Looker
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Qlik
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Windsor.ai
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
PipeValue turns your CRM into smarter ad spend — so the same budget brings in more revenue.
Google and Meta optimize for whoever fills a form the cheapest. But a €50k deal and a tire-kicker look identical to the algorithm. PipeValue fixes that: it reads the real € value of every lead from your CRM and streams it back to Google, Meta and LinkedIn in real time, so their bidding optimizes for pipeline instead of clicks.
How it works
Why teams use it
Built for performance marketers, growth teams and lead-gen agencies running paid acquisition on top of HubSpot, Pipedrive and other CRMs.
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PipeValue's answer:
PipeValue closes the loop between your CRM and your ad platforms. It reads the real € value of every lead — from who actually converts and how much they're worth — and streams it back to Google, Meta and LinkedIn in real time. So instead of optimizing for the cheapest form-fills, your campaigns learn to bid on the leads that generate revenue. No data team, no server-side pipeline to maintain: connect your CRM (or drop a CSV) and go live in minutes.
PipeValue's answer:
PipeValue was born from a simple frustration: ad platforms optimize for whoever fills a form the cheapest, while the leads that actually build a business get ignored. Teams knew their best customers were hiding in their CRM, but feeding that signal back to the platforms required a data-engineering project most couldn't afford. PipeValue turns value-based bidding into a one-click product — connect, score, send, prove the lift — so any team can make its ad budget chase revenue, not clicks.
PipeValue's answer:
Most attribution tools stop at reporting — they tell you what happened. PipeValue acts on it: it sends real revenue values back to the ad platforms so bidding improves automatically, and it proves the incremental lift so you can see the impact. It's built for speed (one-click OAuth, AI field mapping, no data team), runs across Google, Meta and LinkedIn from a single value model, and keeps data secure with an encrypted token vault and EU data residency. Same ad budget, more revenue.
PipeValue's answer:
Performance marketers, growth teams and lead-gen agencies running paid acquisition (Google, Meta, LinkedIn) on top of a CRM like HubSpot or Pipedrive — especially where lead quality varies a lot and a €50k deal shouldn't look the same as a tire-kicker to the algorithm. Agencies use it to run value-based bidding across many client accounts from one place.
PipeValue's answer:
PipeValue runs on modern, secure cloud infrastructure with EU data residency and a per-tenant encrypted token vault. It integrates through official server-side conversion APIs — Google Enhanced Conversions / Data Manager, Meta Conversions API and LinkedIn Conversions API — and connects to CRMs via OAuth. The value engine scores every lead in real time from your closed-won outcomes.
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / almost 5 years ago
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