By combining PMMI's verified audience data with LinkedIn's precision ad targeting, this campaign delivers measurable engagement and drives high-intent traffic straight to your designated URL—all within a concise 14-day campaign window.
Choose your custom target audience from the PMMI database by picking from verified segments such as Industry, Job Title, Self-Reported Buying Interest, Existing Plant Operations, and more.
See the full report of possible audience selections on the PMMI Audience Network Dashboard.
When choosing your target audience, an audience size of at least 10k is recommended for optimal campaign performance.
Advertisers looking to build awareness and drive traffic to a specific URL.
Three Mundo EXPO PACK LinkedIn campaigns per week.
For up to date inventory, please use the tools below:
Common objection: Can't we run our own LinkedIn ad campaigns?
Absolutely—you can run your own LinkedIn campaigns. The difference is that LinkedIn isn’t a specialist in the packaging and processing space, so you can’t be certain you’re reaching verified buyers in the industry. PMMI Media Group provides confidence and precision through our unparalleled database of packaging and processing professionals. We also layer in proprietary data that no one else (including LinkedIn) has access to—such as equipment buying intent gathered through PACK EXPO registration—so your ads reach actual industry buyers, not just broad professional profiles.
While you can upload your own verified lists into LinkedIn, that only targets people you already know and doesn’t help expand your reach. PMG enables you to connect with qualified industry prospects you haven’t met yet, ensuring deeper accuracy and stronger confidence that your ads are reaching the right audience and building awareness among true packaging and processing decision-makers.
LinkedIn vs LinkedIn during Show Season vs LinkedIn PAN for PACK EXPO vs LinkedIn ABBIC
Q. Why is inventory limited for PMMI Audience Network products?
A. Here is a great presentation on Joan regarding this topic. In summary, inventory for LinkedIn and Facebook is limited because they serve ads through a per-impression auction where ads targeting the same audience and format compete based on bid and relevance. Competition increases with the more ads targeting the same audience. When competition increases—especially if we run multiple PMG campaigns to the same individuals—CPMs rise, and with fixed budgets that means fewer impressions and weaker performance across campaigns. To prevent self-competition and protect delivery, we cap inventory based on testing that balances maximum available reach with stable campaign results.
Q. Why are the pageviews that are reported by Google Analytics not matching up with the number of clicks reported by LinkedIn?
A. Site attribution and traffic reporting are not perfect, and discrepancies between platforms are expected. In fact, it’s typical to see LinkedIn report 15% to 40% more clicks than GA4 sessions. This gap stems from several factors, including differences in how clicks and sessions are measured, tracking delays, privacy filters, and non-human activity. Google has published multiple explanations for these mismatches, and LinkedIn itself acknowledges the presence of invalid traffic through its HUMANverification partnership.
Q. Can you give us a brief overview on our process for eliminating bots and non-human impressions?
A. LinkedIn/Facebook are in control over the reporting and eliminating or bots/non-human impressions. We do not know what their policy is and cannot provide any information regarding those policies. What we can control and comment on is that we upload our audience to LinkedIn. We do not use the find look alike audience expansion feature that LinkedIn has, so it is indeed just our known first party audience.
Q. How does LinkedIn optimization work with a PMG audience?
A. When we create a social campaign, we provide LinkedIn with the list of our selected audience and tell LinkedIn that this is who we'd like to reach with this ad. LinkedIn can identify the people on our list, which is where the "match" occurs. These are names both within our system and LinkedIn's. Due to this, LinkedIn has action data on these individuals from our list—whether an individual watches video ads regularly, clicks often, or is more likely to comment. When we hand our audience list over to LinkedIn, we tell LinkedIn the type of person we want to reach—a clicker, a watcher, or a commenter. They then serve the ad to individuals on the list we provided who have the highest probability of completing that action. LinkedIn only allows us to optimize for one action (clicking, watching, or commenting) for a campaign.
Q. Why do we optimize videos for views and posts for clicks?
A. For video campaigns, we optimize for views because the goal is to get end-users to watch their video. This is their opportunity to get in front of our audience for an extended period of time and share a detailed message about why they should choose the advertiser's solution. When they provide a video we want to show it to people that are more likely to watch videos, so they have the opportunity to tell their full story. For static campaigns, it's Clicks, impressions, and reach because that product's goal is to get people to click.
Q. Can we give leads for Mundo campaigns?
A. Even though we cannot give lead information, commenters have been very engaged (such as “give me details” or “more information”) and advertisers can reach out to those commenters on their own through LinkedIn.
$1,400 per MUNDO EXPO PACK LinkedIn campaign
Notes on hard cost: The reason that PW, PFW and Mundo hard costs are slightly less than OEM and HCP hard costs (even though all brands are priced the same) is because PW, PFW and Mundo campaigns are likely to start with bigger lists and we want to make sure that we maintain performance with HCP and OEM which will have list overlap with PW, PFW and Mundo lists. When we’re bidding for names we want to give HCP and OEM a competitive advantage over PW, PFW, and Mundo because of their smaller list sizes.
