Valley
Valley is an AI sales agent (BDR) tool designed to automate and personalize outreach on LinkedIn. It offers in-depth prospect research, personalized message generation in the user's voice, while staying within LinkedIn's platform limits. Its approach is LinkedIn-centric and targets a global audience, with a strong focus on the US market.
- Category
- AI sales agents (BDR)
- Coverage
- Global, US-centric
- Pricing model
- Subscription, quote-based
- Website
- joinvalley.co ↗
Key features
Strengths
- Deep personalization on LinkedIn
- Built to stay within platform limits
Keep in mind
- LinkedIn-centric, oversight recommended
Who it’s for and use cases
Valley is suitable for sales teams, particularly SDRs and BDRs, looking to optimize their LinkedIn outreach with a personalized and scalable approach. It is especially useful for companies targeting prospects in the US or internationally. To maximize its effectiveness, it can be combined with data enrichment tools (such as Listar) to verify and complete prospect information before sending messages.
Frequently asked questions
On which platforms can Valley be used?
Valley is specifically designed for LinkedIn and does not cover other outreach platforms.
Does Valley allow for message personalization?
Yes, Valley generates personalized messages in the user's voice, with a focus on maintaining authenticity.
Is supervision required for Valley's actions?
Yes, supervision is recommended to ensure interactions remain compliant with expectations and LinkedIn's rules.
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<a href="https://listar.fr/en/sales-software/valley"><img src="https://listar.fr/badges/listar-sales-directory-en.svg" alt="Listed in Listar’s Sales tools directory" width="240" height="56" style="border:0" loading="lazy"></a>Something to fix or a tool to add? Contact us via the trust center. Trust center.
The data Valley relies on, Listar finds and verifies
A tool is only as good as the data it uses. Listar reconstructs and verifies professional emails and phones from a name and a company, with a waterfall across 30+ sources.
Discover Listar