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Two thoughts, one general and one specific:
Recruiting/hiring: the fees per-placement are huge (usually 10-20% of first year salary). When placing $150k/year developers, this adds up. Startups like Hired probably qualify under the "maximizing customer value" umbrella.
General: Enterprise SaaS. Cost is not much of a factor in this space — I suspect this is because, unlike consumers or smaller businesses, Enterprise has more money, and psychologically, it's just not the decision-maker's money.
In my experience, it is usually subscription based and/or digital company that provides a service or product that the average company or person(s) cannot live without after using it for a while. Some people could make the argument that the luxury goods and automobile industries provide the highest LTV since getting a repeat customer could mean $10,000s or $100,000s of revenue but it is very hard to complete a sale unless the person is committed to that brand (i.e. Chanel, BMW, etc.). Subscription based services like Netflix, Gamefly, or Hello Fresh might have low LTVs compared to high-priced items but their affordable monthly fees and broad target market makes their LTVs the most attractive due to scale and quantity.
Where I can see video for this slides?
That's a good idea Alett and I will definitely use this on my next template and it's coming out soon. Maybe on a different website but owned by MarketLytics... ;)
thank you and how about the funnel idea?
Thanks Marco, we are trying to monitor stickiness on the site as part of different elements on the site. We'll give it a try.
Great template but I would like to suggest an improvement. My clients love it when I add notes. I use a "sticky image" with comments/suggestions/call-outs to give them insights into the data. I use this to help them "spot" important trends, let them know what works well and where to improve. And of course, this makes them feel special. Also, the light grey text at Purchases by In-Market Segment is not readable on my screen.
Thank you for sharing. I especially liked how easy the custom calculated metrics part was. I thought maybe you'd have to have them as calculated/custom metrics in GA.
I tried the tool out yesterday with about 100K domains. The PR data seems to be pretty accurate as far as I can tell.
Is this the same project mentioned by SearchEngineLand last year? - http://searchengineland.com/common-search-open-source-project-bringing-back-pagerank-262736
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