Valley Turns Live Buying Signals Into Email and LinkedIn Conversations

Valley, the AI outbound platform for B2B sales teams, founders and lead generation agencies, now runs the whole outbound job in one place. It finds buyers from live buying signals, qualifies them against a team's ideal customer profile, researches each person and sends personalized messages across email and LinkedIn, written in the sender's voice.

The latest version of Valley runs email and LinkedIn in the same sequence and adds playbooks: guided starting points built around a specific buying signal. It replaces the patchwork most outbound teams run today, with one tool to spot signals, another to enrich and research contacts, a chatbot to draft messages and separate tools to send. Each handoff loses context, and the messages that come out read as if they were written for no one in particular. Reply rates across the category average about 2%.

"Valley was sales-led for three years. We opened it up to self-serve because the messaging and the signals finally got good enough that the product could stand in a room without us," said Zayd Ali, founder and CEO of Valley. "Good outbound is simple. Message the people who looked at your profile this week, say something normal, ask one question. Valley does the finding, the research and the writing, so a team can do that for every buyer showing intent, from one place."

How Valley works, from signal to reply

Valley splits outbound into five steps and carries the context from each step into the next.

• Find buyers from live signals. Valley watches for people viewing a sender's LinkedIn profile, engaging with their posts or a competitor's, companies hiring for roles the product supports, new funding rounds and job changes. Teams can also describe their ideal customer in plain language, or bring their own lists from a CSV file, Sales Navigator or the API.

• Qualify every prospect. Each person is checked against the team's ideal customer profile, and Valley explains why they fit or do not. Users can correct a decision and re-check the list.

• Research each person. Valley reads a prospect's posts, interviews, company news, podcasts and newsletters, and shows the sources it used, so every message starts from a specific reason to reach out.

• Write in the sender's voice. Messages follow the sender's own phrasing, using a writing model trained on more than 500,000 real messages. Teams can approve every message before it goes out, or let a campaign send on its own once they trust it.

• Send across LinkedIn and email. Both channels run in one sequence. Follow-ups stop when someone replies, and every reply lands in one inbox.

New users start by pasting in their website. Valley Scout, the platform's AI outbound assistant, learns what the company sells and who it helps, then suggests a playbook, such as reaching people who engage with the team's content, companies that are hiring, or a competitor's audience. Valley also connects to HubSpot and offers an API and an MCP server for teams that run their go-to-market work from tools such as Claude. A step-by-step walkthrough is at joinvalley.co/product.

Fewer messages, better replies

Valley is built for teams that would rather message 500 people who know who they are than 10,000 who do not. Messages go out from the team's own LinkedIn and email accounts, and every campaign starts from people who already have a reason to talk. It is not designed as a high-volume cold email tool.

The platform is made for founders, B2B sales teams and lead generation agencies where outbound is how the business grows, not an experiment for one quarter. It is the wrong fit for teams that want to hand LinkedIn outreach to software and never look at it again: the people whose names are on the messages stay in control of what gets sent.

That focus shows up in the replies. Customers have sent more than 30 million messages through Valley and report reply rates of 15-45%.

"The quality of conversations were as good as if I was typing it myself," said David Baeza, founder and CEO of Butteredtoast.

What customers report

More than 300 teams use Valley, including Miro, UiPath, Bolt.new, ThinkFish and GGWP. Results published on Valley's website include:

• Bolt.new booked 25 enterprise demos in 45 days and generated more than $1 million in pipeline in its first 60 days.

• GGWP generated $4 million in pipeline within a quarter, with response rates of 20-30%.

• ThinkFish books about 400 meetings a month across 50 Valley seats, run by two people.

• Linarca booked 14 meetings in its first month.

Pricing and availability

Valley is available now. The Starter plan costs $199 per seat per month, or $149 per month billed quarterly, and covers prospecting, qualification, research and LinkedIn outreach, with email sending as an add-on. The Plus plan, at $299 per month, includes 1,000 email messages a month, priority support and an onboarding call. Teams of five or more seats can get custom pricing. Eligible new subscribers get a 7-day trial, and a payment method is required. Plan details are at joinvalley.co/pricing.

About Valley

Valley is an AI outbound platform that finds the people most likely to buy from you - from live buying signals, natural-language search, or your own lists - qualifies them against your ICP, researches each one, and sends personalized messages across email and LinkedIn that get 15-45% reply rates, against a category average of about 2%. Founded in 2023 by Zayd Ali and headquartered in New York, Valley (also known as Valley AI) is used by 300+ teams, including Miro, UiPath, Bolt.new, ThinkFish and GGWP. Learn more at joinvalley.co.