Our CEO, @KonitzerTobias, was a guest with @jordantwestecom discussing the "Actionability Gap" in #LTV for #eCommerce. We've evolved from predicting LTV based on purchase history to Real Time LTV which updates based on every touchpoint with the brand. https://t.co/OKvIeI59Lx
.@FedotOff90 shared some examples on "#eCom Scaling Secrets" about how to build landing pages with ChatGPT. #GenerativeAI can spit out dozens of recommendations for landing pages. How will brands know which variation to scale? A/B Test with #RealTimeLTV!
We're all victims of the #AttributionIllusion. Attribution might seem like the north star, but there's a bigger question: How do we truly measure each channel's worth? Our CEO discussed this topic on last week's podcast with @itsoscarg. Here's a teaser: https://t.co/1zQgSy0udv
@ValentinRadu Optimizing the entire customer journey on LTV is a very hard problem to solve bc it takes months to know how any upstream brand experience impacts downstream profitability.
@jordantwestecom Brands can't control the algos, they can't control the costs, and they can't trust the results. Our answer: control the evaluation criteria. Optimize every creative, offer, channel, and audience based on the day-to-day changes in predicted revenue.
.@tesla@elonmusk announced they will advertise for the 1st time. Let's hope they don't measure those ads on conversions. Conversions =/= profitability. Attributing ads to revenue before a purchase is a very hard problem to solve. Sounds like a great use case for Real Time LTV!
.@Bonini84@databoxHQ shared benchmark data on
@Meta performance over the last 6 months and it does not look good. Many brands try to solve FB's performance issues by looking at historical LTV on a three to six-month basis. Here's why that won't work: https://t.co/VLo0hhZwo5
@digitaltrends reported @sling had their lowest subscriber count in 5 years. More competition + saturated channels + fickle subscribers = High CAC.
Why not strengthen the balance sheet by doubling down on paid ads generating high-quality subscribers? https://t.co/Y5gFY42HaG
What can we learn from the #Metaads disaster?
#ecommerce brands can't control the rules of the game, but they can control the evaluation criteria.
Measure campaigns by what matters most in this macro environment - profitability.
Conversions =/= profitability
#RealtimeLTV
You can’t say you’re focused on profitability yet continue to optimize your business on conversions.
Conversions =/= profitability
It takes months to measure the profitability of each new customer using historic sales data.
Today, Ocurate is proud to launch Real-Time #LTV with two major applications: 1) Distribute ad spend most efficiently 2) Use #RealTimeLTV as the success criteria for A/B tests & optimize every experience for the best customers
https://t.co/YzFypjlxFL
“Getting #LTV right means understanding the causal relationship btwn how a customer interacts with your product & the downstream impact on the biz." CMO @mindbody at @pymnts webinar with @dh_tungsten. this is a problem only solved with real-time LTV. https://t.co/0UMSgWZrwK
Using cutting-edge AI to create content, but using archaic tools to test content? @triplewhale is the latest company to get on the #GenerativeAI bandwagon. What if you knew in real-time which ad copy & creative would attract more customers that will buy more and stay longer?
Are discounts turning away your best customers? A $50M Beauty brand was about to launch a 30% discount. An A/B test with real-time #LTV showed they could increase revenue at the same rate without the discount. Result: 0.2% increase in gross profit. #ecom https://t.co/YZnc2nhdq9
.@ecomchasedimond uses #chatgpt to test ad copy, email subject lines, etc. But how do you know if any of those recommendations from GPT are working? Increase the speed & confidence in testing by using real-time LTV as the success criteria. #ecom https://t.co/f0DSFX6XKQ
"Our long-term target is for our LTV to CAC to be 2x to 3x range. We're not there today. We're hovering in the 1.4x range." - CFO $PTON. Why not start by improving the unit economics of paid ads by measuring day-to-day changes in predicted #LTV? https://t.co/VcWWP2nCCL
Tighter data #privacy regulations will forever change traditional growth strategies. Join us today at 1pm PT to learn from industry experts about how to adapt growth strategies to meet the upcoming privacy changes. https://t.co/adc0HxupWJ
"When I started Ocurate, our premise was to improve LTV with better ML & better data, and we started with partly 3P data. Today we make a commitment to build on 1P data exclusively." Join us on 3/15 as we discuss the future of data with privacy experts. https://t.co/ahomifus29
How will your #ecommerce business navigate changes to #privacy regulations? Our virtual event on 3/15 will provide the insights you need to succeed. Featuring @DavMicRot, @TimSparapani, Leslie Emmons Burthey, former Head of Commerce at WW
https://t.co/ahomiftUcB
Pricing is the perfect application of Ocurate.
Test: Price A versus Price B
In 2-4 weeks, have conclusive results to know precisely which price attracts & retains customers that will spend more and stay longer.
How did @Twitter decide $8/month was the right price for its subscription plan? Why not $10? Or $5?
@elonmusk polled his followers, but how does he know the majority of people that answered the poll are users that fit the profile of loyal subscribers?