Linkdra is a LinkedIn prospecting platform that allows users to run automated searches to build target lists without even visiting LinkedIn. Expand your business network, run outreach campaigns across LinkedIn, Email (Google / Outlook). Take 5 mins a day to reach your ideal customers and build a strong lead pipeline. Linkdra is designed to generate leads that convert, rather than just running automation. Built-in AI engine automatically classifies leads by stages. Linkdra users routinely cut down search time from 3-4 hours to under 5 mins.
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.
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Based on our record, Looker should be more popular than LINKDRA. 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.
Not your recruiting CRM but can be very handy if you are on a budget. Sourcing through LinkedIn at scale and track them in CRM. Organise into lists and tag them so that you can easily find. All on LinkedIn and so you can escape from the email rut of no opens etc. Check out linkdra.com . Disclosure: I support the platform including one executive and tech recruiting company. So, kind of know the industry and think... Source: over 2 years ago
The LinkedIn search is simple and yet very effective even when you compare to paid LinkedIn tools like Recruiter or Sales Navigator. However, the pain is after you get the search results it still takes a lot of time to organise, message, track and run through the lead pipeline. I was doing that for a while and realised, I need a micro CRM that fills and tracks by itself. Ended up publishing linkdra.com. Source: over 2 years ago
Not the regular recruiting tech firm but we are shifting gears to go big on sourcing tech. Target sectors and levels are those where we can find people on LinkedIn. The difference in approach here is we are not going through LinkedIn. Instead crawling public pages to search and identify and then run campaigns to proactively reach out. Works great on the sales, lead generation side. Early trial with tech and sales... Source: over 2 years ago
This is where tools like Linkdra with deep search filters can help get much more mileage than usual blasting that most automation tools do. Source: about 3 years ago
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: about 1 year 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 / over 1 year ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 2 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 2 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 / over 2 years ago
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