DataCops vs Amplitude

Full behavioral event stream for Amplitude - including the users blockers hide.

Amplitude's models are only as good as the events feeding them. DataCops captures every session first-party and forwards a complete, deduplicated event stream to your Amplitude workspace - so predictions and experiments run on real data.

Start Free
40–60%of conversions lost to ad blockers in legacy tools
< 30 minto go live with DataCops - one script, one CNAME
9–10event match quality on Meta & Google after switch

Why first-party wins - feature by feature

DataCops doesn't just replace a tracker. It eliminates the three root causes of missing data - blocking, cookie limits, and consent gates - all from a single install.

Billing Model
AmplitudePer-MTU - cost scales against every new user
DataCopsFlat monthly - no per-user or per-event charges
Amplitude's MTU-based pricing means your analytics bill grows in lockstep with acquisition success. A product launch or viral moment that doubles your user base doubles your Amplitude cost.
Amplitude Experiment Cohort Bias
AmplitudeAd-blocked users missing from experiment cohorts
DataCopsAll users included - no systematic exclusion
Amplitude Experiment assigns users to variants using client-side SDK calls. Users who block cdn.amplitude.com are never bucketed. Experiment results are measured on the sub-population that runs without blockers - a biased sample.
Recommend / Predict Training Data
AmplitudePrediction models train on incomplete behavioral data
DataCopsModels fed complete first-party event stream
Amplitude's Recommend and Predict features infer future behavior from historical events. Missing 30–50% of events - especially from power users who run ad blockers - trains models on a sample that skews toward less-engaged users.
SDK Blocking Rate
Amplitudecdn.amplitude.com blocked by Brave, uBlock, AdGuard
DataCopsFirst-party - invisible to all block lists
B2B and developer-focused products using Amplitude face ad blocker rates of 50–80% among their core users. Amplitude's SDK never loads, so those users never appear in any analysis.
ITP / Cookie Fragmentation
AmplitudeUser IDs fragment on Safari every 7 days
DataCopsStable server-side user_id survives any browser change
Amplitude relies on cookies and localStorage for user identification. Safari's ITP degrades these on a rolling 7-day window, inflating new-user counts and degrading retention cohort accuracy for iOS traffic.
CAPI Integration
AmplitudeNo ad-platform CAPI - analytics only
DataCopsBuilt-in Meta, Google, TikTok, LinkedIn CAPI
Amplitude product analytics has no pathway to Meta Conversions API or Google Enhanced Conversions. Teams use Amplitude for product analysis but still rely on broken pixels for ad-platform optimization.
Bot Filtering
AmplitudeNo real-time fraud scoring - bots inflate product metrics
DataCopsReal-time behavioral + fingerprint scoring
Bot-generated sessions in Amplitude inflate session counts, distort feature adoption funnels, and pollute cohort analysis. Amplitude has no mechanism to detect or remove sophisticated bots post-ingestion.
Consent Management
AmplitudeNo CMP - separate tool required
DataCopsTCF 2.2 certified CMP built-in
Teams using Amplitude in EU markets must separately implement a TCF-certified CMP and custom consent propagation to control when Amplitude fires. DataCops ships with this wired automatically.
Server-Side Capture
AmplitudeClient-side SDK primary - server relay possible but not native
DataCopsNatively server-side - first-party subdomain capture
Amplitude's server-side HTTP API allows event ingestion but still requires a capture layer on your infrastructure. DataCops operates as that capture layer, sending events to Amplitude via API while also routing to CAPI destinations.
Pricing Transparency
AmplitudeMTU tiers with overage charges - unpredictable at scale
DataCopsFlat - one price, no growth penalties
Amplitude's enterprise contracts include MTU bands. Exceeding your band triggers overage discussions. DataCops flat pricing means no surprise invoices when a campaign drives a traffic spike.

One platform that captures, verifies, and activates - instead of patching three tools together.

The Problem with Amplitude

Amplitude's predictive models train on incomplete event data.

Amplitude is one of the most sophisticated behavioral analytics platforms available. But its ML models, cohort predictions, and funnel analysis are trained on whatever events it receives. If 30–50% of events are missing, the predictions are modeled on a biased sample.

How the event gap skews Amplitude analysis

B2B SaaS and developer-tool companies using Amplitude often have the highest ad blocker rates (50–80%) among their users. Amplitude's SDK is served from cdn.amplitude.com - a known analytics domain blocked by default. The user behavior you need to optimize is from the users most likely to block your analytics.

Amplitude's user paths and retention cohorts depend on consistent user identification. ITP and cookie deletion create spurious 'new user' events for returning users who clear storage. Churn calculations overstate, retention cohorts understate, and lifecycle analysis skews pessimistic.

Amplitude Recommend and Amplitude Experiment use behavioral signals to personalize and test. Missing 30–50% of behavioral events doesn't just reduce precision - it systematically biases which users make it into experiment buckets and how their outcomes are measured.

DataCops as the capture layer for Amplitude

DataCops captures events first-party from your own subdomain and forwards them to Amplitude via HTTP API. No amplitude.com domains are loaded in the browser - ad-blocking users get tracked for the first time. B2B SaaS teams typically see event volume increase 25-55%, particularly among the technical power users whose behavior matters most.

Amplitude Experiment assigns users to variants using client-side SDK calls. Users who block cdn.amplitude.com are never bucketed, biasing your experiments. DataCops server-side capture ensures every user is tracked and eligible for experiments - including the users most likely to block analytics scripts.

Because DataCops resolves identity server-side from email, phone, and device fingerprint, Amplitude's user profiles stay coherent across devices and cookie clears. Retention charts reflect reality instead of showing false churn from ITP-fragmented iOS sessions.

Switching is seamless

One script tag, one CNAME, and you're live in under 30 minutes.

Noise Background
Step 1
code

Add the Tracking Script and Validate

Paste this into your website's <head> tag:

<script src="https://datacops.yourdomain.com/core.js"></script>
Step 2
dns

Point Your DNS to DataCops

Add one CNAME record:

datacops
cdn.yourdomain.com

Live in 5-30 minutes. Complete data capture begins automatically.

Integration

Our Script almost works flawlessly with any website framework to collect analytics data in a more accurate manner!

DataCops Integration Ecosystem showing connections to Meta, Google Ads, LinkedIn, TikTok and various CMS platforms like WordPress, Shopify, and React

FAQ

Because your current tool is measuring a fraction of your actual traffic. Ad blockers, ITP, and consent dropoff silently remove 30–60% of sessions before they ever reach GA4, Mixpanel, Amplitude, or PostHog. DataCops runs on your own subdomain, captures the full picture, and feeds clean events to your existing stack - so you don't replace your BI layer, you just give it real data.

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