Marketing Analytics
How do you optimize LinkedIn ads?
To optimize LinkedIn ads, work methodically down the funnel starting with your offer and audience. Ensure your offer is compelling to your target audience, then create eye-catching ads that stand out from competitors. Aim for click-through rates of 0.8-1% (above the average 0.4%) and engagement rates above 0.7%. Maintain coherency between your ads and landing pages to provide a seamless user experience. Analyze landing page conversion rates (ideally 1-4%) and implement effective scheduling to increase show-up rates for consultations. Don't immediately blame marketing if leads aren't converting—examine each step of the funnel systematically to identify and fix bottlenecks in sequence.
Watch clip answer (19:07m)
John Stewart Marketing 🚀
00:00 - 19:07
What is LinkedIn's new AI tool Accelerate and how does it enhance LinkedIn ads?
LinkedIn's Accelerate is an AI-powered solution designed to streamline the LinkedIn ads creation process. It helps marketers make better decisions on targeting, creative elements, and budgeting by providing AI-assisted suggestions throughout the campaign setup process. The tool features an optimization phase of 10-14 days where AI dynamically adjusts targeting and budget allocation. According to LinkedIn, early users have seen impressive results - with Accelerate campaigns improving cost per action by up to 42% and being built 15% more efficiently compared to classic campaigns. One testimonial reported a three times increase in lead form completion rate and 66% cheaper cost per lead.
Watch clip answer (02:57m)
Raise Your Visibility Online
00:03 - 03:00
What are the different methods of LinkedIn Ads conversion tracking and their benefits?
LinkedIn Ads offers three main conversion tracking methods. Online conversion tracking uses cookies and third-party data to track website actions, forming the foundation that 90% of advertisers begin with. Offline conversion tracking connects your CRM data to LinkedIn through their conversion API, allowing you to track qualified leads and deal values, though limited to a 90-day window. The new Data Driven Attribution model provides a holistic view of performance across the customer journey, moving beyond just last-click attribution to show how campaigns contribute to conversions at different stages. Each method has complementary strengths for measuring advertising effectiveness.
Watch clip answer (18:26m)
Ben B2B
00:00 - 18:26
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.
Watch clip answer (00:53m)
B2Linked
03:40 - 04:33
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.
Watch clip answer (02:54m)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