Amplitude Startup Deals & Discounts

Turn product behavior into decisions teams can act on

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Deal Overview

Best Offer

$40K

Total Value

$41.1K

Available Deals

5

Available Deals

Subscribe to unlock deals - promo codes, redemption steps and exact eligibility are for subscribers. Create an account to get started.

Open Access40K

$40,000 in credits

$40,000 in credits

Promo code, redemption steps & eligibility

Open Access600

12 months free on "Growth" plan

12 months free

Promo code, redemption steps & eligibility

Open Access200

20% off on annual plan

20% off

Promo code, redemption steps & eligibility

Open Access200

Additional 25% off on "Plus" plan

25% off

Promo code, redemption steps & eligibility

Open Access61

Save up to $61

Save up to $61

Promo code, redemption steps & eligibility

Amplitude Startup Deals - Overview

Amplitude supports early-stage companies through an application-based startup program and standard discounting on its paid tiers. Qualifying startups may receive a sizable credit package (reported up to roughly $40,000) toward Amplitude usage, while other listed offers include a stretch of free months on the Growth plan and percentage discounts on annual Plus and other paid plans. Any startup product can also begin on the free Starter tier with no commitment. Eligibility, credit amounts, and discount terms are set by Amplitude and confirmed during the application process, so actual benefits vary by company. See ClaimStartupGrants for the current verified Amplitude deals.

About Amplitude

Every tap, swipe, and screen view inside a digital product tells you something about what people want - and Amplitude is built to read that signal at scale. Rather than reporting on pageviews and sessions the way a traditional web analytics tool would, it stitches each user action into a connected timeline so product, growth, data, and marketing teams can see exactly how real customers move throug...

Key Features

Behavioral analytics core

Funnels, retention curves, user paths, and behavioral cohorts let you trace how people actually move through a product, where they drop off, and which actions correlate with sticking around - going well beyond surface traffic counts.

Session Replay

Watch reconstructions of real user sessions to see the clicks, scrolls, and dead-ends behind a metric. Replays sit next to the quantitative charts, so you can jump from a drop-off number straight to the moments that caused it.

Experimentation suite

Feature Experiment and Web Experiment cover both server-side feature flags and no-code website tests, with statistical methods like sequential testing and CUPED so teams can ship changes and measure causal impact rather than guessing.

Guides and Surveys

Trigger in-app messages, tooltips, and surveys based on real behavior to onboard users, announce features, and collect feedback - then tie responses back to what those users went on to do.

AI agents

A suite of AI agents introduced in 2026 monitors dashboards for meaningful metric shifts, reviews session replays for hidden friction, helps run experiments, and turns survey and ticket feedback into themes - surfacing findings and recommended actions automatically.

Activation and data routing

Built-in audience and CDP-style capabilities let you define segments from behavioral data and sync them to downstream marketing and messaging tools, closing the loop between insight and action.

Pros & Cons

Pros

Depth of behavioral insight - Purpose-built for product-led teams, Amplitude answers retention, cohort, and journey questions that generic page-and-session analytics tools struggle with.
One connected platform - Analytics, session replay, experimentation, in-app guides, and AI agents all share a single behavioral dataset, reducing the stitching work of running separate point tools.
Genuinely usable free tier - The Starter plan tracks up to 10,000 monthly users and 2 million events at no cost, which is enough for many early-stage products to run real analysis before paying anything.

Cons

Learning curve for newcomers - The breadth of charting and segmentation options can feel heavy for first-time users, and getting value usually requires understanding event-based analytics concepts.
Up-front instrumentation work - Reliable insights depend on a clean event taxonomy, so teams need to plan and maintain their tracking schema rather than expecting useful data out of the box.
Costs can climb with scale - Pricing is driven largely by monthly tracked users and event volume, so a fast-growing product can move from the free tier to substantial custom Growth or Enterprise pricing quickly.

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