At Pearl Lemon, outbound marketing plays a central role in how we generate pipeline for both our own services and our clients’. We work across a wide range of industries and campaign types, which means we are constantly launching, testing, and iterating on new outreach funnels. In that environment, the quality of our data has an outsized impact on results.
Over time, we’ve learned that even the best copy, offers, and sequencing strategies will underperform if the data we’re using is low quality. That’s where Coldlytics has become an important part of our growth.
We think of Coldlytics as a precision data engine rather than a traditional lead database or scraping tool. Instead of relying solely on automation, their lists are built through a human-led research process guided by detailed briefs.
That distinction is critical for us. Many of the niches we work in require accurate job titles, seniority levels, and contextual relevance that automated scrapers often struggle to capture. Coldlytics consistently delivers cleaner, more targeted data, particularly in segments where intent and specificity matter more than raw volume.
From an agency perspective, the appeal is straightforward: better data upfront reduces friction across the rest of the campaign lifecycle.
When we launch outbound campaigns, especially in B2B environments, we typically submit very tight briefs. These include clear parameters around industry, geography, buyer roles, company size, and, where relevant, technographic or operational signals.
Once the list is delivered, it doesn’t go straight into outreach. Our team runs it through our internal verification, warming, and segmentation processes to ensure deliverability and compliance with our sending standards. From there, the data is deployed into the appropriate outbound channel, whether that’s email platforms like Apollo, Instantly, or Smartlead, or a broader multi-channel setup.
For client campaigns, Coldlytics data is often paired with LinkedIn outreach. The list informs both email sequencing and LinkedIn targeting, allowing us to maintain consistent messaging and audience alignment across channels rather than treating each channel as a silo.
The most immediate benefit we noticed was operational. Campaigns that previously required significant internal research time could be launched far more quickly. In practice, this has reduced list-prep time by roughly 60–70% for many outbound initiatives.
That increased efficiency has a cumulative effect on our output. Because we’re no longer waiting on internal list building, outreach volume increases substantially, often by two to three times. At the same time, email bounce rates remain low, typically under 3% once lists pass through our verification and warming layers.
From a performance standpoint, tighter targeting has also translated into stronger engagement. Across multiple B2B campaigns, we’ve seen reply rates move into the 8–12% range, largely because we’re starting with more relevant prospects rather than relying on broad, loosely defined audiences.
Based on our experience, Coldlytics is particularly effective for teams that care about precision and speed. Agencies running multi-channel outbound campaigns benefit from predictably accurate data. Founders executing their first serious outbound push gain access to structured, usable data without needing an internal research team. And teams operating in complex or regulated niches (such as healthcare, legal, property, or strictly-defined SaaS ICPs) often find that scraping alone simply doesn’t deliver the accuracy they need.
In short, if your outbound strategy depends on relevance rather than brute-force volume, Coldlytics is a strong fit.
While outbound prospecting is the primary use case, we’ve also found Coldlytics useful in less conventional ways. We’ve used it to create lookalike batches based on our highest-performing leads from other sources, helping us expand into adjacent segments with confidence.
On occasion, we’ve even used it to support internal hiring initiatives, such as identifying relevant universities, academic programs, or partner organizations for specific recruitment funnels. Because the data is human-curated, it integrates cleanly with our internal enrichment tools, allowing us to layer on technographic, SEO, or performance signals after the fact.
What ultimately stands out is reliability.
At Pearl Lemon, we move quickly. We’re often running dozens of campaigns simultaneously across multiple industries. In that context, bad data is one of the fastest ways to burn time, budget, and momentum.
Coldlytics aligns well with how we operate. Turnaround times are predictable, so campaigns rarely bottleneck at the list-building stage. The human research component means we get context-specific data, not just whatever an algorithm happens to surface. When a new vertical needs to be tested, we can have a targeted list ready in days rather than weeks.
Just as importantly, it reduces back-and-forth between sales, operations, and research teams. When you’re spinning up campaigns at scale, that reduction in internal friction is meaningful.
For an agency where speed, accuracy, and iteration cycles directly affect outcomes, tools that remove friction quickly become foundational. Coldlytics has become one of those tools for us.
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