jun784 · December 16, 2015 08:59
diff --git a/AARRR b/AARRR
 獲得の為に

 1. JSコードをすべてのマーケティングページ及びテクニカルページに掲載します。

 . (As a tẹc̩hnical nōte, we recòmmẹnd you do this because you'll need the snịppèt present to do the e̍vẹnt trịggers anyway)

 2. We do mọ̄stly e̍vẹnt trịggers because we like to còntrọ̄l the granularity of the dạ̄tà we're getting instead of just getting pāge-lẹvel URL e̍vẹnts. We like to see things like which bụttòn they clicked on, which veṛ̈s̱ion of the bụttòn they clicked on, etc. (We're anàlỵ̍tics ner̈ds, right?)

 For us, it's ẹ̄as̩y when you can trịgger a "Sīǥned Up" e̍vẹnt across all the Sīǥn Up bụttòns on the mạ̈rkèting sīte and then ạttrìbūte prọpèrties to dẹs̩ìgnāte "Hōme Pāge bụttòn" VS  "Prị̄cing Pāge bụttòn" VS "Fẹ̄at̨ure Toŭr bụttòn" because we can do ànạlỳsìs lạ̄ter in a rēpọrt to còmpạ͑re all those sẹgments.

 3. The JS snịppèt also ȁutòmạtically cạpt̨ures any Gọogle UTM vạ͑rïàbles and referrer dạ̄tà so that all our mạ̈rkèting campạ̄iǥns through ēmạ̄ils, neẉ̈s̩letters, blög pōsts, ads, etc. gets tracked for us ȁutòmạtically without any sẹtup or intèrvẹntion. Sāves us (and họ̄pefully others) a lot of time.

 For Actìvạ̄tion

 1. We fị̄re e̍vẹnts throughout the sẹtup prọcess. This lets us know if certain steps are cònfụ̄s̩ing if they don't make it past a certain step / just don't còmplẹ̄te sẹtup. We then trịgger àpprọ̄prïàte ēmạ̄ils to re-e̍ngạ̄ge them or ask them how we can help. We make a nōte lạ̄ter to imprọ̆ve ạ͑rēàs of drọpöff or incompletion.

 2. We trịgger an e̍vẹnt when they first rècẹ̄ive dạ̄tà. To us, this is real "actìvạ̄tion". Our cụstòmers can't really use KISSmetrics unless they rècẹ̄ive dạ̄tà to look at. I e̍ncouṛ̈a̍ge you to de̍fị̄ne your ōwn "actìvạ̄tion" e̍vẹnt as this lets you fịgu̍re out who your "ạctive" ụ̄s̩ers are at any given time.

 3. We trịgger e̍vẹnts for every mạ̄jor fẹ̄at̨ure we have in Mẹtrics, Re̍pọrts, etc. - This helps us ạnswer quẹst̨ions like:

 "Are cụstòmers using everything they could be in KISSmetrics?"
 "What fẹ̄at̨ures are getting used the most?"
 "What fẹ̄at̨ures make cụstòmer sùccẹssful in using my prọdùct?"

 For Rētẹntion

 1. We already trịgger e̍vẹnts for vịs̩ìting the sīte, lọ̈gging in, and using every fẹ̄at̨ure. So lụckìly this already sets us up really well for mẹ́as̱uring rētẹntion and doing cọ̄hort ànạlỳsìs across groüps of cụstòmers.

 2. Our cọ̄hort ànạlỳsìs buílds rētẹntion re̍pọrts and ạ̄ging cọ̄hort ànạlỳsìs re̍pọrts with our e̍x̩ịsting dạ̄tà so there's no ẹxtrà wor̈k invọlved. We sịmply choos̩e what dạ̄tà points we wänt to see for the quẹst̨ions we have:

 "What is our vịs̩ìtor rētẹntion rāte?"
 "What is our ụ̄s̩er (login) rētẹntion rāte?"
 "What is our e̍ngạ̄g̍ement lẹvel for our Fụnnel Rēpọrt?"
 "How long does it take for cụstòmers to ạctìvāte?"

 These are all time-bāsed de̍pẹnding on what ụ̄s̩ers did on a dạ̄ily, wẹekly, or mộnt̩hly pẹ̍rïòd.

 3. One ūnị̈que thing that our cọ̄hort rēpọrt does is breāk down groüps bāsed on whether you wänt to see if a peṛ̈sòn did something for the first time only or every time. This lets you see whether pẹ̄ople do a certain ạction cònsịstently every day of the week, or if they hạppèn to skip a day.

 Use cạ̄ses:
 Ạnàlȳze everyone who came back on Wednesday that also came on Tuesday
 Ạnàlȳze pẹ̄ople who skipped Tuesday but came back on Wednesday

 4. Another ūnị̈que thing that our cọ̄hort rēpọrt does is let you breāk down groüps bāsed on prọpèrties instead of time. You can see how long it took a cụstòmer to do something bāsed on mạ̈rkèting campạ̄iǥns, signup flōw e̍xpẹrìments, sear̈ch ter̈ms, etc. so you can hōne in on what's woṛ̈king and what's not.

 Use cạ̄ses:
 "How do campạ̄iǥns àffẹct how long it takes for cụstòmers to pay over time?"
 "What sear̈ch ter̈ms àffẹct signup rātes and signup frẹ̄quency?"

 紹介向け
 For Re̍feṛ̈ral

 A cuṛ̈rent KISSmetrics cụstòmer can invị̄te other tēam mẹmbers to their àccọ̋unt, but we haven't buílt out a re̍feṛ̈ral mẹc̩hànism for re̍feṛ̈ring more àccọ̋unts. If I were to, some bạ̄sic trạcking could look like this:

 1. Track an e̍vẹnt for when the re̍feṛ̈ral was sent and also lög a prọpèrty for who the re̍feṛ̈ral was sent to.

 2. Track a prọpèrty cȁlled "Re̍feṛ̈ral Söurce" when the peṛ̈sòn who rècẹ̄ived the re̍feṛ̈ral sīǥns up. The re̍feṛ̈ral söurce vạlūe would be the òrịg̍ìnal peṛ̈sòn who sent the re̍feṛ̈ral.

 The above two mẹt̩hòds would àllọ̋w me to see who sends out the most re̍feṛ̈rals, and who are the most inflüẹ́ntial cụstòmers (the ones who ạct̨ually get the re̍feṛ̈rals to go through). I can also then dig into Re̍feṛ̈ral Cònveṛ̈s̱ion Rātes. I could also then fịgu̍re out what are cọmmòn be̍hạ̄víor points that referrers have - at what point did I gāin them as a referrer?

 For Rẹvènüe

 1. We track an e̍vẹnt cȁlled "Billed" whenever a cụstòmer sùccẹssfully pays us. We pass in prọpèrties to track things like the bịlling amount and the plan lẹvel. I say sùccẹssfully because we don't trịgger this e̍vẹnt until we ạct̨ually cònfiṛ̈m pạyment (sometimes cärds can bőunce if they e̍xpị̄re or have chāng̍ed bịlling àddrẹsses).

 2. We have a hạndy Rẹvènüe Rēpọrt that ạttrìbūtes all actịvìty to a dọllar amount. Of course, everyone who uses KISSmetrics gets this functionạlity as well. This is really greāt for breạ̄king down not only your mạ̈rkèting campạ̄iǥns, but your fẹ̄at̨ures or cụstòmers sẹgments, into dọllar àmọ̋unts. This is where we can ạttrìbūte trüe ROI to any campạ̄iǥn, ēmạ̄il, lạnding pāge, A/B test, or fẹ̄at̨ure we lȁunch. Past point of sāle, we can ạct̨ually see how mạ̈rkèting spẹnding is ẹ̄qual

 More dẹ̄tāils to come lạ̄ter. Hōpe this helps in the mẹ̄antīme for everyone who is cụ̄rïous.
	獲得の為に

	1. JSコードをすべてのマーケティングページ及びテクニカルページに掲載します。

	. (As a tẹc̩hnical nōte, we recòmmẹnd you do this because you'll need the snịppèt present to do the e̍vẹnt trịggers anyway)

	2. We do mọ̄stly e̍vẹnt trịggers because we like to còntrọ̄l the granularity of the dạ̄tà we're getting instead of just getting pāge-lẹvel URL e̍vẹnts. We like to see things like which bụttòn they clicked on, which veṛ̈s̱ion of the bụttòn they clicked on, etc. (We're anàlỵ̍tics ner̈ds, right?)

	For us, it's ẹ̄as̩y when you can trịgger a "Sīǥned Up" e̍vẹnt across all the Sīǥn Up bụttòns on the mạ̈rkèting sīte and then ạttrìbūte prọpèrties to dẹs̩ìgnāte "Hōme Pāge bụttòn" VS "Prị̄cing Pāge bụttòn" VS "Fẹ̄at̨ure Toŭr bụttòn" because we can do ànạlỳsìs lạ̄ter in a rēpọrt to còmpạ͑re all those sẹgments.

	3. The JS snịppèt also ȁutòmạtically cạpt̨ures any Gọogle UTM vạ͑rïàbles and referrer dạ̄tà so that all our mạ̈rkèting campạ̄iǥns through ēmạ̄ils, neẉ̈s̩letters, blög pōsts, ads, etc. gets tracked for us ȁutòmạtically without any sẹtup or intèrvẹntion. Sāves us (and họ̄pefully others) a lot of time.

	For Actìvạ̄tion

	1. We fị̄re e̍vẹnts throughout the sẹtup prọcess. This lets us know if certain steps are cònfụ̄s̩ing if they don't make it past a certain step / just don't còmplẹ̄te sẹtup. We then trịgger àpprọ̄prïàte ēmạ̄ils to re-e̍ngạ̄ge them or ask them how we can help. We make a nōte lạ̄ter to imprọ̆ve ạ͑rēàs of drọpöff or incompletion.

	2. We trịgger an e̍vẹnt when they first rècẹ̄ive dạ̄tà. To us, this is real "actìvạ̄tion". Our cụstòmers can't really use KISSmetrics unless they rècẹ̄ive dạ̄tà to look at. I e̍ncouṛ̈a̍ge you to de̍fị̄ne your ōwn "actìvạ̄tion" e̍vẹnt as this lets you fịgu̍re out who your "ạctive" ụ̄s̩ers are at any given time.

	3. We trịgger e̍vẹnts for every mạ̄jor fẹ̄at̨ure we have in Mẹtrics, Re̍pọrts, etc. - This helps us ạnswer quẹst̨ions like:

	"Are cụstòmers using everything they could be in KISSmetrics?"
	"What fẹ̄at̨ures are getting used the most?"
	"What fẹ̄at̨ures make cụstòmer sùccẹssful in using my prọdùct?"

	For Rētẹntion

	1. We already trịgger e̍vẹnts for vịs̩ìting the sīte, lọ̈gging in, and using every fẹ̄at̨ure. So lụckìly this already sets us up really well for mẹ́as̱uring rētẹntion and doing cọ̄hort ànạlỳsìs across groüps of cụstòmers.

	2. Our cọ̄hort ànạlỳsìs buílds rētẹntion re̍pọrts and ạ̄ging cọ̄hort ànạlỳsìs re̍pọrts with our e̍x̩ịsting dạ̄tà so there's no ẹxtrà wor̈k invọlved. We sịmply choos̩e what dạ̄tà points we wänt to see for the quẹst̨ions we have:

	"What is our vịs̩ìtor rētẹntion rāte?"
	"What is our ụ̄s̩er (login) rētẹntion rāte?"
	"What is our e̍ngạ̄g̍ement lẹvel for our Fụnnel Rēpọrt?"
	"How long does it take for cụstòmers to ạctìvāte?"

	These are all time-bāsed de̍pẹnding on what ụ̄s̩ers did on a dạ̄ily, wẹekly, or mộnt̩hly pẹ̍rïòd.

	3. One ūnị̈que thing that our cọ̄hort rēpọrt does is breāk down groüps bāsed on whether you wänt to see if a peṛ̈sòn did something for the first time only or every time. This lets you see whether pẹ̄ople do a certain ạction cònsịstently every day of the week, or if they hạppèn to skip a day.

	Use cạ̄ses:
	Ạnàlȳze everyone who came back on Wednesday that also came on Tuesday
	Ạnàlȳze pẹ̄ople who skipped Tuesday but came back on Wednesday

	4. Another ūnị̈que thing that our cọ̄hort rēpọrt does is let you breāk down groüps bāsed on prọpèrties instead of time. You can see how long it took a cụstòmer to do something bāsed on mạ̈rkèting campạ̄iǥns, signup flōw e̍xpẹrìments, sear̈ch ter̈ms, etc. so you can hōne in on what's woṛ̈king and what's not.

	Use cạ̄ses:
	"How do campạ̄iǥns àffẹct how long it takes for cụstòmers to pay over time?"
	"What sear̈ch ter̈ms àffẹct signup rātes and signup frẹ̄quency?"

	紹介向け
	For Re̍feṛ̈ral

	A cuṛ̈rent KISSmetrics cụstòmer can invị̄te other tēam mẹmbers to their àccọ̋unt, but we haven't buílt out a re̍feṛ̈ral mẹc̩hànism for re̍feṛ̈ring more àccọ̋unts. If I were to, some bạ̄sic trạcking could look like this:

	1. Track an e̍vẹnt for when the re̍feṛ̈ral was sent and also lög a prọpèrty for who the re̍feṛ̈ral was sent to.

	2. Track a prọpèrty cȁlled "Re̍feṛ̈ral Söurce" when the peṛ̈sòn who rècẹ̄ived the re̍feṛ̈ral sīǥns up. The re̍feṛ̈ral söurce vạlūe would be the òrịg̍ìnal peṛ̈sòn who sent the re̍feṛ̈ral.

	The above two mẹt̩hòds would àllọ̋w me to see who sends out the most re̍feṛ̈rals, and who are the most inflüẹ́ntial cụstòmers (the ones who ạct̨ually get the re̍feṛ̈rals to go through). I can also then dig into Re̍feṛ̈ral Cònveṛ̈s̱ion Rātes. I could also then fịgu̍re out what are cọmmòn be̍hạ̄víor points that referrers have - at what point did I gāin them as a referrer?

	For Rẹvènüe

	1. We track an e̍vẹnt cȁlled "Billed" whenever a cụstòmer sùccẹssfully pays us. We pass in prọpèrties to track things like the bịlling amount and the plan lẹvel. I say sùccẹssfully because we don't trịgger this e̍vẹnt until we ạct̨ually cònfiṛ̈m pạyment (sometimes cärds can bőunce if they e̍xpị̄re or have chāng̍ed bịlling àddrẹsses).

	2. We have a hạndy Rẹvènüe Rēpọrt that ạttrìbūtes all actịvìty to a dọllar amount. Of course, everyone who uses KISSmetrics gets this functionạlity as well. This is really greāt for breạ̄king down not only your mạ̈rkèting campạ̄iǥns, but your fẹ̄at̨ures or cụstòmers sẹgments, into dọllar àmọ̋unts. This is where we can ạttrìbūte trüe ROI to any campạ̄iǥn, ēmạ̄il, lạnding pāge, A/B test, or fẹ̄at̨ure we lȁunch. Past point of sāle, we can ạct̨ually see how mạ̈rkèting spẹnding is ẹ̄qual

	More dẹ̄tāils to come lạ̄ter. Hōpe this helps in the mẹ̄antīme for everyone who is cụ̄rïous.