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    <title>Performance Marketing Executive - Gleeson Recruitment Group RSS Feed</title>
    <link>https://jobs.co.uk/job/performance-marketing-executive-gleeson-recruitment-group--bea2027a-6ba8-484a-aaee-f76dfed27255</link>
    <description>RSS feed for Performance Marketing Executive at Gleeson Recruitment Group.</description>
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    <lastBuildDate>Tue, 28 Jul 2026 18:36:41 GMT</lastBuildDate>
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      <title>Performance Marketing Executive - Gleeson Recruitment Group</title>
      <link>https://jobs.co.uk/job/performance-marketing-executive-gleeson-recruitment-group--bea2027a-6ba8-484a-aaee-f76dfed27255</link>
      <guid>https://jobs.co.uk/job/performance-marketing-executive-gleeson-recruitment-group--bea2027a-6ba8-484a-aaee-f76dfed27255</guid>
      <pubDate>Mon, 27 Jul 2026 23:00:00 GMT</pubDate>
      <description>Location: Birmingham | Salary: &amp;pound;32000 - &amp;pound;35000/annum | Type: Permanent | Performance Marketing Executive    Up to -35,000 | Birmingham | Hybrid (3 days office / 2 days home)   Join a growing ecommerce business where you''ll take ownership of performance marketing campaigns across multiple digital channels. Working closely with the Head of Digital Marketing, you''ll optimise campaigns, analyse performance and drive customer acquisition across PPC, Paid Social, SEO and Affiliate Marketing.   What you''ll be doing    Managing and optimising PPC, Paid Social, SEO and Affiliate campaigns  Running A/B tests to improve performance  Monitoring ROAS, conversion rates and campaign performance  Using GA4 and reporting tools to provide insights and recommendations  Working with external agencies to maximise campaign performance  Identifying new growth opportunities through data and competitor analysis    What we''re looking for    Hands-on experience across PPC and Paid Social (SEO and Affiliates desirable)  Strong analytical skills with experience using GA4  Ecommerce experience is essential  A commercial mindset with a passion for improving campaign performance  Someone who enjoys digging into data and can explain the  why  behind optimisation decisions    Salary...</description>
      <category>Permanent</category>
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