๋ฐ์ดํ„ฐ ๋ถ„์„/Today I learned :

[๋งˆ์ผ€ํŒ…์„ ์œ„ํ•œ ๋ฐ์ดํ„ฐ๋ถ„์„3-1] ๊ธฐ์ˆ ์  ๋ฐฉ๋ฒ•(ํผ๋„, Descriptive/Predictive Analytics, ROI&ROAS)

์ฃผ์˜ ๐Ÿฑ 2022. 12. 2. 17:07
728x90

Funnel (ํผ๋„)

๊น”๋Œ€๊ธฐ๋ผ๋Š” ๋œป์ด์ง€๋งŒ, ๋งˆ์ผ€ํŒ…์—์„œ๋Š” ์†Œ๋น„์ž๊ฐ€ ๊ณ ๊ฐ์ด ๋˜๋Š” ๊ณผ์ •์„ ์˜๋ฏธํ•œ๋‹ค. 

Sales funnel = purchase funnel

- ์ƒํ’ˆ์ด๋‚˜ ์„œ๋น„์Šค์˜ ๊ตฌ๋งค๋ฅผ ํ–ฅํ•œ ์ด๋ก ์ ์ธ ๊ณ ๊ฐ ์—ฌ์ •์„ ๋ณด์—ฌ์ฃผ๋Š” ์†Œ๋น„์ž ์ค‘์‹ฌ์˜ ๋งˆ์ผ€ํŒ… ๋ชจ๋ธ

<ํผ๋„์˜ ๊ธฐ๋ณธ์ ์ธ ๊ตฌ์กฐ> 

1. awareness(์ธ์‹): user๊ฐ€ ๋ธŒ๋žœ๋“œ, ์ œํ’ˆ์— ๋Œ€ํ•ด ์ธ์‹ํ•˜๊ณ  ์žˆ๋Š” ๋‹จ๊ณ„

2. interest : understanding, discovery๋ผ๊ณ ๋„ ํ•œ๋‹ค. 

3. decision : consideration์ด๋ผ๊ณ ๋„ ํ•œ๋‹ค. ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๊ธฐ ์‹œ์ž‘ํ•˜๋Š” ๋‹จ๊ณ„์ด๋‹ค. 

4. Action, Sales, Conversion : ์‹ค์ œ๋กœ ๊ตฌ๋งคํ•˜๋Š” ๋‹จ๊ณ„

5. loyalty : repurchase, ์žฌ๊ตฌ๋งคํ•˜๋Š” ๋‹จ๊ณ„์ด๋‹ค. 

ํผ๋„์€ ๋งˆ์ผ€ํ„ฐ์—๊ฒŒ ์žˆ์–ด์„œ ๊ณ ๊ฐ์ด ๊ตฌ๋งค/์žฌ๊ตฌ๋งคํ•˜๋Š” ์—ฌ์ •์„ ์‹œ๊ฐํ™”ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. 

 

<ํผ๋„์˜ ๋ชฉํ‘œ>

1. ๊ฐœ์ธ์ด ๊ฐ ๋‹จ๊ณ„์—์„œ ๋‹ค์Œ ๋‹จ๊ณ„๋กœ ๋„˜์–ด๊ฐ€๊ฒŒ ํ•œ๋‹ค. 

2. ๊ฐ ๋‹จ๊ณ„์˜ ์ „ํ™˜์œจ์„ ๋†’์—ฌ ๊ฐ€๋Šฅํ•œ ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด funnel์„ ํ†ต๊ณผํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. 

 

<ํผ๋„์„ ์–ด๋””์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์„๊นŒ?>

- ํˆฌ์ž์ˆ˜์ต๋ฅ , ๊ด‘๊ณ ์ˆ˜์ต๋ฅ  ๋“ฑ์— ๊ด€ํ•ด ์ด์•ผ๊ธฐ ํ•  ๋•Œ


Descriptive Analytics ๊ณผ Predictive Analytics

Descriptive Analytics Predictive Analytics
๊ณผ๊ฑฐ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ์–ด๋–ค ์ผ์ด ์ผ์–ด๋‚ฌ๋Š”์ง€ ์„ค๋ช…
ํŒŒ์ด์ฐจํŠธ, ์‚ฐ์ ๋„, ๋ผ์ธ ๊ทธ๋ž˜ํ”„ ๋“ฑ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋‹ค. 

์ด๋ฅผ ํ†ตํ•ด ๋‹ตํ•  ์ˆ˜ ์žˆ๋Š” ์งˆ๋ฌธ:

์šฐ๋ฆฌ์˜ ์—ฐ๊ฐ„ ์ˆ˜์ต์€?
์ง€๋‚œ 12๊ฐœ์›”๊ฐ„ ์žฌ๊ณ  ์ด๋™์€?
์ง€๋‚œ 6๊ฐœ์›”๊ฐ„ ๊ณ ์šฉํ•œ ์‚ฌ๋žŒ ์ˆ˜๋Š”?
์šฐ๋ฆฌ์˜ ํŽ˜์ด์Šค๋ถ ํŽ˜์ด์ง€์˜ ์ฐธ์—ฌ์œจ์€?
๊ณผ๊ฑฐ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ด ๋ฏธ๋ž˜์— ์ผ์–ด๋‚  ์ผ์„ ์„ค๋ช…
ML, DL ๋“ฑ์˜ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•œ๋‹ค. 

can't tell the future, can tell what's likely to happen

์ด๋ฅผ ํ†ตํ•ด ๋‹ตํ•  ์ˆ˜ ์žˆ๋Š” ์งˆ๋ฌธ:

๋‹ค์Œ 12๊ฐœ์›”์˜ ์˜ˆ์ƒ ์ˆ˜์ต์€?
ํŒ€์„ ํ‚ค์šฐ๋ฉด ์–ผ๋งˆ๋‚˜ ์ดˆ๊ณผ ๊ทผ๋ฌด๊ฐ€ ์ค„๊ฒƒ์ธ๊ฐ€?

improving business effciency, staffing, fraud dection, risk analysis, marketing efforts, sales planning ๋“ฑ

 

๋””์ง€ํ„ธ ๋งˆ์ผ€ํŒ…์˜ ์„ฑ๊ณผ ์ธก์ • ์ง€ํ‘œ : ROI & ROAS

ROAS(return on ad spend, ๊ด‘๊ณ  ์ˆ˜์ต๋ฅ ) 

ROI(Return On Investment, ํˆฌ์ž ์ˆ˜์ต๋ฅ ) - ์ „์ฒด์ ์ธ ๊ด€์ , revenue๊ฐ€ ์•„๋‹Œ profit

ex) $100์„ ๊ด‘๊ณ ์— ์“ฐ๊ณ , $500์„ ๋ฒŒ์—ˆ๋‹ค๊ณ  ํ•ด๋ณด์ž

ROAS ROI
500/100*100 = 500% product sold = $500
ad = -$100
costs of goods sold = -$100
production costs = -$200
salary costs = -$100

net profit(์ˆœ์ด์ต) = $0
net spend(์ˆœ์ง€์ถœ) = $500

ROI = 0%
๋ฐ˜์‘ํ˜•