LinkedIn Marketing
What is LinkedIn's most effective AI-based advertising feature?
LinkedIn's most effective AI-based advertising feature is Predictive Audiences. This feature works similarly to Facebook's lookalike audiences, finding individuals who behave like audiences you provide. When given a list of current and past customers, LinkedIn identifies people who exhibit similar behaviors and interests. AJ Wilcox, a LinkedIn ads expert, notes that Predictive Audiences consistently delivers higher engagement and conversion rates compared to seed lists. This AI-powered tool leverages Microsoft's substantial AI investments to help marketers create more targeted campaigns that resonate with potential customers who share characteristics with their existing customer base.
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B2Linked
03:40 - 04:33
How can I effectively scale my LinkedIn advertising campaigns?
To effectively scale LinkedIn ad campaigns, first separate your cold and retargeting audiences by excluding retargeting audiences from cold campaigns to ensure each targets the appropriate prospects. Identify top-performing segments based on industry, job title, or geography, then allocate more budget to these high-performers. Strategic budget optimization is crucial - focus spending on Tuesday through Thursday when LinkedIn traffic is highest, while potentially lowering bids on weekends. Remember LinkedIn can spend up to 50% more than your set budget on any given day. Finally, regularly refresh ad creatives as you scale, since higher spend accelerates ad fatigue, and utilize bulk actions functionality to efficiently manage multiple campaigns.
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Speedwork Social - LinkedIn Ads Agency
08:46 - 13:21
How did Phil generate significant pipeline and qualified leads using LinkedIn Ads?
Phil generated $1.2 million in pipeline and over 30 SQLs monthly through strategic LinkedIn Ads campaigns targeting major companies like Microsoft, Meta, and Amazon. The results have been remarkable, with initial pipeline value of $1.3 million expanding to $8.8 million in potential deals. The ROI has been exceptional - approximately $400,000 in forecasted revenue from just $30,000 in ad spend. Phil implemented a full-funnel approach, utilizing bottom funnel retargeting combined with content-driven lead nurturing to secure high-value meetings with enterprise clients.
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B2B Hero
00:00 - 00:34
Why should you turn off audience expansion in LinkedIn ads?
Audience expansion should be turned off because it allows LinkedIn to target people beyond your specifically defined audience parameters. While this feature helps LinkedIn deliver your full budget, it undermines one of LinkedIn's primary strengths - precision targeting. With audience expansion enabled, LinkedIn makes several hops outside your carefully crafted targeting criteria, potentially reaching users who aren't your intended audience. For advertisers who spend significant time defining their exact target audience, this defeats the purpose of LinkedIn's powerful specific targeting capabilities, which distinguish it from other platforms like Facebook or Google where reaching precise audiences is more challenging.
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Speedwork Social - LinkedIn Ads Agency
15:35 - 21:40
What are the different methods of tracking conversions in LinkedIn ads?
LinkedIn offers multiple approaches to conversion tracking. The basic method uses cookies and third-party data for online tracking, allowing marketers to track users from ad impressions through website conversions with a default 30-day attribution window. For more advanced needs, LinkedIn provides offline conversion tracking via their conversion API, which connects CRM data to ad performance. Additionally, LinkedIn has implemented a data-driven attribution model that goes beyond simple last-click attribution, offering a more holistic view of the customer journey across multiple campaigns and touchpoints.
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Ben B2B
00:00 - 02:54
What are the main targeting options available in LinkedIn Ads?
LinkedIn Ads offers several targeting options including location (countries, states, cities, metropolitan areas), company (name, size, industry, revenue, growth rate), job experience (titles, functions, seniority, skills), education (degrees, fields of study, schools), interests and traits, demographics (age, gender), and advanced options like predictive and match audiences. Match audiences allow retargeting based on website visits, ad engagement, and uploaded contact lists. For optimal results, use permanent location targeting and keep audience expansion turned off to maintain precise targeting.
Watch clip answer (09:24m)
Mitchell Gould
00:01 - 09:25