Best Recognition & Rewards Tools
Compare peer-to-peer employee recognition and rewards platforms — points-based systems, reward catalogs, and enterprise social recognition.
How to Choose
This is a genuinely distinct market from general engagement suites: these tools exist specifically to power everyday peer-to-peer recognition backed by real rewards. Bonusly and Nectar are both simply priced per seat ($3-$6/user/month) and hold nearly identical top-tier G2 ratings (4.7/5), differing mainly in reported minimum contract size. Workhuman is the outlier, built specifically for large, multinational enterprises with custom, contact-sales pricing and multilingual/multicurrency support neither Bonusly nor Nectar publishes.
Quick Comparison
Workhuman
Large, multinational enterprises
Bonusly
Mid-market teams wanting lightweight, frequent peer recognition
Nectar
Teams wanting the highest-rated recognition platform with straightforward per-user pricing
Achievers
Large enterprises wanting the top-ranked recognition platform by G2's own category data
| Feature | Workhuman | Bonusly | Nectar | Achievers |
|---|---|---|---|---|
| Peer-to-peer social recognition | ||||
| AI-surfaced culture and engagement insights | ||||
| Manager tools to spot recognition gaps | ||||
| Global, multilingual enterprise support | ||||
| Peer-to-peer points-based recognition | ||||
| Custom reward catalog (gift cards, donations, swag) | ||||
| Manager and culture analytics dashboards | ||||
| Slack/Teams-native recognition flows | ||||
| Peer-to-peer and manager-to-peer recognition | ||||
| Points-based rewards catalog | ||||
| Culture and recognition analytics | ||||
| Core-values-aligned recognition tagging | ||||
| Social recognition feed and engagement reporting |
Frequently Asked Questions
Bonusly starts at $3/seat/month and Nectar at $5/user/month, both with real published pricing. Workhuman is enterprise-only, quoted directly by sales.
Bonusly and Nectar are both priced and built for smaller-to-mid-market teams; Workhuman is specifically built for large, often multinational enterprises and isn't a realistic fit below that scale.