You make a chart. Congrats, but you’re not done yet. You don’t simply get insights by eye-squinting and going off on vibes. The line is wiggling, but are you doing better, or are you doing worse? This is where the Reference Line comes in. In just 03 clicks, you can now add a Reference line, and compare your data against a specific value (i.e.: *the sales target)*, or a dynamic value (*i.e.: average sales across all products*). Learn more here: https://buff.ly/4cfPvRw
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You make a chart. Congrats, but you’re not done yet. You don’t simply get insights by eye-squinting and going off on vibes. The line is wiggling, but are you doing better, or are you doing worse? This is where the Reference Line comes in. In just 03 clicks, you can now add a Reference line, and compare your data against a specific value (i.e.: *the sales target)*, or a dynamic value (*i.e.: average sales across all products*). Learn more here: https://buff.ly/4cfPvRw
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Investment Markets Professional and Trusted Advisor Building Long-term Client Relationships | Consultative Seller | Revenue Grower | Target Achiever | Business Development | Equity Research | Client Relationship Manager
Where is the success of your sales team coming from? What is it driven by? Find out how a performance attribution framework can provide insight into what's driving market share performance. https://ow.ly/NZXF30sFGoI
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Want to learn what's going on with the market, with your prospects, with your clients... Do virtual or in-person ride along with your reps! Get out there and listen to the conversations they're having in real time! Trust me, it will give you a solid perspective that charts, graphs, or surveys will never be able to.
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Where is the success of your sales team coming from? What is it driven by? Find out how a performance attribution framework can provide insight into what's driving market share performance. https://lnkd.in/euwyskJg
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Your product is only half the equation. The other half? Knowing exactly who it's for. Lot of companies skip in-depth ICP analysis. This keeps happening due to 2 major oversights: 1. Rush to sell → Teams dive in without prep → "No time" for research 2. False confidence → "We know our market" → Gut feeling over hard data But skipping ICP work causes 6 major headaches: 1. Money down the drain → Chasing bad leads burns cash 2. Deals that don't close → Wrong pitch to wrong people 3. Building stuff no one wants → Products miss the mark 4. Ad spend that goes nowhere → Marketing to the wrong crowd 5. Growth hits a wall → Can't replicate what works 6. Big fish swim away → Miss gold-mine customer groups Thoughts?
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In his Relay interview, Uizard’s co-founder and CEO, Tony Beltramelli, pointed at a defining limitation of pre-product, willingness-to-pay surveys — that they can produce a lot of noise as mere first accounts of perceived value. And emphasized how actually helpful pricing (and PMF!) signals must be gleaned (consistently) post actual usage. “For beta users, we could look at how many minutes/hours/weeks they had spent actively using the product and plot that usage against their takes on pricing.” ⏳⚡️⌛️ … For further notes on how they went beyond standard segmentation, how they’ve remained data-driven while acknowledging that pricing is really an art, why they’ve found “charge more” to be easier-said-than-done advice, and more, check out Tony’s complete interview here ➡️ https://lnkd.in/dJ9-66wZ
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As a consultant, I often get asked about obtaining various benchmarks – customer retention rates, market share, etc. But I'm convinced that those requesting these benchmarks won't know how to incorporate such information into their strategy decisions. As a species, we are obsessed with comparisons. No different when it comes to business. But benchmarks don't often contain useful information signals. They are distractive at best, and reductive at worst. And so in this article, I call out the bad thinking around benchmarks. As always, I look forward to your feedback and inputs. #dataanalytics #datascience #benchmark
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If you've got a subscription business of any sort, cohort analysis is a must! See the Equals guide on how to do this. I learned to do cohort analysis myself while working with Bobby Pinero and Chris Burgner at Intercom, and their writing is clear, approachable, and just the right level of detail to actually do this yourself.
Is your revenue growth real, or are you just pouring more water into a leaky bucket? It's time to stop guessing. Cohorting revenue gives you the story behind the numbers, revealing whether customers are here to stay and whether they’re spending more over time. If you can land both, you'll be on the path to sustainable growth. For more on building and interpreting cohort analyses, check out the latest installment of the Ultimate Guide to ARR on WrapText ↩️. Link in the comments.
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Discover the Definitive NPS® Guide! Explore our latest blog for actionable insights to transform detractors into promoters! https://lnkd.in/gEs3YqhY
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So What? Analytics for Sales In this episode you’ll learn: - What separates your early customers from the mass market - The importance of an accurate ideal customer profile and how to build one - What’s the most common pitch mistake and how to avoid it Join us TODAY at 1pm EST on YouTube Live YT link: https://lnkd.in/gCVTMyGz
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4moMuch better would be to be able to add a reference line based on some calculated value and dynamically changing in time. Or some dynamic discrete lookup reference value, based i.e. on one of the main value on the chart, so that the reference line adapts in time to the main value. Use case is i.e. when you chart the energy consumption trend of a machine with a changing product and you want to have a reference energy consumption line related to the actual product. Is it possible?