Welcome! Today we're diving deep into one of Coldout's most powerful features: waterfalls. This is the secret weapon that top sales and marketing teams use to achieve 80-90% data coverage instead of the 40-50% you'd get from a single provider. Let's explore exactly how waterfalls work and how to use them effectively.
A waterfall is a sequential enrichment strategy that tries multiple data providers in order until it finds the information you need. Think of it like a series of backup plans—if the first option doesn't work, Coldout automatically tries the second, then the third, and so on, until it succeeds or runs out of options.
Here's why this matters: no single data provider has complete coverage. Hunter might have 50% of the email addresses you need, Apollo has 60%, and Snov.io has 45%. But here's the key—they don't all have the same 50%. There's overlap, but also unique data in each provider.
By using a waterfall, you tap into all of them sequentially, combining their strengths and maximizing your chances of finding what you need. Instead of settling for 50% coverage, you can achieve 85% or higher.
When you set up a waterfall in Coldout, you're creating a prioritized list of data providers. Coldout starts with provider number one. If that provider finds the data with high confidence, Coldout stops there and you're done. If it doesn't find anything or the confidence is low, Coldout automatically moves to provider two, then three, and continues until it succeeds.
The beauty is that this happens automatically and instantly. You're not manually checking multiple tools—Coldout does it all in the background, row by row, across your entire table.
Let's walk through creating an email waterfall step by step. In your Coldout table, click "Enrich data" and select "Find email" or look for the waterfall enrichment option.
You'll see a list of available email providers: Apollo, Hunter, Snov.io, Prospeo, Dropcontact, People Data Labs, and others. Now comes the strategic part—choosing the order.
Start with the provider that has the best combination of accuracy, coverage, and cost for your target market. If you're prospecting in the US tech industry, Apollo might be your best bet. If you're targeting European markets, maybe Dropcontact or Hunter performs better.
Add this as your first step in the waterfall.
Next, add your backup providers. Think about complementary strengths—if your first provider specializes in certain industries, choose a second provider that covers different niches.
Add three to five providers to your waterfall. More isn't always better—you want quality providers that genuinely add coverage, not redundant sources.
After running a waterfall, Coldout shows you exactly which provider found each piece of data. Review this performance data regularly.
If you notice that your second provider is finding most of the data and your first provider rarely succeeds, swap their order. Put the best performer first to save time and credits.
If a provider consistently returns low-quality or outdated data, remove it from your waterfall. Quality matters more than quantity.
Waterfalls do use credits—each provider Coldout checks costs credits. However, smart waterfall design with confidence thresholds actually saves money by stopping early when high-quality data is found.
Think of it as paying for results, not attempts. You're far more likely to find what you need, making each credit more valuable.
Here's a pro move: create different waterfalls for different segments. Build one waterfall optimized for US enterprise contacts, another for European SMB contacts, and another for APAC markets. Each uses providers that excel in those regions.
You can also create sequential waterfalls—first find the email, then use that email as input for a phone number waterfall that searches by email address.
Waterfalls are how you maximize data coverage in Coldout. By trying multiple providers sequentially with smart confidence thresholds, you achieve 80-90% enrichment rates instead of 40-50%. Set up email waterfalls, phone waterfalls, and LinkedIn waterfalls. Order providers strategically, monitor performance, and optimize based on results. This is how you turn incomplete data into comprehensive, actionable contact lists ready for outreach.