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Appsflyer vs Cube comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Appsflyer
Ranking in AI Data Analysis
6th
Average Rating
8.4
Number of Reviews
16
Ranking in other categories
Mobile Measurement Partner (MMP) (1st)
Cube
Ranking in AI Data Analysis
19th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of Appsflyer is 0.4%. The mindshare of Cube is 0.3%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Appsflyer0.4%
Cube0.3%
Other99.3%
AI Data Analysis
 

Featured Reviews

ParthasarathyT - PeerSpot reviewer
Senior Infrastructure Engineer at Publicis Sapient
Attribution has enabled precise campaign decisions but pricing and support still need improvement
Pricing is a major area for improvement, as costs rise quickly as our app grows. The pricing becomes significantly expensive as event volume increases, so a clearer or more predictable pricing tier instead of a pure pay-per-event structure would be beneficial. Confusion around billing contracts is an issue, with several users feeling locked in and confused about pricing, charges, and contracts. Support is quite inconsistent, with no dedicated account managers available to resolve queries. Technically and functionally, Appsflyer looks good, but accuracy can sometimes face issues. Some users report inaccurate or inflated metrics that undermine trust, affecting the numbers recorded. We have faced this ourselves. We also experience dashboard issues occasionally, such as when the dashboard gets stuck in a loop and will not allow us to see it quickly during login, generally taking some time or requiring us to load the same page repeatedly. This happens occasionally, but Appsflyer is still a good tool.
Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"In my opinion, the best features Appsflyer offers are reliable performance, very fast speeds, and a user-friendly UI."
"From a programmatic perspective, Appsflyer is one of the more reliable platforms when it comes to cross-channel management."
"Appsflyer provides a strong ROI for our company and our application, which helps both our marketing team and product team."
"Appsflyer has impacted my organization quite positively, as we were also using Adjust, and I prefer Appsflyer."
"Appsflyer has positively impacted our organization by allowing us to perfect our marketing ideals informed by the analytics and metrics derived from it."
"Appsflyer is one of the strongest platforms for mobile attribution, deep linking, and ecosystem integration, and it actually delivers strong value for performance driven brands."
"There is a very big positive impact from using Appsflyer, as implementing it gives us much clearer visibility into campaign quality and user behaviors, with a significant improvement in ROAS optimization."
"Appsflyer acts as a centralized and only single tool for us, making it a good investment since we do not want to have any additional tools for monitoring or managing it, resulting in a good return on our investment."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
"Cube's caching mechanism impacts my database query loads and response times significantly."
 

Cons

"Appsflyer can be improved with event de-duplication."
"I feel that a feature improvement would be beneficial. After performing all the user actions, we were supposed to wait a few minutes, maybe two or five, and then check Appsflyer to download it, as there is no UI or UX to display user journey actions and properties directly."
"It is difficult to predict the price for Appsflyer as it is based on conversions. It is also expensive."
"Pricing is a major area for improvement, as costs rise quickly as our app grows."
"Some clients also mention that the pricing for Appsflyer can become expensive as apps scale and attribution volumes grow, especially for high growth consumer apps."
"One challenge is attribution discrepancies; sometimes the numbers among Appsflyer, Meta, and Google internal backend events do not match, especially after iOS ATT changes."
"One improvement that Appsflyer can make is to find better ways to access aggregating raw data."
"An area of improvement for Appsflyer is the large number of reports and dashboards."
"There is no way to create a real template that is not exposed directly in the UI."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
"Cube can be improved by enhancing data refresh over multiple tabs."
"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"I did not see any return on investment from Cube."
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Top Industries

By visitors reading reviews
Construction Company
12%
Outsourcing Company
11%
Financial Services Firm
9%
Real Estate/Law Firm
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise6
Large Enterprise5
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Appsflyer?
My experience with pricing, setup costs, and licensing is that it is quite high.
What needs improvement with Appsflyer?
Pricing is a major area for improvement, as costs rise quickly as our app grows. The pricing becomes significantly expensive as event volume increases, so a clearer or more predictable pricing tier...
What is your primary use case for Appsflyer?
I came across Appsflyer very recently, using it for three months in the business profile. We primarily use Appsflyer for measuring campaigns and targeting expertise. Appsflyer is a primary tool in ...
What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
 

Comparisons

 

Overview

Find out what your peers are saying about Appsflyer vs. Cube and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.