Produktmanager jobs in Germany

In the earliest rock and roll styles of the late 1940s and early 1950s, either the piano or saxophone was often the lead instrument, but these were generally replaced or supplemented by guitar in the middle to late 1950s. The beat is essentially a blues rhythm with an accentuated backbeat, the latter almost always provided by a snare drum. Classic rock and roll is usually played with one or two electric guitars (one lead, one rhythm), a double bass or string bass or (after the mid-1950s) an electric bass guitar, and a drum kit.

Beyond simply a musical style, rock and roll, as seen in movies and on television, influenced lifestyles, fashion, attitudes, and language. In addition, rock and roll may have contributed to the civil rights movement because both African-American and white American teens enjoyed the music. It went on to spawn various genres, often without the initially characteristic backbeat, that are now more commonly called simply "rock music" or "rock".

• Develop, deploy, analyze, and provide comprehensive reporting for paid channels and campaigns across PPC/PLA, paid social, programmatic display, native, and exploratory channels.
• Coordinate with BI, content, copy, creative, brand marketing, and SEO teams to ensure acquisition campaigns align appropriately with other public-facing campaigns and insightful tracking/reporting is available.
• Manage high-scale budgets across various platforms, adhering to strict ROI disciplines.
• A/B test targeting, content, copy, and creative strategies to continually improve performance and ROAS.
• Actively manage relationships with account managers of various DR platforms to ensure campaign strategies and tools utilized are current.

• Minimum of 3-5 years of experience working on direct response, B2C campaigns with seven or eight-figure annual budgets.
• Expertise in utilizing Google Analytics, Tableau (or similar), and other online advertising, competitive research, and analytics tools.
• Strong skills in Excel, with the ability to aggregate and pivot data to derive data-driven decisions.
• Excellent communication and presentation skills (PPT or Keynote).