๐Ÿงฎ ๊ทธ๋กœ์Šค ๋ชจ๋ธ๋ง์˜ ๊ธฐ์ดˆ (๋ถ€์ œ: ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์ˆ˜์‹์œผ๋กœ ํ‘œํ˜„ํ•˜๊ธฐ)

๊ทธ๋กœ์Šค ๋ชจ๋ธ๋ง์˜ ๊ธฐ์ดˆ | ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์ˆ˜์‹์œผ๋กœ ํ‘œํ˜„ํ•˜๋Š” ๋ฐฉ๋ฒ• | Lenny's Newsletter (๋ ˆ๋‹ˆ ๋‰ด์Šค๋ ˆํ„ฐ) | ์Šคํƒ€ํŠธ์—… ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ ๋ถ„์„ (B2B SaaS, B2C/์†Œ๋น„์žฌ, ๋งˆ์ผ“ ํ”Œ๋ ˆ์ด์Šค, DTC/์ด์ปค๋จธ์Šค ๋“ฑ)

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๐Ÿงฎ ๊ทธ๋กœ์Šค ๋ชจ๋ธ๋ง์˜ ๊ธฐ์ดˆ (๋ถ€์ œ: ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์ˆ˜์‹์œผ๋กœ ํ‘œํ˜„ํ•˜๊ธฐ)
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์ด ๊ธ€์€, Lenny's newsletter์˜ "How to describe your business as an equation"์ด๋ž€ ๊ธ€์˜ ๋ฒˆ์—ญ๋ณธ ์ž…๋‹ˆ๋‹ค. ๊ฐœ์ธ์ ์ธ ํ•™์Šต์˜ ๊ณผ์ •์—์„œ, ๋” ๋งŽ์€ ๋ถ„๋“ค๊ป˜ ์ข‹์€ ๊ธ€์„ ์†Œ๊ฐœ๋“œ๋ฆฌ๊ณ ์ž ํ•˜๋Š” ๋ชฉ์ ์œผ๋กœ ๊ณต์œ ํ•ฉ๋‹ˆ๋‹ค.

๋ชจ๋“  ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ๊ฐ„๋‹จํ•œ ์ˆ˜์‹์œผ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๋ฆฌ๊ณ  ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ํ•˜๋‚˜์˜ ์ˆ˜์‹์œผ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์„ ๋•Œ๊นŒ์ง€๋Š” ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์™„์ „ํžˆ ์ดํ•ดํ•˜์ง€ ๋ชปํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

์ด ๋ฐฉ์ •์‹์„ ํŒŒ์•…ํ•˜๋ฉด ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์ด๋„๋Š” ํˆฌ์ž… ์š”์†Œ, ์šฐ์„ ์ˆœ์œ„๋ฅผ ์ •ํ•˜๊ณ  ์‹ถ์€ ์•„์›ƒํ’‹, ์ด๋Ÿฌํ•œ ๋ณ€์ˆ˜๊ฐ€ ์ƒํ˜ธ ์ž‘์šฉํ•˜๋Š” ๋ฐฉ์‹์— ๋Œ€ํ•ด ์ƒ๊ฐํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์–ด๋–ค ์ง€ํ‘œ๋ฅผ ์ถ”์ ํ•ด์•ผ ํ•˜๋Š”์ง€, ๋น„์ฆˆ๋‹ˆ์Šค ์„ฑ์žฅ์„ ์ด๋„๋Š” ์š”์ธ์€ ๋ฌด์—‡์ธ์ง€, ๊ทธ๋ฆฌ๊ณ  ๊ฐ€์žฅ ์ค‘์š”ํ•œ ๊ฒƒ์€ ์–ด๋””์—์„œ ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ๋ ฅ์„ ๋ฐœํœ˜ํ•  ์ˆ˜ ์žˆ๋Š”์ง€(๋”ฐ๋ผ์„œ ๊ท€์ค‘ํ•œ ์ธ๋ ฅ๊ณผ ๋ฆฌ์†Œ์Šค๋ฅผ ์–ด๋””์— ๋ฐฐ์น˜ํ•ด์•ผ ํ•˜๋Š”์ง€)๋ฅผ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๋Š” ์ง€๋„๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

์—ฌ๋Ÿฌ๋ถ„๋งŒ์˜ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฐฉ์ •์‹์„ ๊ตฌ์ฒดํ™”ํ•  ์ˆ˜ ์žˆ๋„๋ก Dan Hockenmaier์™€ ์ œ๊ฐ€ ๊ฐ€์žฅ ์ผ๋ฐ˜์ ์ธ ๊ธฐ์ˆ  ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์— ๋Œ€ํ•œ ์˜ˆ์‹œ ๋ฐฉ์ •์‹์„ ์ •๋ฆฌํ•ด ๋ณด์•˜์Šต๋‹ˆ๋‹ค:

  1. B2B SaaS
    1. Bottom-up B2B SaaS with seat-based pricing
    2. Bottom-up B2B SaaS with usage-based pricing
    3. Top-down B2B SaaS
  2. B2C/consumer
    1. B2C subscription (trial or freemium)
    2. B2C free (ads)
  3. Marketplaces
    1. B2C marketplaces
    2. B2B marketplaces
  4. DTC/e-commerce

๋‰ด์Šค๋ ˆํ„ฐ ๊ตฌ๋…ํ•˜์‹œ๊ณ , ์ „์ฒด ๊ธ€์„ ํ™•์ธํ•ด๋ณด์„ธ์š”.

๋จผ์ € ๋ช‡ ๊ฐ€์ง€ ๊ณ ์ง€ ์‚ฌํ•ญ์„ ๋ง์”€๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค:

  1. ์‰ฝ์ง€ ์•Š์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ˆ˜์‹๊ณผ ๊ฐœ๋…์€ ํšŒ์‚ฌ ๋‚ด์—์„œ, ํŠนํžˆ ์ œํ’ˆ, GTM, ์žฌ๋ฌด ๋ฐ ์˜์—… ํŒ€ ๊ฐ„์— ๊ฐ€์žฅ ๋ถ„์—ด์ ์ธ ์š”์†Œ๊ฐ€ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ผ๋‹จ ์ˆ˜์‹์„ ์ •์˜ํ•˜๊ณ , ํŒ€์„ ์กฐ์œจํ•˜๊ณ , ์ˆ˜์‹์„ ์‹คํ–‰์— ์˜ฎ๊ธฐ๋ฉด ๋ชจ๋‘๊ฐ€ ๋™์ผํ•œ(๋ ˆ๋ฒ„๋ฆฌ์ง€๊ฐ€ ๋†’์€) ์š”์†Œ์— ์—๋„ˆ์ง€๋ฅผ ์ง‘์ค‘ํ•˜๊ฒŒ ๋˜๋ฏ€๋กœ ์—„์ฒญ๋‚œ ํž˜์˜ ๋ฐฐ์ˆ˜๋ฅผ ๊ฒฝํ—˜ํ•˜๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.
  2. ์™„๋ฒฝํ•˜์ง€๋Š” ์•Š์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋‹ค์–‘ํ•œ '๋ ˆ์‹œํ”ผ'๋ฅผ ์ œ์‹œํ•˜์ง€๋งŒ, ๋ชจ๋“  ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ๊ณ ์œ ํ•œ ํŠน์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ด ๋ฐฉ์ •์‹์„ ๋น„์ฆˆ๋‹ˆ์Šค์— ๋งž๊ฒŒ ์ผ๋ถ€ ์กฐ์ •ํ•ด์•ผ ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ €ํฌ๊ฐ€ ๋†“์ณค๋‹ค๊ณ  ์ƒ๊ฐ๋˜๋Š” ๋ถ€๋ถ„์ด๋‚˜ ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๊ณ ์œ ํ•œ ํŠน์„ฑ์œผ๋กœ ์ธํ•ด ์‚ฌ์šฉ ์ค‘์ธ ๊ณต์‹์„ ์ˆ˜์ •ํ•ด์•ผ ํ•˜๋Š” ๋ถ€๋ถ„์— ๋Œ€ํ•ด ํ”ผ๋“œ๋ฐฑ์„ ๋ณด๋‚ด์ฃผ์‹œ๊ฑฐ๋‚˜ ์•„๋ž˜์— ๋Œ“๊ธ€์„ ๋‚จ๊ฒจ ์ฃผ์„ธ์š”. ๊ธฐ๊บผ์ด ๋“ฃ๊ณ  ์‹ถ์Šต๋‹ˆ๋‹ค.
  3. ์šฐ๋ฆฌ๋Š” ARR๊ณผ ์ˆ˜์ต์— ์ดˆ์ ์„ ๋งž์ถ”์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ชจ๋“  ๋ฐฉ์ •์‹์€ ์ˆ˜์ต ๋˜๋Š” ARR์„ ์‚ฐ์ถœํ•ฉ๋‹ˆ๋‹ค. ์ผ๋ถ€ SaaS ๋น„์ฆˆ๋‹ˆ์Šค์ฒ˜๋Ÿผ ์ด ๋งˆ์ง„์ด ๋†’์€ ๋น„์ฆˆ๋‹ˆ์Šค(์˜ˆ: 80%~90% ์ด์ƒ)๋ผ๋ฉด ์—ฌ๊ธฐ์„œ ๋ฉˆ์ถœ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ DTC ๋ฐ ๋Œ€๋ถ€๋ถ„์˜ ๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค์™€ ๊ฐ™์ด ๋งค์ถœ ์›๊ฐ€๊ฐ€ ์˜๋ฏธ ์žˆ๋Š” ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๊ฒฝ์šฐ, ์˜คํžˆ๋ ค ๊ณตํ—Œ๋„ ๋งˆ์ง„๊ณผ ๊ฐ™์€ ์ง€ํ‘œ๋ฅผ ์‚ฐ์ถœํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฝ์šฐ์—๋Š” ๊ฒŒ์‹œ๋ฌผ ๋์— ์žˆ๋Š” ๋ฐฉ์ •์‹์— ๋งˆ์ง„ ์ถ”๊ฐ€ํ•˜๊ธฐ ์„น์…˜์„ ์ฐธ์กฐํ•˜์„ธ์š”.
  4. ๋น„์ฆˆ๋‹ˆ์Šค ๋ฐฉ์ •์‹์ด ๋ชจ๋“  ์ค‘์š”ํ•œ ์ง€ํ‘œ๋ฅผ ํฌ๊ด„ํ•˜์ง€๋Š” ์•Š์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ๋น„์ฆˆ๋‹ˆ์Šค์˜ ํ•ต์‹ฌ ์ง€ํ‘œ ์ค‘ ํ•˜๋‚˜๋Š” ๊ณ ๊ฐ ํ™•๋ณด ํšŒ์ˆ˜ ๊ธฐ๊ฐ„์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์•„๋ž˜ ๋ฐฉ์ •์‹๊ณผ ๊ด€๋ จ์ด ์žˆ์ง€๋งŒ ์ง์ ‘์ ์œผ๋กœ ์„ค๋ช…ํ•˜์ง€๋Š” ์•Š์Šต๋‹ˆ๋‹ค. ํˆฌ์ž ํšŒ์ˆ˜ ๊ธฐ๊ฐ„์„ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐฉ๋ฒ•์€ ๋งˆ์ง€๋ง‰์— ๋‚˜์˜ค๋Š” ์„น์…˜์„ ์ฐธ์กฐํ•˜์„ธ์š”.

์ด ๊ฒŒ์‹œ๋ฌผ์„ ์ตœ๋Œ€ํ•œ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•

  1. ์•„๋ž˜ ๊ณต์‹์—์„œ ์˜๊ฐ์„ ์–ป์–ด ์ž์‹ ๋งŒ์˜ ๋น„์ฆˆ๋‹ˆ์Šค ์ˆ˜ํ•™ ๊ณต์‹์„ ๋งŒ๋“ค์–ด ๋ณด์„ธ์š”.
  2. ์ด ๊ณต์‹์„ ํ†ตํ•ด ๋น„์ฆˆ๋‹ˆ์Šค๊ฐ€ ์–ด๋–ป๊ฒŒ ์„ฑ์žฅํ•˜๋Š”์ง€์— ๋Œ€ํ•ด ํŒ€์›๋“ค๊ณผ ํ† ๋ก ํ•˜์„ธ์š”.
  3. ๊ณต์‹ ๋‚ด์—์„œ ๊ฐ€์žฅ ํ™œ์šฉ๋„๊ฐ€ ๋†’์€ ์ง€๋ ›๋Œ€๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ๊ทธ ์ง€๋ ›๋Œ€์— ๋” ๋งŽ์€ ๋ฆฌ์†Œ์Šค๋ฅผ ํˆฌ์ž…ํ•˜์„ธ์š”.
  4. ์•„์ง ํˆฌ์žํ•˜์ง€ ์•Š์€ ์ƒˆ๋กœ์šด ๋ ˆ๋ฒ„๋ฆฌ์ง€ ํ•œ ๊ฐ€์ง€๋ฅผ ์ฐพ์•„์„œ ์‹คํ—˜ํ•ด ๋ณด์„ธ์š”.
  5. ์ด ๊ณต์‹์„ ๋ณธ๊ฒฉ์ ์ธ ๊ทธ๋กœ์Šค ๋ชจ๋ธ๋กœ ์ „ํ™˜ํ•ฉ๋‹ˆ๋‹ค(ํ–ฅํ›„ ํฌ์ŠคํŠธ์—์„œ ์‚ดํŽด๋ณผ ๋‚ด์šฉ).

B2B SaaS equations

B2B SaaS ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ํด๋ผ์šฐ๋“œ์—์„œ ํ˜ธ์ŠคํŒ…๋˜๋Š” ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ๊ตฌ๋… ๊ธฐ๋ฐ˜์œผ๋กœ ๋‹ค๋ฅธ ๋น„์ฆˆ๋‹ˆ์Šค(B2B)์— ํŒ๋งคํ•ฉ๋‹ˆ๋‹ค(์ฆ‰, ์„œ๋น„์Šคํ˜• ์†Œํ”„ํŠธ์›จ์–ด(SaaS)์ž…๋‹ˆ๋‹ค). ์˜ˆ๋กœ๋Š” Snowflake, Slack, Jira ๋“ฑ์ด ์žˆ์Šต๋‹ˆ๋‹ค.

B2B SaaS ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ์‹œํŠธ๋‹น(์˜ˆ: Slack) ๋˜๋Š” ์‚ฌ์šฉ๋Ÿ‰(์˜ˆ: Datadog) ์ค‘ ํ•œ ๊ฐ€์ง€ ๋ฐฉ์‹์œผ๋กœ ์ˆ˜์ต์„ ์ฐฝ์ถœํ•˜๋ฉฐ, Bottom-up ๋ฐฉ์‹(์˜ˆ: ํšŒ์‚ฌ ๋‚ด ๊ฐœ๋ณ„ ์ง์›์ด ์Šค์Šค๋กœ ์ œํ’ˆ์„ ๋ฐœ๊ฒฌํ•˜๋Š” ๋ฐฉ์‹) ๋˜๋Š” Top-down ๋ฐฉ์‹(์˜ˆ: ์˜์—…์‚ฌ์›์ด ํšŒ์‚ฌ ๊ฒฝ์˜์ง„์—๊ฒŒ ์ œํ’ˆ์„ ํŒ๋งคํ•˜๋Š” ๋ฐฉ์‹) ์ค‘ ํ•˜๋‚˜๋กœ ์„ฑ์žฅํ•ฉ๋‹ˆ๋‹ค(์˜ˆ: Salesforce ๋ฐ Box). ์ •ํ™•ํžˆ ๊ฐ™์€ ๊ฒƒ์€ ์•„๋‹ˆ์ง€๋งŒ, ์ƒํ–ฅ์‹ ์„ฑ์žฅ ๋ชจ์…˜์€ ์‹ค์ œ๋กœ๋Š” '์ œํ’ˆ ์ฃผ๋„ ์„ฑ์žฅ'(PLG) ๋ชจ์…˜๊ณผ ๋ณธ์งˆ์ ์œผ๋กœ ๋™์ผํ•ฉ๋‹ˆ๋‹ค.

์•„๋ž˜์—์„œ๋Š” ๊ฐ€์žฅ ์ผ๋ฐ˜์ ์ธ ์„ธ ๊ฐ€์ง€ B2B SaaS ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์„ ์‚ดํŽด๋ณด๊ณ , ๊ฐ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฐฉ์ •์‹์˜ ๋‹จ์ˆœํ™”๋œ ๋ฒ„์ „(์ด๋ฏธ์ง€)๊ณผ ๊ทธ ์•„๋ž˜ ํ…์ŠคํŠธ์˜ ์ „์ฒด ๋ฐฉ์ •์‹์„ ๊ณต์œ ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.

1. Bottom-up B2B SaaS with seat-based pricing

Examples: Figma, Slack, Zoom, Adobe Creative Cloud, Asana, Jira.

ARR = New ARR + Expansion ARR + Reactivation ARR โ€“ Churned ARR โ€“ Contraction ARR

  • New ARR = New seats * price per seat
    • New seats = Visitors * conversion to trial/freemium * conversion to paid * seats per account
      • Visitors
        • Paid ads
        • SEO
        • Direct (e.g. word of mouth, virality)
        • Referral (e.g. G2, social, articles)
        • Turbo boosts
      • Conversion to trial/freemium
        • Visit to CTA
        • CTA to signup
        • Signup to activation
      • Conversion to paid
        • Awareness of paid plan
        • Starting the purchase process to completing the purchase process
        • Value of product
        • Lead nurturing
  • Expansion ARR = Accounts upsold * average price increase
    • Accounts upsold
      • In-product upsells
      • Outbound
      • Hitting limits
    • Average price increase
      • Seat growth
        • Headcount growth
        • Internal virality
          • Colleague invite rate
          • Invite conversion rate
      • Cross-sold products (e.g. Figma -> FigJam)
      • Hitting more expensive tiers
      • Raising prices
  • Reactivation ARR
    • Reactivated logos
    • Reactivated seats
  • Churned ARR
    • Churned logos
  • Contraction ARR
    • Seat contraction
    • Downgrading tiers
    • Stopped using additional products

2. Bottom-up B2B SaaS with usage-based pricing

Examples: AWS, Datadog, Twilio

ARR = New ARR + Expansion ARR + Reactivation ARR โ€“ Churned ARR โ€“ Contraction ARR

  • New ARR = New usage * price for usage
    • New usage = Visitors * conversion to trial/freemium * conversion to paid
      • Visitors
        • Paid ads
        • SEO
        • Direct (e.g. WOM, virality)
        • Referral (e.g. G2)
        • Turbo boosts
      • Conversion to trial/freemium
        • Visit to CTA
        • CTA to signup
        • Signup to activation
      • Conversion to paid
        • Awareness of paid plan
        • Starting the purchase process to completing the purchase process
        • Value of product
        • Inbound sales/account managers nurturing leads
    • Price for usage
  • Expansion ARR = Accounts upsold * average price increase
    • Accounts upsold
      • In-product upsells
      • Outbound
      • Hitting limits
    • Average price increase
      • Usage growth
        • Headcount growth
        • Internal virality
          • Colleague invite rate
          • Invite conversion rate
        • Data/customer/use-cases growth
      • Cross-sold products (e.g. Figma -> FigJam)
      • Hitting more expensive tiers
      • Raising prices
  • Reactivation ARR
    • Reactivated logos
    • Reactivated users
  • Churned ARR
    • Churned logos
  • Contraction ARR
    • Reduced usage
    • Downgrading tiers
    • Stopped using additional products

3. Top-down (sales-led) B2B SaaS

Examples: Snowflake, Box, Salesforce, Workday, Looker

์ด ์นดํ…Œ๊ณ ๋ฆฌ์—๋Š” ์‹œํŠธ ๊ธฐ๋ฐ˜ ์š”๊ธˆ์ œ์™€ ์‚ฌ์šฉ๋Ÿ‰ ๊ธฐ๋ฐ˜ ์š”๊ธˆ์ œ๊ฐ€ ๋ชจ๋‘ ํฌํ•จ๋˜๋ฉฐ, ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์ „์— ํ˜‘์˜๋œ ์—ฐ๊ฐ„ ๊ณ„์•ฝ์œผ๋กœ ์ด๋ฃจ์–ด์ง‘๋‹ˆ๋‹ค.

ARR = New ARR + Expansion ARR + Reactivation ARR โ€“ Churned ARR โ€“ Contraction ARR

  • New ARR = Leads * qualified leads rate * meeting booked rate * win rate * ACV
    • Leads = Direct + indirect
      • Direct = Outbound + inbound
        • Outbound
          • Cold emails
          • Cold calls
          • Cold DMs
          • Events
        • Inbound
          • Paid ads
          • SEO
          • Referrals (e.g. G2, backlink, social mentions)
          • Direct (e.g. signs up for demo on website)
          • Turbo boosts
      • Indirect
        • Channel partnerships
          • Number of partnerships
          • Leads per partner
          • Conversion rate
  • Expansion ARR = Accounts upsold * average price increase
    • Accounts upsold
      • In-product upsells
      • Sales nurturing
      • Hitting limits
    • Average price increase
      • Seat/usage growth
        • Headcount growth
        • Internal virality
          • Colleague invite rate
          • Invite conversion rate
        • Data/customer/use-cases growth
      • Cross-sold products (e.g. Figma -> FigJam)
      • Hitting more expensive tiers
      • Raising prices
  • Reactivation ARR
    • Reactivated logos
    • Reactivated users
  • Churned ARR
    • Churned logos
  • Contraction ARR
    • Reduced seats/usage
    • Downgrading tiers
    • Stopped using additional products

B2C/consumer equations

์†Œ๋น„์žฌ ๊ธฐ์—…์€ ๊ฐœ์ธ ์†Œ๋น„์ž๋ฅผ ์œ„ํ•œ ์†Œํ”„ํŠธ์›จ์–ด ์ œํ’ˆ์„ ๋งŒ๋“ญ๋‹ˆ๋‹ค.
Examples : Netflix, TikTok, Google.

์†Œ๋น„์ž ์ œํ’ˆ์€ ์ผ๋ฐ˜์ ์œผ๋กœ ๋‹ค์Œ ๋‘ ๊ฐ€์ง€ ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋กœ ์ˆ˜์ต์„ ์ฐฝ์ถœํ•ฉ๋‹ˆ๋‹ค โ€”๊ตฌ๋… (subscriptions - e.g. Duolingo, Spotify, Tinder)๊ณผ ๊ด‘๊ณ  (Ads- e.g. Instagram, Snap, YouTube). ์•„๋ž˜์—์„œ ์ด ๋‘ ๊ฐ€์ง€ ๋ชจ๋ธ์„ ์‚ดํŽด๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.

4. B2C with subscription-based pricing (trial or freemium)

Examples: Duolingo, Spotify, Tinder, Calm, Strava, MyFitnessPal

ARR = MRR x 12 = (New subs + Retained subs + Reactivated subs) * Average monthly revenue per sub * 12

  • New subs = Traffic * visit to trial/freemium conversion * trial to paid conversion
    • Traffic
    • Visit to trial/freemium conversion
      • Visit to onboarding
      • Onboarding to activation
    • Trial to paid conversion
      • Awareness of paid plan
      • Starting to purchase to completing purchase
  • Retained subs
  • Reactivated subs
  • Average monthly revenue per sub
    • % annual vs. monthly subs
    • % premium vs. basic subs

5. B2C with ads (i.e. free for the user)

Examples: Instagram, Google, TikTok, Meta, Snap, Twitter

Revenue = Active users * Impressions per user * CPM/CPC/CPA

  • Active users = New users in period + retained users from prior periods
    • New users = Traffic * conversion
      • Traffic
        • Paid ads
        • SEO
        • Direct/WOM
        • Organic social
        • Referrals (i.e. invites)
        • Turbo boosts
      • Conversion
        • Visit to onboarding
        • Onboarding to activation
    • Retained users from prior period
      • Quality of product and experience
      • Re-engagement (upsell/cross-sell)
  • Impressions per user = Sessions * impressions per session * sessions per user
    • Sessions
      • Pulling user back
    • Impressions per session
      • Ad load
    • Sessions per user
  • CPM/CPC/CPA
    • User quality
      • Geo
      • Income
      • Profession
      • Conversion rate from click to purchase

Marketplace equations

๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ๊ตฌ๋งค์ž์™€ ํŒ๋งค์ž ๊ฐ„์˜ ๊ฑฐ๋ž˜๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.
Examples : Airbnb, DoorDash, Uber, eBay, and Faire.

์ด๋Ÿฌํ•œ ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ๊ณต๊ธ‰๋ง์„ ์†Œ์œ ํ•˜์ง€ ์•Š์ง€๋งŒ, (e.g. the homes, the cars, the restaurants) ๋Œ€์‹  ๊ณ ๊ฐ์ด ์ด๋Ÿฌํ•œ ํŒ๋งค์ž๋ฅผ ์‰ฝ๊ฒŒ ์ฐพ๊ณ  ๊ตฌ๋งคํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ฉ๋‹ˆ๋‹ค.

๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค๋Š” ์ฃผ๋กœ ๊ฑฐ๋ž˜ ์ˆ˜์ˆ˜๋ฃŒ๋ฅผ ํ†ตํ•ด, ๋•Œ๋กœ๋Š” ๊ตฌ๋…๋ฃŒ๋ฅผ ํ†ตํ•ด ์ˆ˜์ต์„ ์ฐฝ์ถœํ•ฉ๋‹ˆ๋‹ค.
๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค์—๋Š” ๊ฐœ์ธ ์†Œ๋น„์ž ๊ณ ๊ฐ์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋Š” B2B ๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค(์˜ˆ: Airbnb, Uber)์™€ ๊ธฐ์—… ๊ณ ๊ฐ์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋Š” B2B ๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค(์˜ˆ: Faire, Pachama)์˜ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์ด ์žˆ์Šต๋‹ˆ๋‹ค.

6. B2C marketplaces

Examples: Airbnb, Uber, DoorDash, Etsy, eBay

Revenue = Transactions * AOV * Take rate

  • Transactions = (New traffic + returning customers) * conversion to purchase
    • New traffic
    • Returning customers
      • Quality of product and experience
      • Re-engagement (upsell/cross-sell)
    • Conversion to purchase
      • Visit to search
      • Search to product page
      • Product page to start checkout
      • Start checkout to complete purchase
  • AOV
  • Take rate
    • Supply-side commission +
    • Demand-side commission +
    • Additional revenue per transaction
      • Subscriptions
      • Financing fees

7. B2B marketplaces

Examples: Faire, Amazon Business, Pachama, Novi

Revenue = Transactions * AOV * Take rate

  • Transactions = Active customers * transactions/customer 
    • Active customers = New activated customers + retained customers 
      • New activated customers = Signups * conversion from signup to activation
        • Signups 
          • Inbound 
          • Outbound 
            • Calls 
            • Emails
            • DMs
        • Conversion from signup to activation 
          • Visit to search
          • Search to product page
          • Product page to start checkout
          • Start checkout to complete purchase
      • Retained customers 
        • Conversion of new to retained customers + 
        • Resurrection of previously active customers โ€“ 
        • Churned customers
    • Transactions/customer 
      • Quality of product and experience
      • Re-engagement (upsell/cross-sell)
  • AOV
  • Take rate
    • Supply-side commission +
    • Demand-side commission +
    • Additional revenue per transaction
      • Subscriptions
      • Financing fees

8. DTC/e-commerce equation

๋งˆ์ง€๋ง‰์œผ๋กœ, ๊ฐœ์ธ์—๊ฒŒ ์‹ค์ œ ์ œํ’ˆ์„ ํŒ๋งคํ•˜๋Š” ์†Œ๋น„์ž ์ง์ ‘ ํŒ๋งค(DTC) ๋ฐ ์ด์ปค๋จธ์Šค ๋น„์ฆˆ๋‹ˆ์Šค๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. Warby Parker, Casper, Glossier, and Dollar Shave Club ๊ฐ™์€ ๊ธฐ์—…์ด ์—ฌ๊ธฐ์— ํ•ด๋‹นํ•ฉ๋‹ˆ๋‹ค.

Revenue = Transactions * AOV

  • Transactions = Traffic * conversion rate
    • Traffic = New traffic + returning traffic
      • New traffic
      • Returning traffic
        • Quality of product and experience
        • Re-engagement (upsell/cross-sell)
    • Conversion rate
      • Visit to search
      • Search to product page
      • Product page to start checkout
      • Start checkout to complete purchase
  • AOV (average order value)

๋น„์ฆˆ๋‹ˆ์Šค ๋ฐฉ์ •์‹์— ๋งˆ์ง„ ์ถ”๊ฐ€ํ•˜๊ธฐ (Adding margin to your business equation)

๋งค์ถœ ์›๊ฐ€๊ฐ€ ์ถฉ๋ถ„ํžˆ ๋†’์€ ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๊ฒฝ์šฐ ๋งค์ถœ์—์„œ ๋ฉˆ์ถœ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. ์‹ค์ œ๋กœ ์ตœ์ ํ™”ํ•ด์•ผ ํ•˜๋Š” ๊ฒƒ์€ ๊ธฐ์—ฌ ๋งˆ์ง„, ์ฆ‰ ๊ฑฐ๋ž˜์˜ ๋ชจ๋“  ๋ณ€๋™ ๋น„์šฉ์„ ์ œํ•˜๊ณ  ๋‚จ์€ ๊ธˆ์•ก์ž…๋‹ˆ๋‹ค.

์ด๋Š” ๋น„์ฆˆ๋‹ˆ์Šค์— ์žฌํˆฌ์žํ•  ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ต์ด ์–ผ๋งˆ๋‚˜ ๋‚จ์•˜๋Š”์ง€๋ฅผ ๋‚˜ํƒ€๋‚ด๋ฏ€๋กœ ์ค‘์š”ํ•œ ์ง€ํ‘œ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ ARR์˜ ๋ฐฐ์ˆ˜๋กœ ํ‰๊ฐ€๋˜๋Š” SaaS์™€ ๊ฐ™์€ ๊ณ ์ˆ˜์ต ๋น„์ฆˆ๋‹ˆ์Šค์™€ ๋‹ฌ๋ฆฌ ๋งˆ์ง„ ์ง‘์•ฝ์ ์ธ ๋น„์ฆˆ๋‹ˆ์Šค๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ๊ถ๊ทน์ ์œผ๋กœ ์–ด๋–ป๊ฒŒ ํ‰๊ฐ€๋˜๋Š”์ง€ ์•Œ ์ˆ˜ ์žˆ๋Š” ์ง€ํ‘œ์ด๊ธฐ๋„ ํ•ฉ๋‹ˆ๋‹ค.

์œ„์˜ ๋ฐฉ์ •์‹์— ๋งˆ์ง„์„ ์ ์šฉํ•˜๋ ค๋ฉด ํ‰๊ท  ๊ธฐ์—ฌ ๋งˆ์ง„์œจ(CM%)์„ ๊ณ„์‚ฐํ•˜๊ณ  ์—ฌ๊ธฐ์— ๋งค์ถœ์„ ๊ณฑํ•˜๊ธฐ๋งŒ ํ•˜๋ฉด ๋ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ DTC ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๊ฒฝ์šฐ ๊ณต์‹์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค:

Contribution margin = Transactions * AOV * CM%

๊ณ ๋ คํ•ด์•ผ ํ•  ๋น„์šฉ์—๋Š” ํฌ๊ฒŒ ๋‘ ๊ฐ€์ง€ ์š”์†Œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ ์š”์†Œ๋งŒ ๊ณต์ œํ•˜๋ฉด ์ด ๋งˆ์ง„์ด ๋˜๊ณ , ๋‘ ๋ฒˆ์งธ ์š”์†Œ๋ฅผ ํฌํ•จํ•˜๋ฉด ๊ธฐ์—ฌ ๋งˆ์ง„์ด ๋ฉ๋‹ˆ๋‹ค.

์ง์ ‘ ๋ณ€๋™ ๋น„์šฉ(Direct variable costs): ์ด๋Š” ๊ฑฐ๋ž˜์— ์˜ํ•ด ์ง์ ‘์ ์œผ๋กœ ๋ฐœ์ƒํ•˜๋ฉฐ ๊ท€์†์ด ์‰ฌ์šด ๋น„์šฉ์ž…๋‹ˆ๋‹ค. DTC ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ, ์—ฌ๊ธฐ์—๋Š” ๋งค์ถœ ์›๊ฐ€, ์ธ์„ผํ‹ฐ๋ธŒ, ๋ฐฐ์†ก๋น„ ๋“ฑ์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค. ๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ ๊ฒฐ์ œ ์ฒ˜๋ฆฌ ์ˆ˜์ˆ˜๋ฃŒ, ์ธ์„ผํ‹ฐ๋ธŒ, ๊ธฐ๋ณธ๊ฐ’ ๋“ฑ์ด ์—ฌ๊ธฐ์— ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.

๊ฐ„์ ‘ ๊ฐ€๋ณ€ ๋น„์šฉ (Indirect variable costs): ์ด๋Š” ๊ฑฐ๋ž˜์— ์˜ํ•ด ์ง์ ‘์ ์œผ๋กœ ๋ฐœ์ƒํ•˜์ง€๋Š” ์•Š์ง€๋งŒ ๊ฑฐ๋ž˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ๋Š” ๋น„์šฉ์œผ๋กœ, ๋งˆ์ผ€ํŒ… ๋ฐ ๊ณ ๊ฐ ์ง€์›๊ณผ ๊ฐ™์€ ํ•ญ๋ชฉ์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.

ํˆฌ์ž ํšŒ์ˆ˜ ๊ธฐ๊ฐ„ ๊ณ„์‚ฐ (Calculating payback period)

๋ชจ๋“  ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์—์„œ ์ด๋Ÿฌํ•œ ๊ณต์‹์—์„œ ์ง์ ‘์ ์œผ๋กœ ๋‹ค๋ฃจ์ง€ ์•Š๋Š” ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์ง€ํ‘œ ์ค‘ ํ•˜๋‚˜๋Š” ๊ณ ๊ฐ ํ™•๋ณด ํšŒ์ˆ˜ ๊ธฐ๊ฐ„, ์ฆ‰ ๊ณ ๊ฐ ํ™•๋ณด ๋น„์šฉ์„ ํšŒ์ˆ˜ํ•˜๋Š” ๋ฐ ๊ฑธ๋ฆฌ๋Š” ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค. ์ด๋Š” ๋” ๋งŽ์€ ์„ฑ์žฅ์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•ด ์–ผ๋งˆ๋‚˜ ๋นจ๋ฆฌ ํˆฌ์žํ•  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ์•Œ๋ ค์ฃผ๊ธฐ ๋•Œ๋ฌธ์— LTV/CAC๋ณด๋‹ค ๋” ๋‚˜์€ ์ฒ™๋„์ž…๋‹ˆ๋‹ค.

๊ฐ€์žฅ ๋†’์€ ์ˆ˜์ค€์—์„œ ํˆฌ์ž ํšŒ์ˆ˜ ๊ธฐ๊ฐ„์€ CAC๋ฅผ ๊ณ ๊ฐ๋‹น ์—ฐ๊ฐ„ ๊ธฐ์—ฌ ๋งˆ์ง„์œผ๋กœ ๋‚˜๋ˆˆ ๊ฐ’์œผ๋กœ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด CAC๊ฐ€ $100์ด๊ณ  ๊ณ ๊ฐ๋‹น ์—ฐ๊ฐ„ ํ‰๊ท  ๊ธฐ์—ฌ ๋งˆ์ง„์ด $120์ธ ๊ฒฝ์šฐ ํˆฌ์ž ํšŒ์ˆ˜ ๊ธฐ๊ฐ„์€ 0.83๋…„, ์ฆ‰ 10๊ฐœ์›”์ด ๋ฉ๋‹ˆ๋‹ค.

ํŠน์ • ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ, ํŠนํžˆ ๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค์˜ ๊ฒฝ์šฐ ์ด ๋ฐฉ์ •์‹์€ ๋” ๋ณต์žกํ•ด์ง‘๋‹ˆ๋‹ค. ๋งˆ์ผ“ํ”Œ๋ ˆ์ด์Šค์˜ ํˆฌ์ž ํšŒ์ˆ˜ ๊ธฐ๊ฐ„์„ ๊ณ„์‚ฐํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ์„ค๋ช…์€ ์ด ๊ธ€์˜ '๋ฌธ์ œ 2'๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.


๐Ÿ‘‡
์œ„ ์•„ํ‹ฐํด์„ ์žฌ๋ฐŒ๊ฒŒ ์ฝ์œผ์…จ๋‚˜์š”? ํ˜น์‹œ ํ˜ผ์ž ์ดํ•ดํ•˜๊ธฐ ์–ด๋ ค์šฐ์‹œ๋‹ค๋ฉด, ์•„๋ž˜ ๊ฐ•์˜๋ฅผ ์ถ”์ฒœ๋“œ๋ฆฝ๋‹ˆ๋‹ค. 5์ฃผ๊ฐ„ ๋‹ค์–‘ํ•œ ์‚ฐ์—…๋ณ„ ๊ทธ๋กœ์Šค ๋ชจ๋ธ๋ง์— ๋Œ€ํ•œ ์ด๋ก  ๋ฐ ์‹ค์Šต์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค.
๋น„์ฆˆ๋‹ˆ์Šค ์Šค์ผ€์ผ์—…, ํ‘์ž์ „ํ™˜์„ ์œ„ํ•œ ๊ทธ๋กœ์Šค ์ „๋žต : ์‚ฐ์—…๋ณ„ ๊ทธ๋กœ์Šค ๋ชจ๋ธ๋ง ์‚ฌ๋ก€
์Šคํƒ€ํŠธ์—… ํ‘์ž์ „ํ™˜, ์Šค์ผ€์ผ์—…์„ ๊ณ ๋ฏผํ•˜๊ณ  ๊ณ„์‹ ๊ฐ€์š”? ํ˜„์žฌ ์šฐ๋ฆฌ ํšŒ์‚ฌ์˜ ์„ฑ์žฅ์„ ๊ฐ€๋กœ๋ง‰๊ณ  ์žˆ๋Š” ํ•ต์‹ฌ ๋“œ๋ผ์ด๋ฒ„๋ฅผ ์ฐพ๊ณ , ๊ฐœ์„ ํ•˜๋Š” ๋ฐ ๋ฆฌ์†Œ์Šค๋ฅผ ํˆฌ์žํ•ด๋ณด์„ธ์š”.
๐Ÿ’Œ
์žฌ๋ฐŒ์œผ์…จ๋‚˜์š”? ์ข‹์•„ํ•˜์‹ค ๋งŒํ•œ ๋‹ค๋ฅธ ๊ธ€๋“ค์„ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค.
๐Ÿ™Œ ์ตœ์ธ์ฒ  ํŒŒํŠธ๋„ˆ๋ฅผ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค
๐ŸŽ๏ธ ์‹ค๋ฆฌ์ฝ˜๋ฐธ๋ฆฌ์˜ '์Šคํƒ€ํŠธ์—… ๊ทธ๋กœ์Šค ์ „๋žต' ํ”„๋ ˆ์ž„์›Œํฌ
๐Ÿงฎ ๊ทธ๋กœ์Šค ๋ชจ๋ธ๋ง์˜ ๊ธฐ์ดˆ (๋ถ€์ œ: ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์ˆ˜์‹์œผ๋กœ ํ‘œํ˜„ํ•˜๊ธฐ)
๐Ÿ“š ์Šคํƒ€ํŠธ์—…์˜ ์ดˆ๊ธฐ ์œ ์ € ํš๋“ ํ”Œ๋ ˆ์ด๋ถ (User Acquisition Playbook)
๐Ÿ”ข VC Math : ์Šคํƒ€ํŠธ์—… ํˆฌ์ž ์—…์‚ฌ์ด๋“œ์™€ ์ง€๋ถ„ํฌ์„์˜ ๊ธฐ์ดˆ
๐Ÿค” ์Šคํƒ€ํŠธ์—… IR ํ”ผ์น˜๋ฑ ์ค€๋น„ ๊ฐ€์ด๋“œ (๋ถ€์ œ: ํˆฌ์ž์ž๊ฐ€ ๋ฌป๋Š” 70๊ฐ€์ง€ ์งˆ๋ฌธ๋“ค)
๐Ÿ“– VC์‹ฌ์‚ฌ์—ญ์˜ ์ž…์žฅ์—์„œ ์‚ดํŽด๋ณธ, ์Šคํƒ€ํŠธ์—… IR ํ”ผ์น˜๋ฑ
๐Ÿ—๏ธVC ํˆฌ์ž์œ ์น˜์— ์„ฑ๊ณตํ•˜๋Š” ์Šคํƒ€ํŠธ์—…์˜ IR ํ”ผ์น˜๋ฑ ๊ตฌ์กฐ
โ›๏ธ ์‹ค๋ฆฌ์ฝ˜๋ฐธ๋ฆฌ ์Šคํƒ€ํŠธ์—… IR ํ”ผ์น˜๋ฑ ๋ฝ€๊ฐœ๊ธฐ (1. Defacto (B2B SaaS))
๐Ÿ“ฐ HBR - VC๋Š” ์–ด๋–ป๊ฒŒ ์˜์‚ฌ๊ฒฐ์ •ํ•˜๋Š”๊ฐ€?
๐Ÿ’ฐ ์Šคํƒ€ํŠธ์—… ์‹œ๋“œ ํˆฌ์ž ์„ฑ๊ณต์Šคํ† ๋ฆฌ : ํŽ˜์ฆˆ๋งŒ ๋…ธ์ž๋“œ (Pear VC ๋Œ€ํ‘œ) ์ตœ์‹  ์Šคํƒ€ํŠธ์—… SEO ํŠธ๋ Œ๋“œ (2024๋…„ ๊ธฐ์ค€)
๐Ÿ’ฒ์ตœ์‹  ์Šคํƒ€ํŠธ์—… ์„œ๋น„์Šค ๊ฐ€๊ฒฉ ์ฑ…์ • (ํ”„๋ผ์ด์‹ฑ) ๋ชจ๋ธ ์ดํ•ดํ•˜๊ธฐ

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