Short answer up front: these answer different questions, the same way Fibbler does. Dreamdata maps every touchpoint across your B2B buying cycle and proves which ones actually drove revenue. Yirla watches the campaigns you're running right now and tells you what to fix, plus what your competitors are doing. Dreamdata explains what already happened, in more depth than almost anyone. Yirla tells you what to do next.
The one-line version
- Dreamdata is a B2B attribution and customer journey platform. It maps every touchpoint across your buying cycle, ties it to revenue, and can activate audiences and sync conversions back to your ad platforms.
- Yirla is an AI ads analyst. It watches your live campaigns across seven channels, tells you what's working and what's wasting spend, and shows you what competitors are running.
Side by side
| Yirla | Dreamdata | |
|---|---|---|
| Category | Execution + competitive intelligence | Attribution + customer journey analytics |
| Core question it answers | What should I change right now? | Which touchpoints actually drove this deal? |
| Channels covered | LinkedIn, Google, Meta, YouTube, Instagram, Reddit, TikTok | Analytics layer, integrates with LinkedIn Ads and others |
| Competitor ad monitoring | Yes, built in (~20M advertisers tracked) | Not a published feature |
| Live campaign recommendations | Yes. Continuous monitoring with AI-driven recommendations | Guidance from journey data. Its AI agent answers what to do next, but it isn't live campaign monitoring |
| Multi-touch attribution | Not a core focus | Yes, core feature. 66M+ sessions, 3.5M+ customer journeys tracked |
| Intent signals | Not a core focus | Yes, AI-powered |
| AI assistant / MCP | Yes. Ask Yirla, plus a custom connector for Claude | Yes. Dreamdata AI Analytics Agent and an MCP server, built on its attribution data |
| Starting price | $25/month per seat | Free plan ($0). Advanced plan is custom priced |
Where Dreamdata is genuinely good
Dreamdata operates at real scale: 66M+ sessions and 3.5M+ customer journeys aggregated, and case studies like ECI tracking 80+ products across 7 business units. It maps the entire buying cycle, not just paid touchpoints, and its data backs the point that most of the customer journey happens outside the sales pipeline, where most attribution tools can't see it. If the question your CFO keeps asking is which marketing actually drove the revenue, across every channel and touch, not just the last ad someone clicked, Dreamdata is built for exactly that question.
Dreamdata has an AI agent now too. The difference is the data underneath it.
Dreamdata AI is a real change from the dashboard-only product Dreamdata used to be. Its Analytics Agent answers questions in plain English and tells you where to invest next, and there's an MCP server to bring that data into the LLM you already use. That's a genuine overlap with Yirla, and it's worth saying so plainly.
The difference is what the agent is standing on. Dreamdata's answers come from journey and attribution data: what touched the deal, over months. Its optimization guidance follows from that. Yirla's answers come from the live campaigns themselves: what's fatigued today, what's wasting spend this week, and what competitors launched on Monday. One is the history of the deal. The other is the state of the campaign. Teams feel the difference in the questions each one can answer.
Where Yirla is different
Dreamdata tells you what already worked. Yirla tells you what to do next.
- It watches campaigns while they're running, not after enough data accumulates to build an attribution model, and flags what's fatigued or wasting spend today.
- It shows you what competitors are running. Not a published feature in Dreamdata's product.
- You don't need a mature attribution setup to get value. Dreamdata's insights compound as your data volume grows. Yirla works from day one off the campaigns you already have running.
- Its recommendations are about the campaign itself: creative, budgets, audiences. Dreamdata's guidance starts from the journey, which is a different starting point for a different decision.
Which one do you actually need
- Pick Dreamdata if your gap is proving which marketing touchpoints, across the whole buying journey, actually drove closed revenue, and you need that story for leadership or finance.
- Pick Yirla if your gap is knowing what to fix in the campaigns running today, and staying ahead of what competitors are testing.
- Use both. Most mature demand gen teams eventually want both the full-funnel attribution story and a live layer telling them what to change right now. They don't conflict.
FAQ
Is Dreamdata a Yirla alternative?
Not really. Dreamdata proves what already worked across the whole customer journey. Yirla tells you what to do with the campaigns running today. Different questions, both worth answering.
Does Yirla do multi-touch attribution?
No, and it's not trying to. Yirla's execution and competitive intelligence layer sits upstream of the full attribution question. If proving revenue influence across the entire buying journey is your primary need, that's Dreamdata's job.
Can I use Yirla and Dreamdata together?
Yes. Nothing about either conflicts with the other. Dreamdata proves what worked over time; Yirla tells you what to change right now.
What does Yirla cost?
$25/month per seat, after a 14-day free trial. No credit card required to start.
What does Dreamdata cost?
Dreamdata publishes a free plan at $0 (5 seats, 2 months of history). Its Advanced plan is custom priced, with a guided free trial.
Try Yirla free
Proving what already worked takes time and data. Yirla tells you what to fix today, live, and shows you what your competitors are running too.
No credit card. No automated changes to your campaigns. You approve every move.