years, and builds a precise customer acquisition system centered on local push. The course is a 4-day livestream, from AI audience analysis to practical cost reduction, with no empty theories - only useful hands-on practice.

The course emphasizes full-chain AI empowerment, using AI tools to quickly produce advertising strategies and audience analyses, teaching not only the method but also precise prompt generation techniques. It also provides the latest local push guide. In 2026, Juliang AD sales lead features have fully migrated to local push, and the course content syncs with platform changes in real time - only useful content, no outdated material. Staged cost-reduction practice covers reducing testing costs for new accounts, reducing wasted spend during scaling, and stabilizing costs for old accounts, with actionable operation points at every stage.

The course outline includes four days of live content. AI tool audience strategy analysis and Laike store onboarding configuration setup, class time August 17 (Monday) 20:00, explaining how to use AI tools to quickly produce ad delivery strategies and audience analysis, precise and efficient prompt generation techniques, Laike store onboarding and initial configuration, private message configuration and AI utilization to increase effective inquiries, solving problems such as not knowing how to use AI for audience analysis, being clueless about Laike store onboarding and private message configuration, and optimizers completely not understanding how to operate the backend. Local push lead acquisition account 0-1 implementation and setup, class time August 19 (Tuesday) 20:00, explaining lead acquisition delivery path selection, applicable scenarios for consultation pages, private domain pages, and store product pages, targeting exclusion package behavior interest creator audience building techniques, stable conversion and maximum conversion delivery strategies, material content editing and delivery card content techniques, 7-day delivery AB testing strategies for accounts with different budgets, solving problems such as not knowing how to choose the order and lead acquisition path, not knowing how to build targeting packages and exclusion packages for behavior interest, and completely not understanding the overall account data. Local push cost reduction strategy phased practical operation, class time August 20 (Thursday) 20:00, explaining reducing testing costs during the new account testing period, reducing wasted spend costs during the account scaling period, and lowering costs during the stable period of old accounts, solving problems such as costs not coming down during the new account testing period, serious wasted spend during the scaling period, and old account costs fluctuating unstably. Feed account in-class diagnosis and Q&A, class time August 21 (Friday) 20:00, conducting case analysis of students' real accounts, in-class Q&A on common feed problems, solving problems such as accounts not running, high costs, poor lead quality, being unable to find the problem yourself, and having no one to guide you.

In terms of learning outcomes, systematically master the entire local push lead acquisition process, from AI audience analysis to account setup, cost reduction practical operation, and in-class diagnosis, forming a complete closed loop; learn to use AI to improve delivery efficiency, use AI tools for audience analysis and generate delivery strategies, increase delivery inquiries, and say goodbye to inefficient repetitive work; obtain reusable cost reduction methods, with strategies for each of the three stages: new accounts, scaling period, and old accounts, which can be applied to your own accounts right after learning. When learning, it is recommended to combine your own industry and account budget, first complete Laike store and private message configuration, then record costs and lead quality by stage according to the testing period, scaling period, and stable period, use AI prompts and AB testing methods to continuously review, organize the operation points in the course into a delivery checklist suitable for your own account, and gradually improve the stability of lead acquisition.

• 1.Demonstration and practical operation of 7 commonly used AI prompts for ad delivery
• 2.Laike store onboarding, private message configuration, and ready-to-use AI to increase effective inquiries
• 3.New version local push lead acquisition account 0-1 implementation and setup
• 4.7-day delivery AB testing guide for accounts with different budgets
• 5.Local push account 0-1 standardized setup full process and core strategies and pitfall avoidance guide for new account cold start
• 6.Reducing testing costs during the new account testing period

• 7.Reducing wasted spend costs during the account scaling period and reducing fluctuation costs during the stable delivery period of old accounts
• 8.Efficient volume ramp-up strategies for new accounts and practical cost control and reduction system during the scaling period
• 9.Full-link efficient performance improvement methods and full lifecycle optimization system for account ad groups

• 10.Diagnosis and Q&A on students' real accounts (finance and taxation, machinery, franchising, law firms)
• 11.September 2026 student Q&A and account diagnosis (corporate consulting, gate hoists, trash racks)
• 12.Late September 2026 student account diagnosis (decoration materials, home decoration)
• 13.Early October 2026 student account diagnosis (SaaS software, suspended doors, industrial ovens)
• 14.Late October 2026 student account diagnosis (building materials, old house renovation) and Q&A

• 15.Tencent Feed Ads Performance Improvement Bootcamp [October New Edition]
• 16.Baidu Feed Ads Performance Improvement Bootcamp October New Edition

💡 Learning Tip:The course content is based on industry practices at the time of publication. It is recommended to combine your study with the latest platform rules.