Case Study: Successful candidate search with Talentigo

Sales expert with cloud expertise in 3 hours

How HR factory GmbH helped a client reach relevant sales candidates with cloud expertise faster with Talentigo – with less manual effort in candidate selection.

Talentigo Sales Manager analysis
Recruiting challenge

The challenge

HR factory GmbH was searching for a Sales Manager with an expert mindset and cloud expertise on behalf of a client.

The requirements profile was complex – actively searching candidates were scarce.

Few active applicants

The market for qualified sales professionals with cloud expertise is highly competitive. Passive candidates must be actively approached.

Sales + tech combination is rare

The intersection of sales and cloud technology requires specialized expertise that few candidates bring.

Business unit expects speed & quality

The sales team needed reinforcement quickly to meet growth targets. Time was a critical factor.

Manual sourcing is time-consuming and unclear

Traditional searches via LinkedIn and job boards were too time-consuming and led to unstructured results.

Approach with Talentigo

4 clear steps from the searchable profile market to the right candidate selection

1

Criteria analysis

Analysis with 6 top criteria for Sales Managers with cloud expertise.

Cloud expertise
Sales experience
Expert mindset
Technical understanding
German language skills
Consulting experience
2

AI scoring & evaluation

Automatic evaluation with transparent reasoning per criterion.

Sarah M.(5 years cloud sales, AWS certified)
9.2/10
Michael K.(Senior Sales Manager, Azure expertise)
8.8/10
Lisa T.(Expert experience, GCP knowledge)
8.5/10

Illustrative scoring example to show how the evaluation principle works.

3

Selection & favoriting

Recruiters select the best candidates and favorite them for the next steps.

12 favorites selected
Candidate 1
Candidate 2
Candidate 3
Candidate 4
Candidate 5
Candidate 6
Candidate 7
+5
Ready for the next phase: outreach & interviews

Profile images in this presentation are AI-generated.

4

Personalized outreach

All 12 favorites were contacted with highly personalized messages based on AI analysis and individual profile characteristics.

Inside the Talentigo platform

This is what using Talentigo in the recruiting process looks like in practice

Boolean search

Boolean search in Talentigo

Precise search strings for cloud sales profiles

Criteria-based analysis

Criteria analysis in Talentigo

AI-based evaluation against defined criteria

Evaluation & scoring

Scoring system in Talentigo

Automatic prioritization of the best candidates

Results & impact

From the searchable profile market to the right candidate selection – measurably faster and with less manual effort. Talentigo speeds up identifying relevant candidates.

< 3 hours
Active effort
~30 million
Searchable profile universe (LinkedIn/XING DE)
~1,500
Profiles AI-analyzed (main analysis)
12
Top favorites prioritized

Talentigo searches the available market using AI-generated search terms, pre-filters relevant matches, and then analyzes the best-fitting profiles for suitability.

Instead of manually reviewing more than 1,500 profiles...

...a significantly more relevant candidate pool was identified in just a few hours – with transparent AI logic.

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What our customers say

From practice: HR factory GmbH in active sourcing for client projects

“Talentigo is a tremendous help in our recruiting process. For our clients, we can now consider and analyze a much larger number of relevant profiles in detail than was previously possible.”
Sophia Baumeister
Sophia Baumeister
Talent Acquisition Partner
HR factory GmbH

Conclusion

Talentigo does not replace responses – but it helps recruiters identify a better candidate pool faster. In a market where the best candidates are not actively looking, Talentigo delivers a data-driven, transparent, and scalable solution for qualified active sourcing.