Platform

AI

Wave
Agents
Amplitude MCP
AI Feedback
Agent Analytics
Early Access Program

Insights

Product Analytics
Marketing Analytics
Session Replay
Heatmaps

Action

Guides and Surveys
Feature Experimentation
Web Experimentation
Feature Management
Activation

Data

Data Governance
Integrations
Security & Privacy
Solutions
Solutions that drive business results
Deliver customer value and drive business outcomes
Amplitude Solutions →

Industry

Financial Services
B2B
Media
Healthcare
Ecommerce

Use Case

Acquisition
Retention
Monetization

Team

Product
Data
Engineering
Marketing

Size

Startups
Enterprise
Resources

Learn

Blog
Resource Library
Compare
Glossary
Explore Hub

Connect

Community
Events
Customers
Partners

Support & Services

Customer Help Center
Developer Hub
Product Updates
Academy & Training
Customer Success

Tools

Benchmarks
Prompt Library
Templates
Tracking Guides
Maturity Model
Event Taxonomy Generator
Pricing
LoginContact salesGet started

AI

WaveAgentsAmplitude MCPAI FeedbackAgent AnalyticsEarly Access Program

Insights

Product AnalyticsMarketing AnalyticsSession ReplayHeatmaps

Action

Guides and SurveysFeature ExperimentationWeb ExperimentationFeature ManagementActivation

Data

Data GovernanceIntegrationsSecurity & Privacy
Amplitude Solutions →

Industry

Financial ServicesB2BMediaHealthcareEcommerce

Use Case

AcquisitionRetentionMonetization

Team

ProductDataEngineeringMarketing

Size

StartupsEnterprise

Learn

BlogResource LibraryCompareGlossaryExplore Hub

Connect

CommunityEventsCustomersPartners

Support & Services

Customer Help CenterDeveloper HubProduct UpdatesAcademy & TrainingCustomer Success

Tools

BenchmarksPrompt LibraryTemplatesTracking GuidesMaturity ModelEvent Taxonomy Generator
LoginSign Up

6 common myths about analytics vendors

We’re going to debunk six most common myths about web and mobile analytics products that we hear time and time again from our prospects and current customers.
Insights

May 4, 2016

6 min read

Alicia Shiu

Alicia Shiu

Former Growth Product Manager, Amplitude

6 Common Myths About Analytics Vendors

Once you’ve made the decision to buy an analytics solution, the next challenge is to figure out which product to buy. Unfortunately, the web and mobile analytics industry is riddled with myths spread by analytics vendors and users alike, clouding new buyers with misinformation. Spreading fear, uncertainty, and doubt (FUD) is a pretty common strategy in sales and marketing, but we’re going to set the record straight today. We’re going to debunk these six most common myths about web and mobile analytics products that we hear time and time again from our prospects and current customers.

  1. You can’t scale
  2. You’re too expensive
  3. Your dashboard performance sucks
  4. You can’t track users over different platforms
  5. No access to raw data
  6. Sharing data insights is too difficult.
    Let’s make sure you’re armed with the right information when you’re starting out the process of purchasing analytics.

Myth 1: You can’t scale

You need an analytics solution that can scale with your product as you add more features, as well with your growing user base. A lot of vendors claim they can scale better than other vendors but the proof is in the pudding. The best way to get to the truth behind the scalability of an analytics vendor, is simply asking different vendors how many events they’re tracking per month, as well as the event volume and number of active users currently had by their biggest customer. This way you have facts and are not relying on hearsay. [Tweet “Assess the #scalability of an #analytics vendor by asking about their event volume.”]

Myth 2: You’re too expensive

Pricing structures obviously vary from vendor to vendor. The best way to compare and understand how your company will be affected by pricing is to project how much you’ll have to spend when you add more users and increase the amount of data you are tracking. Before you jump to the conclusion that certain vendors are more expensive than others, be sure to explicitly _ask _vendors what you’ll be paying at your projected event volumes.

Myth 3: Your dashboard performance sucks

Many vendors spread FUD by stating that their competitors’ dashboard performance is too slow or isn’t up to par compared to theirs. Sometimes the best way to address this is to directly play with the tool you’re interested in and see how it holds up with queries. And don’t just take another company’s word for it, communicate with people who are already customers of the solution you’re considering.

**Myth 4: ****You can’t track users over different platforms **

Now that the vast majority of people are accessing the Internet across multiple devices–desktops, laptops, smartphones, tablets, you name it–it’s more important than ever to make sure to maintain your product’s identity and core user experience across different platforms and devices. If you want to understand how users are interacting with your product across various devices and platforms,** make sure the analytics platform has a good solution in place to track unique users**, not devices. Accurate cross-platform or cross-device tracking effectively solves the problem of merged users_ (more on this in an upcoming blog post)._ The best way to evaluate cross-platform tracking is to simply ask the vendor. Ask if they have a system in place to track unique users across devices or platforms. And ask for examples of current customers for whom segmenting across devices is critical to getting the full picture of their user behavior. [Tweet “For cross-platform functionality, make sure your #analytics solution can track unique users, not devices.”]

Myth 5: No access to raw data

One of the biggest concerns companies have about the “build vs buy” decision for web and mobile analytics is that buying an analytics solution means they will be unable to access their raw data. This access is something we believe every analytics solution should provide, but that few actually do. If running manual SQL queries is still something you want the flexibility to do on your data, Amplitude is one vendor that allows for direct SQL access to your data via Amazon Redshift.

Myth 6: Sharing data insights is too difficult

Every web and mobile analytics vendor claims they are the best at making data “accessible” to the whole company than their competition. In this sense, we are talking about data accessibility in terms of everyone in the company being able to look at the data they want to look at and feeling empowered to answer the analytics questions they want to answer, without having to go through a data science team or an analyst. Ask the vendors you’re looking into how they make data easy for the whole company to access. Does their product allow sharing charts via Slack or email? Can you set up custom dashboards with specific views? Generate email reports? One way we make data accessible to everyone is by enabling every Amplitude customer to share their dashboards via direct links to anyone they want, even if they don’t have an account with us. [Tweet “Buying #analytics? Ask vendors how they enable data access for the whole company”]

Other factors to consider

As you evaluate your web or mobile analytics solutions, we really want to encourage you to ask vendors about the myths listed above. Also be sure to ask about:

1. the product roadmap 2. best practices on how to get started with instrumentation and using the platform. 3. any relevant partnerships or integrations 4. assistance or trainings provided by customer success teams

By keeping these myths in mind, you will have a better understanding of which analytics products are best suited to your needs, without allowing FUD tactics to misguide you.

About the author
Alicia Shiu

Alicia Shiu

Former Growth Product Manager, Amplitude

More from Alicia

Alicia is a former Growth Product Manager at Amplitude, where she worked on projects and experiments spanning top of funnel, website optimization, and the new user experience. Prior to Amplitude, she worked on biomedical & neuroscience research (running very different experiments) at Stanford.

More from Alicia
Topics
Platform
  • AI Agents
  • Agent Analytics
  • AI Feedback
  • Amplitude MCP
  • Product Analytics
  • Web Analytics
  • Feature Experimentation
  • Feature Management
  • Web Experimentation
  • Session Replay
  • Guides and Surveys
  • Activation
Compare us
  • Adobe
  • Google Analytics
  • Contentsquare
  • Fullstory
  • Heap
  • LaunchDarkly
  • Mixpanel
  • Optimizely
  • Pendo
  • PostHog
Resources
  • Resource Library
  • Blog
  • Agent Prompt Library
  • Product Updates
  • AI Early Access Program
  • Amp Champs
  • Amplitude Academy
  • Events
  • Glossary
  • Free Chart Maker
Partners & Support
  • Status
  • Contact Us
  • Customer Help Center
  • Community
  • Developer Docs
  • Partner Program
  • Partner Directory
  • Become an affiliate
Company
  • About Us
  • Careers
  • Press & News
  • Investor Relations
  • Diversity, Equity & Inclusion
View markdown
Terms of ServicePrivacy NoticeAcceptable Use PolicyLegal
EnglishJapanese (日本語)Korean (한국어)Español (LATAM)Español (Spain)Português (Brasil)Português (Portugal)FrançaisDeutsch
© 2026 Amplitude, Inc. All rights reserved. Amplitude is a registered trademark of Amplitude, Inc.
Blog
InsightsProductCompanyCustomers
Topics

101

AI

APJ

Acquisition

Adobe Analytics

Agents

Amplify

Amplitude AI

Amplitude Academy

Amplitude Activation

Amplitude Agent Analytics

Amplitude Analytics

Amplitude Audiences

Amplitude Community

Amplitude Feature Experimentation

Amplitude Full Platform

Amplitude Guides and Surveys

Amplitude Heatmaps

Amplitude Made Easy

Amplitude Session Replay

Amplitude Web Experimentation

Amplitude on Amplitude

Analytics

B2B SaaS

Behavioral Analytics

Benchmarks

Churn Analysis

Cohort Analysis

Collaboration

Consolidation

Conversion

Customer Experience

Customer Lifetime Value

Customer Support

DEI

Data

Data Governance

Data Management

Data Tables

Digital Experience Maturity

Digital Native

Digital Transformer

EMEA

Ecommerce

Employee Resource Group

Engagement

Engineering

Event Tracking

Experimentation

Feature Adoption

Financial Services

Funnel Analysis

Getting Started

Global Agent

Google Analytics

Growth

Healthcare

How I Amplitude

Implementation

Integration

Kimi

LATAM

LLM

Life at Amplitude

MCP

Machine Learning

Marketing Analytics

Media and Entertainment

Metrics

Modern Data Series

Monetization

Next Gen Builders

North Star Metric

Open-Weight AI Models

Partnerships

Personalization

Pioneer Awards

Privacy

Product 50

Product Analytics

Product Design

Product Management

Product Releases

Product Strategy

Product-Led Growth

Recap

Retention

Revenue

Startup

Tech Stack

The Ampys

Warehouse-native Amplitude

Recommended Reading

article card image
Read 
Insights
I was the bottleneck

Sep 10, 2026

8 min read

article card image
Read 
Insights
Your agents are only as good as your data context

Sep 4, 2026

9 min read

article card image
Read 
Insights
The New Trust Economy in Financial Services

Sep 2, 2026

11 min read

article card image
Read 
Product
How to Secure AI Agent Traces Without Losing the Signal

Aug 28, 2026

7 min read

Explore Related Content

101
9 Top Feature Flag Solutions for Modern Product Teams in 2026

Jan 27, 2026

Integration
Using behavioral analytics for growth with the Amplitude app on HubSpot

Jun 17, 2024

10 min read

Personalization
Identity resolution: The secret to a 360-degree customer view

Feb 16, 2024

10 min read

Product
Inside warehouse-native Amplitude: A technical deep dive

Jun 27, 2023

15 min read

Guide
5 Proven Strategies to Boost Customer Engagement

Jul 12, 2023

Video
Designing High-Impact Experiments

May 13, 2024

Startup
9 direct-to-consumer marketing tactics to accelerate ecommerce growth

Feb 20, 2024

10 min read

Growth
Leveraging analytics to achieve product-market fit

Jul 20, 2023

10 min read