Averages lie. Segments and cohorts tell the truth. Looking at average metrics is like checking the weather forecast for a whole country. Technically true, but totally useless. Your average CAC might look fine, but mobile users could be three times more expensive than desktop.

If you're running an #AdDriven #LeadGen business, I bet this sounds familiar. #GoogleAnalytics is great until you try to figure out what's really happening with your marketing. That's when things start looking like this meme. Sure, you could export all your GA data into

We dug through tons of data on how marketers actually handle analytics, added insights from our own 20 years in performance marketing, and turned a massive 401-page study into just 9 simple recommendations: 1/ Forget about automating reports. Manually pulling data into

Place your bets: how long will those #AdPerformance reports stay accurate enough to make the right decisions?

Here’s what Michael Nusinkis, Co-Founder of #BedScrunchie, said about working with #EllyAnalytics: "One of our biggest goals is to grow sales through our #Shopify store and rely less on #Amazon. But tracking performance across ad platforms, affiliates, and TV ads was a mess. We

The problem with marketing analytics isn’t just accuracy. It’s the time and effort it takes to read the reports and figure out what to do next. Ideally, there shouldn’t even be a report to read. The best interface is no interface — the insight just shows up when and where you

How do you know your ads are actually driving revenue, not just leads? Ekaterina Gudkova, Head of Marketing at JuicyScore, nailed it: “Elly Analytics lets us connect ad spend to real sales. We can see exactly how traffic from Google and LinkedIn ads turns into form submissions,

Marketers often complain about having to beg for budget and how ridiculous that is. And yeah, it’s frustrating when every request gets questioned, delayed, or downsized. But those budget conversations get a lot easier when you can prove real impact on revenue and profit. Not

Most #LeadGen businesses optimize for leads because that’s all the ad platforms let you track. But what if you could optimize for actual paying customers? That’s exactly what #EllyAnalytics helped Jon Margalit do at Happy Home Helpers. Here’s Jon’s testimonial: "Elly’s team

Building a dashboard is easy. Making the data inside it accurate is what really matters. That’s the difference between a nice-looking chart and a report you can actually trust to guide your decisions. And that’s where most tools fail. At #EllyAnalytics, we’ve done this over 100

Building your own analytics stack sounds good until you realize how much time, money, and headaches it actually costs. Careerist was building custom dashboards in #Tableau, pulling data from their own CRM. But switching to #EllyAnalytics gave them a faster setup, lower cost, and

Just because your business runs on leads doesn’t mean your reporting should stop at leads and CPL. We built #EllyAnalytics to help #LeadGen teams see what actually drives revenue, not just form fills. It connects the whole journey from ad click to customer, so you can finally

Before Elly, this client was drowning in data. Meta, Google, Pinterest, Bing, Klaviyo — each platform had its own report, and nothing lined up. Planning campaigns and analyzing performance took too much time. With Elly, everything is in one place. We integrated their ad

What a real AI business transformation looks like. Here’s how we’re doing it at #EllyAnalytics. 1. We rethought where our market is headed Building products is about to get insanely cheap with AI. That means the real competition is shifting to customer acquisition. The pace of

If you only look at CAC and LTV in aggregate, you’ll miss early warning signs and overlook opportunities to optimize and grow. You need to break it down. Here’s how we do it with #EllyAnalytics: ✅ Check fresh cohorts. Compare their CAC to previous cohorts. Look at revenue and

Hey Richard White, we have been using Fathom notetaker for 2 years (love it!). Now we need the basic API (MCP). Use case: Ask Cursor/Claude to get a recent call transcript and perform actions (save summary, create tasks, update project status, etc.). This is a deal breaker for us.

There are no “AI developers”. Just developers