Samiyan discovered Valley through a recommendation.

His account executive was the early champion. "He was a big advocate for you guys,"

Samiyan recalls, "he said, 'Hey, this can work. Sam, let's just try it out.'"

The initial reaction was skepticism. Samiyan was paying effectively nothing for his five permanent GetSales seats.

Valley was $1,000 for three seats. "I was like, this is a thousand dollars for three seats. Why should I go for this?" But his account executive pushed, and they committed.

The Ramp-Up

The first few weeks required patience. Valley's AI needed time to learn Smallest.ai's ICP, value propositions, and messaging style. "It took us time," Samiyan acknowledges. "In hindsight, I think we should have kept running GetSales in parallel for the first two weeks while the engine warmed up."

But once Valley's AI was trained, the difference was immediate. "It's very good at copywriting," Samiyan notes. "I didn't have to really do a lot of copywriting after I just did it a bit and it gets the hang of how I want the copies to be sent out. Give me the intro and I'm good. I can take it to the next level from there."

The Three-Seat Strategy

Samiyan structured his Valley deployment across three accounts, each with a distinct purpose. The CEO and account executive both based in the US focused on in-person meeting conversions. Samiyan focused on booking meetings with VPs and directors who were more open to virtual conversations. This division of labor meant Valley was running personalized enterprise outreach around the clock across three different profiles.

The Competitor Displacement Workflow

The real breakthrough came when Samiyan built what he calls his "competitor displacement workflow" a campaign strategy targeting customers and followers of direct competitors like ElevenLabs.

The workflow combines Clay with Valley in a tight loop. First, Samiyan scrapes a competitor's LinkedIn network and runs the contacts through Clay to qualify them as high, medium, or low ICP. He checks against his CRM to filter out existing contacts, then uploads the refined CSV directly into Valley.

Valley then takes over qualifying each lead further into high, medium, and low fit buckets, scraping their LinkedIn profiles, and generating contextual messaging that references specific details about each prospect's company and role. "You already have the signals of who that person is, what to look at exactly," Samiyan explains.

"So we put in those points and the contextual copies that come out are really good. It just required a couple of sentences here and there, but it was really bang on."

The Post Engagement Strategy

Samiyan's second workflow leverages Valley's post engagement scraping. He feeds competitor posts into Valley, which automatically fetches the engagers, enriches their profiles, and qualifies them by ICP fit.

"Best part here is that I don't have to do any sort of Clay workflow," he notes. "Just copy paste the link to Valley and it will go ahead, fetch them out, do all the enrichment for me."

His rule is strict: only target high-ICP prospects. "Medium ICP will only take up your LinkedIn account bandwidth," Samiyan advises. "Always go for the high ICP."

Daily Workflow

The operational lift is minimal. Samiyan adds new leads in the morning, creates a campaign, then returns in the evening to review and refine the generated copy. By the next day, the campaign is live.

"Valley is much faster in terms of starting my campaigns and starting my outreach," he shares. "It's sort of like a total automation tool, you just keep adding leads, create a new campaign, and it keeps creating copies."