Our Work

“Their deep expertise in sales is impressive. Each time we meet, I feel like I have learned something new. We're currently getting roughly 10 booked meetings per week." Head of B2B Growth & RevOps, Tim Sonmez

We built out multi-channel campaigns for Blinkist to drive growth for their new B2B Business platform. After thorough A/Z testing we were able to find angles that resonated. We continued with advisory work across the sales cycle to improve show up and discovery to demo rates and continue to work on more GTM motions together.

“We’ve basically had the same amount of pipeline that we had in a full year [before Spring Drive] in one month…and we’ve already managed to convert some opportunities in month 1, which is super rare because our deal cycle is normally longer.” Co-Founder & COO, Markus Perkumas

We ideated multiple messaging strategies and deployed an personalized-at-scale campaign for Joy Resolve that generate over 138 leads in 1 month. Spring Drive was chosen as one of 3 Finalists at the UK Digital Excellence Awards 2025 for the Standout Use of AI category for our work with Joy Resolve.

“The results in terms of what we were expecting blew everything we had in mind out of the water. In terms of what Spring Drive were able to pull compared to other lead gen firms it's not even close.” - Founder, Doug Crisona

We built out tables that automatically enriched over 10k prospects a month with customer logos, allowing the team to create personalized messaging at scale with hyper-relevant research done automatically for them. The client used this system to book 44 meetings in 2 months.

Our focus was on heavy A/Z testing to finding message-market fit. As a complex SaaS tool, we had to find creative ways to simplify and create resonance at the same time for our client. Using our internal messaging frameworks and ideation, we found a winning message and delivered 52 meetings in 5 months for the client.

FinRec were in the recruiting space and knew that monitoring when their TAM were hiring was a key signal to get in touch with them. Initially, they would spend hours manually in LinkedIn Sales Navigator searching for and then taking out the data for it to be usable. We ideated different messages, tapped into hiring triggers, and found winning variants that booked meetings consistently month on month. In addition to a host of startups, we secured booked meetings with giants like American Express, Bank of Ireland, and TD.

Simply Solved Solutions were trying to create more impactful and personalized lead magnets based for prospects to generate more leads for their FB advertising company. We ideated unique magnets that cut through and differentiated the client in their prospects' inboxes. As a result, our campaign generated them over 90 leads in 6 weeks.

SalesRobot wanted to know across a huge range of agencies what work they might be doing with LinkedIn so they could create an offer based on their services - LinkedIn ads, LinkedIn outbound, LinkedIn content, or an agency that wasn't doing any but could benefit from LinkedIn services. We ran agentic research and built a prompt engineering waterfall that conducted this research on companies to extract what they did, parse out that as a label, and then score them accordingly. Our campaign validated the channel for their internal team, booking 10 meetings in 4 weeks.

We built a prompt with an agent to automatically research the target ICP for over 20,000 accounts, and then format the results at scale. We supplied that research and data to Prospeo to use in messaging so they could relate their product to the prospect's target customers. This resulted in their team generating over 38 leads in a month and getting clarity on who their best segment was. They could add more companies to that table at will and those waterfall enrichments would run on-demand to deliver the same data for a new batch of accounts.

We used agentic research across Claude, Perplexity, and GPT to run deep research model prompting that created an executive report on companies in their potential TAM with 2 prompts designed to scrape and qualify accounts based on their relevance to US Defense related work. We then ran the agent to scrape multiple data points from LinkedIn, to their website, to blog information to across the web, and find if there was anything to determine their likelihood of being involve in defense contract work. We parsed out the conclusions and scored the accounts, qualifying out those that weren't relevant. For those that had one, we were also able to find the specific CAGE codes for each company. After building out the agentic prompt waterfall, we automated this for over 36k prospects.