App Marketing Why LTV is essential for UA, and D7 ROAS should be retired In mobile UA, a common practice is to buy against ROAS (return on ad spend) targets based on revenue measured in the first 7 days after a user installs the
AlgoLift A Message from the CEO Today, I’m excited to share that AlgoLift has officially joined the Vungle family! It’s hard to encapsulate in a note what an amazing journey we’ve been on
Attribution What is probabilistic attribution? (and every other iOS 14 question you were afraid to ask) With the goal of educating ourselves and industry stakeholders on the implications of iOS14 and the privacy announcements, we started a living FAQ. This will be updated as more questions
Attribution Case Study: how AlgoLift has solved probabilistic attribution for post iOS 14 Over the past few weeks, we have presented and built a probabilistic attribution model that will allow us to continue optimizing marketing spend for maximum long-term return on ad spend
Attribution The optimal usage of ConversionValue in SKAdnetwork As we continue to develop our probabilistic attribution solution for iOS14, we want to share our thoughts on the optimal use of SKAdnetwork's ConversionValue.
Attribution Why is AlgoLift building probabilistic attribution? Over the past couple of weeks, we’ve shared a proposed solution for probabilistic attribution on iOS14. It may surprise some observers of the mobile marketing ecosystem to learn that
Facebook Marketing Why user-level LTV models are essential for post-iOS 14 user acquisition It has only been a few weeks since Apple’s iOS14 announcement, but the performance marketing ecosystem is already adapting to its new privacy features. Deterministic campaign attribution, a cornerstone
Facebook Advertising Probabilistic attribution for iOS 14 — a deeper dive We previously discussed a promising solution to the reduced efficacy of deterministic attribution inherent in iOS14. In that piece, we outlined our conclusion that deterministic attribution will be significantly impacted
Attribution iOS14: A proposed solution for the reduced efficacy of deterministic attribution Apple stunned the mobile marketing industry with privacy updates announced as part of iOS14. At AlgoLift we anticipated and welcomed these changes, having previously made the decision to never utilize
Facebook Advertising Announcing AlgoLift Intelligent Budget We’re delighted to announce the launch of AlgoLift Intelligent Budget, a cross-channel, media mix model budgeting tool available to AlgoLift Intelligence and Algolift Intelligent Automation clients today. As app-based
Facebook Marketing AlgoLift Intelligent Budget: A Case Study Introduction Previously, in An Algorithmic Approach to User Acquisition Automation, we explored the mathematical foundation of programmatic campaign management on Facebook and Google. In some cases, automatic campaign management is
Announcing AlgoLift Organic Lift We’ve spent the last 4 years building tools to understand our clients’ total user acquisition ROAS including algorithms to support IAP, ad revenue, and subscription business models. Today, we’
App Marketing How to think about including Organic Lift into your ROAS In mobile marketing, advertisers typically judge the performance of their campaigns using return on ad spend (ROAS) measured from users attributed to the campaign through a mobile measurement partner (MMP)
Automation A framework for automation of user acquisition on Unity, Applovin, Ironsource & Vungle We’ve previously discussed in this post why an app-based company might want to automate user acquisition on Unity, Applovin, Ironsource, and Vungle. The main challenge with these networks is
Automation 3 reasons to automate your Unity, Applovin, Ironsource, and Vungle user acquisition Mobile app user acquisition is being automated. Facebook and Google have invested heavily in ML-based tools that remove control from user acquisition managers and entrust the data science to figure
Automation How a user acquisition team can save 500 hours a month with automation The inevitable automation of the mobile app marketing space is an existential threat for a company in the app economy to understand and embrace. With Facebook and Google taking on
Ltv Pitfalls of Modeling LTV and How to Overcome Them Lifetime value (LTV) forecasting is essential for mobile app developers trying to understand the total value of their user base in quantitative terms. Once calculated, predictive LTV has a plethora
Facebook Advertising Facebook View-Through Attribution changes Facebook recently announced it was making changes to its reporting APIs that ultimately will restrict access to raw user-level view-through data after April 22. From this date, Facebook view-through attributed
Facebook Advertising An Algorithmic Approach to User Acquisition Automation Executive Summary: AlgoLift automates user acquisition on Facebook, Google and Apple Search by leveraging user-level d365 predicted LTV and portfolio theory to buy ROAS maximizing installs. Using algorithmic market models
Deconstructor of Fun Podcast: All about LTV Listen to our CRO discuss AlgoLift’s approach to automating user acquisition leveraging user LTV on the Deconstructor of Fun Podcast! on Spotify:
Facebookads GameMakers Coffee Talk: pLTV Our CRO, Paul Bowen was invited to join industry user acquisition veterans to talk about pLTV. They discussed: Why is pLTV (and pROAS) so important to mobile marketers and product
For (and against) partnering for your LTV model Over the past 10 years of mobile app development, app companies have built marketing tools to support their core businesses. This includes launching ad networks, building ad tracking solutions, creating
Ltv Marketing Evolved: FinTech for MarTech In my first post (if you read the whole thing, thank you!) it may seem like I painted a very “doom and gloom” picture. The reality is that I’ve
Ltv Marketing Has Evolved. Has Your Business Evolved With It? If you’re not measuring return on marketing investment, your business is at risk.
