---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "eBird"
developer_entity: "Cornell University"
bundle_id: "edu.cornell.birds.ebird"
app_store_id: "988799279"
category: "Reference"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-04-13"
report_date: "2026-04-15"
report_version: "3.6.1"
total_reviews: 4628
overall_rating: 3.94
confidence: "low"
confidence_score: 0.25
data_age_days: 2
intelligence_version: 2
tags: ["reference", "free", "mobile app", "app review", "app analysis", "birdwatchers", "citizen", "scientists"]
canonical_url: "https://marlvel.ai/intel-report/reference/edu-cornell-birds-ebird"
license: "CC-BY-NC 4.0"
---

# eBird App Audit

> **TL;DR:** eBird is a reference app by Cornell University, rated 3.94/5 by 4.6K users, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** eBird is a reference app by Cornell University.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 3.94/5 (4.6K reviews) |
| **Category** | Reference |
| **Developer** | Cornell University |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.25/1.0) |
| **Data Age** | 2d |

## Metadata & Market Performance
- **Publisher:** Cornell University
- **Category:** Reference
- **Target Audience:** Birdwatchers and citizen scientists interested in tracking species and contributing to global ornithological research.
- **Platforms:** iOS & Android
- **Version Audited:** 3.6.1
- **Audit Date:** 2026-04-15
- **Signal Count:** 5 reviews analyzed
- **Confidence:** Low (0.25/1.0)
- **App Store ID (iOS):** 988799279
- **Bundle ID:** edu.cornell.birds.ebird
- **Google Play ID:** edu.cornell.birds.ebird
- **Data Window:** Analysis based on signals collected up to 2026-04-15
- **Short Description:** eBird Mobile lets you record the birds you see, adding them to eBird with ease

<!-- section:executive-snapshot -->
## Executive Snapshot
eBird is a citizen science tool developed by Cornell University that allows users to record bird observations in the field and sync them with a global database. It provides a standardized platform for birders to track personal records while contributing data to scientific research and conservation efforts.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Global Data Entry:** Enables users to record bird observations from any location worldwide using a global taxonomy based on The Clements Checklist.
- **[Standard] Location-Based Checklists:** Provides customized checklists that suggest likely species based on the user's specific location and time of year.
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Standard] Record as You Go:** Supports incremental list keeping and counting of bird sightings while in the field.
- **[Standard] Rare Species Alerts:** Automatically flags rare species during the data entry process to ensure data accuracy.
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Free

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway)

eBird is an established reference app that is completely free.
With a 3.94/5 rating from 4.6K reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** While the app is a highly regarded tool for scientific data collection, users report significant technical issues regarding the initial download of regional data packs.
<!-- speakable-end -->

**Best for:** Birdwatchers and citizen scientists interested in tracking species and contributing to global ornithological research.

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 3.94/5 |
| Total Reviews | 4.6K |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **eBird** (this app) | 3.94/5 | N/A | Cornell University |
| [Hallow: Prayer & Meditation](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) | 4.8/5 | Frustrated | Hallow, Inc. |
| [Antique Appraisal: ID Anything](https://marlvel.ai/intel-report/reference/antique-appraisal-id-anything) | N/A/5 | N/A | Dung Vu |
| [LookUp: English Dictionary](https://marlvel.ai/intel-report/reference/lookup-english-dictionary) | 4.7/5 | N/A | Squircle Apps LLP |
| [The CIA World Factbook](https://marlvel.ai/intel-report/reference/name-xianan-chen-theworld) | 4.3/5 | Mixed | 贤安 陈 |
| [Quran Majeed Pro القرآن المجيد](https://marlvel.ai/intel-report/reference/com-pakdata-quranmajeed) | 4.8/5 | N/A | Pakistan Data Management Services |

## Company Profile
- **Developer:** Cornell University
- **Website:** [https://help.ebird.org/customer/portal/articles/1848031](https://help.ebird.org/customer/portal/articles/1848031)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/ebird/id988799279?uo=2)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=edu.cornell.birds.ebird&hl=en&gl=us)
- **Dev Site:** [Official Website](https://help.ebird.org/customer/portal/articles/1848031)
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*Hallow: Prayer & Meditation*](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) (Hallow, Inc.) — 4.8/5 Rating | Negative Sentiment
- [*Antique Appraisal: ID Anything*](https://marlvel.ai/intel-report/reference/antique-appraisal-id-anything) (Dung Vu) — N/A Rating | N/A Sentiment
- [*LookUp: English Dictionary*](https://marlvel.ai/intel-report/reference/lookup-english-dictionary) (Squircle Apps LLP) — 4.7/5 Rating | N/A Sentiment
- [*The CIA World Factbook*](https://marlvel.ai/intel-report/reference/name-xianan-chen-theworld) (贤安 陈) — 4.3/5 Rating | Mixed Sentiment
- [*Quran Majeed Pro القرآن المجيد*](https://marlvel.ai/intel-report/reference/com-pakdata-quranmajeed) (Pakistan Data Management Services) — 4.8/5 Rating | N/A Sentiment
- [*HolyBible K.J.V. Pro*](https://marlvel.ai/intel-report/reference/com-abc-biblepro) (ThoughtFul) — 4.9/5 Rating | N/A Sentiment
- [*Deen Buddy - Quran & Prayer*](https://marlvel.ai/intel-report/reference/deen-buddy-deen-buddy) (ZAMZAM TECHNOLOGIES LLC) — 4.5/5 Rating | Negative Sentiment
- [*Siddur - Edot HaMizrach*](https://marlvel.ai/intel-report/reference/siddur-edot-hamizrach) (Dor Pascal) — 1.0/5 Rating | N/A Sentiment
- [*Tanakh for Safari*](https://marlvel.ai/intel-report/reference/tanakh-for-safari) (Dor Pascal) — N/A Rating | N/A Sentiment
- [*Poster Identifier*](https://marlvel.ai/intel-report/reference/poster-identifier) (Dung Vu) — 3.0/5 Rating | N/A Sentiment

## Methodology

This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline:

1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning.
2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes.
3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights.

- **Confidence Score:** 0.25/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 5
- **Data Sources:** user reviews, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 2 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/reference/edu-cornell-birds-ebird)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.