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Shooting ads, a group of over a hundred thousand revenue customers with Wisdom.😳

Firing add-ons. A group of more than a hundred thousand revenue customers has Wisdoms. 😳

Solve the problem of chat and not buying significantly. 🔥

Shoot at the target audience with real purchasing power.

You can choose "income range + province + gender."

When you add "interest" and create "Lookalike," you get a precise audience.

👉, we now have access to a "buying power screening target set" that is divided by:

❤ Revenue 15,000-30,000

❤ Revenue 30,000-100,000

❤ Income over 100,000 Baht / month

☃ Choose provinces such as Bangkok / Chonburi / Phuket etc

👉 set of these prospects is Income-Based Audience Segment.

Analyze the overall behavior of consumers, not personal data (the data comes from our Market Research)

👉 we took these Data Segments to create 1% Custom Audience & Lookalike.

Many times more accurate than Interest, allowing ads to reach "real ready-to-buy groups" from day one.

Not random, not guessing, not wasting money on people who aren't ready to buy.

Apply to goods / services that require a group of customers "with real purchase money," such as:

• Expensive Course

• Assortment

• Car

• Clinic

• Premium products

• High price equipment

Clear shot into the target.

But still within the PDPA framework and the Facebook system that allows it.

✅ * * Database quarterly updates ensure accuracy

✅ * * Our database partners have served many major national customers including CIMB, AMEX, SLC, BMW, Chubb, Centara, SAP, Sansiri and more.

1/26 Edited to

... Read moreการยิงแอดให้ตรงกลุ่มเป้าหมายที่มีกำลังซื้อเป็นสิ่งที่สำคัญอย่างมากสำหรับธุรกิจในยุคนี้ โดยเฉพาะการมีกลยุทธ์ที่ชัดเจนสามารถช่วยลดต้นทุนโฆษณาและเพิ่มโอกาสปิดการขายได้จริง จากประสบการณ์ตรง ผมพบว่าการใช้ชุดฐานข้อมูล Income-Based Audience Segment ที่แบ่งตามช่วงรายได้ เช่น รายได้เกิน 100,000 บาท/เดือน ช่วยให้สามารถจำกัดกลุ่มเป้าหมายที่มีศักยภาพในการซื้อสูงจริงๆ ได้ชัดเจน การเลือกจังหวัดและเพศร่วมด้วยช่วยให้ยิงโฆษณาได้แม่นขึ้น ลดการส่งโฆษณาไปยังกลุ่มที่ไม่ตรงตามคุณสมบัติ นอกจากนี้การนำข้อมูลเหล่านี้ไปใช้สร้าง Custom Audience และ Lookalike 1% ใน Facebook Ads เป็นเทคนิคที่ช่วยขยายกลุ่มได้อย่างมีประสิทธิภาพมากขึ้น โดยกลุ่ม Lookalike จะสะท้อนพฤติกรรมและลักษณะของกลุ่มลูกค้าที่พร้อมซื้อจริง ทำให้โฆษณาเข้าถึงกลุ่มคนที่มีโอกาสซื้อสูงตั้งแต่วันแรก ปัญหาที่เคยเจอบ่อยคือมีคนทักแชทสอบถามแต่ไม่ซื้อสินค้าหรือบริการก็ลดลงอย่างเห็นได้ชัด สำหรับสินค้าพรีเมียมหรือบริการที่ต้องการกลุ่มลูกค้ากำลังซื้อสูง เช่น คอร์สเรียนราคาแพง รถยนต์ อสังหาริมทรัพย์ คลินิกเสริมความงาม หรืออุปกรณ์อิเล็กทรอนิกส์ราคาสูง การยิงแอดแบบนี้ช่วยประหยัดเงินและเพิ่ม ROAS ให้กับแคมเปญได้หลายเท่า เพราะโฆษณาจะไปปรากฏแค่กลุ่มที่มี Intent ซื้อมากจริงๆ ความน่าสนใจอีกอย่างคือฐานข้อมูลนี้อัพเดททุกไตรมาส และเป็นข้อมูลที่ได้จากการวิจัยตลาดไม่ละเมิดความเป็นส่วนตัว (PDPA) จึงใช้งานร่วมกับระบบโฆษณา Facebook ได้อย่างถูกต้องและปลอดภัย สุดท้ายการมีพาร์ทเนอร์ฐานข้อมูลที่ให้บริการกับลูกค้ารายใหญ่ระดับประเทศ เช่น CIMB, AMEX, BMW, Centara และ Sansiri ยังช่วยยืนยันถึงความน่าเชื่อถือของข้อมูล ซึ่งช่วยให้มั่นใจว่าแคมเปญยิงโฆษณาถูกต้องและได้ประสิทธิภาพสูงสุด จากประสบการณ์ของผม การยิงแอดด้วยแนวทางนี้เป็นการปฏิวัติการตลาดออนไลน์สำหรับสินค้าพรีเมียมอย่างแท้จริง ช่วยลดความสูญเปล่าของงบโฆษณาและพาธุรกิจไปสู่ความสำเร็จได้เร็วขึ้นมาก

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