Time spent on LinkedIn searching for new contacts and spreadsheets galore with stale data all takes time away from us that we might have been spending making deals. But then came Generect, and all that changed. We realized how real-time verified contacts save time on searching and enable us to focus on what matters the most — engaging with clients.
Today, we’d like to tell you about our experience and demonstrate how this app became a key element of our sales strategy and how it turned raw data into signed contracts. We’ll uncover the magic of integrating the app, using the API, and automating processes to take your U.S. business to the next level.
Data — The Heart of Sales
Working with accurate data is like possessing a treasure map, and every pin leads you to an existing client. It was clear to us that without good data, all your sales efforts are going to waste. You will send a hundred messages, and fifty of them will come back as the delivery fails. Not just painful, but it hurts your reputation. Generect.com solves this problem by delivering a 400 million contact database whose every address is verified in real-time, immediately reducing the failure rate to zero.
We started using the software to find decision-makers that matched our ideal customer profile (ICP), and within weeks, we noticed an increase in responses. The Generect API allows us to bypass verified contacts directly into our funnel automatically, and integrating the software into our sales system was easier than expected. We actually put it on our CRM, in our case, HubSpot, and it did not take more than 10 minutes, and it did not need any developers.
We started small: defining filters by company size, industries, and jobs. Let’s say, for example, that our ICP is sales managers at tech startups with 50 or more employees. The software immediately provides us with a list of prospects. The contacts are enriched with additional data, such as jobs and companies, making our cold calling strategy more targeted.
We also configured the system to automatically top up our database with new contacts every day, which was very convenient when we had a few campaigns running simultaneously. For instance, there was a startup team and a team for established players, such as those in Amazon’s portfolio. It is simple: define the parameters, and the tool makes lists in the background. And at a mere $0.03 for every valid address found and $0.02 for every export, it ends up costing less than it would to have an employee manually collect data.
Turning Data Into Deals
Once the data is ready, a new stage begins. We used enriched leads to craft personalized emails. For instance, knowing that a manager from Silicon Valley works at a company with $10 million in revenue, we tailored our offer to match his specific needs.
This process became more efficient for us thanks to the following steps:
- Personalizing emails based on the client’s role and company.
- Automatically integrating new contacts into email sequences via API;
- Segmenting leads by region for precise task allocation;
- Analyzing responses to optimize future campaigns.
When we linked the Generect API with our email automation system, all new contacts were automatically inserted into the email chain, which reduced our sales cycle from weeks to days and made our response rate 61%. This was also largely successful because the tool could divide leads by region. The team in New York worked on the East Coast, and the California team worked on the West Coast; by doing so, we managed to spread efforts more evenly without losing track.
A Startup and Growing Team Partner
To our managers, Generect was not just a tool anymore but a really important partner, at least with the assistance of such functions as a hidden list search and a domain validation that help to be sure that each contact is real.
This is particularly useful when preparing investor presentations with lead and conversion data. We were pitching to a fund in San Francisco, and thanks to reliable data, we demonstrated a 72.5% increase in responses and reduced “empty” leads to just 2%, which impressed the investors and secured funding for the next round.
| Metric | Before integration | After integration |
| Email bounce rate | 15% | 2% |
| Lead discovery rate | 45% | 72.5% |
| Conversion rate | 2% | 5% |
| Time to find leads | 60 min | 5 min |
| Lead data validity | 70% | 98% |
This graph shows us how integration changed our work model. We did not just find more leads — we started to deal with those who actually were willing to make a deal.
To us, as an early-stage team, Generect was literally a bridge to the market. We could easily validate our ICP by looking for decision-makers at startups like those in Google’s portfolio, and therefore, we could focus on negotiations instead of searching. And when we expanded our team even more, the tool expanded with us, supporting up to 10 campaigns simultaneously. It’s like installing another motor in the boat; speed increases and effort decreases.
Conclusion: An Empirical Step Towards Growth
Integrating Generect into our sales stack is not just a technical move; it’s a strategically sound decision where data turns into deals and time spent searching is freed up for client conversations. So if you want to accelerate sales and cut down on routine, just try the tool and see its effectiveness for yourself. Give your team the chance to focus on growth, turning data into profit.
