Matthew

AI-powered inbox that triages and converts inbound leads automatically.

4.4 (5)

Avaliado por Daniel Nikulshyn·Atualizado maio de 2026

Lead Generation Productivity Customer Support Sales AI Assistant Email Automation Inbox Management

Visão geral

Matthew is an AI-driven inbox built to help sales and support teams turn incoming messages into qualified opportunities. It reads, sorts, and responds to leads across channels, surfacing the conversations most likely to convert and handling routine replies on its own. By combining lead scoring, automated follow-ups, and contextual drafting, Matthew aims to shorten response times and reduce the manual work of managing a high-volume inbox. Teams can let it run on autopilot for repetitive interactions while stepping in for higher-value conversations.

Funcionalidades principais

AI-generated reply drafts
Automated lead scoring and routing
Multi-message follow-up sequences
Unified inbox for inbound leads
Conversion-focused analytics
Hands-off autopilot mode

Casos de uso

Auto-triage high-volume inbound leads

Sales teams can let Matthew score and route incoming messages so reps focus only on the highest-intent prospects instead of manually sorting through every email.

Automated follow-up sequences

Run multi-message follow-ups on autopilot to nurture leads who don't reply immediately, keeping conversations warm without manual reminders.

Drafting contextual replies at scale

Support and sales reps can use AI-generated drafts to respond faster to routine inquiries while reviewing and personalizing replies for nuanced conversations.

Measuring inbox conversion performance

Use conversion-focused analytics to track which inbound conversations turn into opportunities and refine messaging strategies based on real outcomes.

Prós e contras

Prós

Automates lead qualification and follow-up
Faster response times on inbound messages
Reduces repetitive inbox work
Prioritizes high-intent conversations

Contras

Limited transparency on supported integrations
AI replies may need human review for nuance
Best suited to sales-style use cases

Avaliações

4.4

Média de 5 avaliações.

Entra para deixar uma avaliação.

Sofia Lindqvist

Years in this space

I've evaluated a lot of these over the years. What stands out here is multi-message follow-up sequences — handled better than most — and automates lead qualification and follow-up. AI replies may need human review for nuance is my one real gripe. Worth the time if this is your use case.

Hannah Goldberg

Compared a few options

Evaluated this against two competitors. Where it wins: multi-message follow-up sequences and automates lead qualification and follow-up. On balance the feature set — especially unified inbox for inbound leads — justifies the 5 stars for our use case.

Daniel Schmidt

Compared a few options

Evaluated this against two competitors. Where it wins: aI-generated reply drafts and automates lead qualification and follow-up. Where it lags: best suited to sales-style use cases. On balance the feature set — especially unified inbox for inbound leads — justifies the 4 stars for our use case.

Margaret Whitfield

Does the job

Pretty happy overall. Automated lead scoring and routing just works and prioritizes high-intent conversations. Best suited to sales-style use cases can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Omar Haddad

Solid for our team

We rolled this out across the team last quarter and automates lead qualification and follow-up. Unified inbox for inbound leads fits neatly into how we already work, and conversion-focused analytics removed a step we used to do by hand. AI replies may need human review for nuance, which is the main caveat, but it has held up under daily use.