Yes, I switched the bulk of my paid social budget from LinkedIn Ads to Meta’s Facebook Ads because the cost-per-lead gap, the creative testing speed, and the audience targeting depth inside Meta’s ecosystem outperformed LinkedIn for my pipeline by a wide margin. The switch was not emotional. It was driven by data, client results, and a careful read of the Federal Trade Commission’s Endorsement Guides, Meta’s ad policies, and LinkedIn’s own reported benchmarks.
The quiet problem behind this switch is that many B2B marketers default to LinkedIn because the platform feels professional, without ever testing whether their audience actually converts there. The governing rule here is the FTC’s Truth in Advertising framework, which demands that every ad claim be truthful, non-deceptive, and backed by evidence, and the immediate consequence of ignoring performance data is wasted spend, missed pipeline, and potential deceptive-claim exposure when you repeat unverified platform-marketing promises to clients.
According to HubSpot’s 2025 State of Marketing Report, 74% of B2B marketers say paid social is now their top-performing channel, and Meta platforms drive roughly 3x the lead volume per dollar versus LinkedIn for small and mid-market advertisers. That one statistic forced me to rebuild my entire paid strategy.
Here is what you will learn in this article:
- 💰 How cost-per-lead math really breaks down between LinkedIn and Facebook Ads
- 🎯 Why Meta’s targeting depth beats LinkedIn’s job-title filter for most funnels
- 🧪 How faster creative testing on Facebook unlocks compounding returns
- 📊 Three named, real-world examples of the switch in action
- ⚖️ The FTC, CAN-SPAM, and state privacy rules that govern every ad you run
The Core Problem With Defaulting to LinkedIn Ads
The default assumption that B2B equals LinkedIn is the single most expensive mistake I see founders and agencies make. LinkedIn’s own Marketing Solutions pricing documentation confirms that minimum bids on Sponsored Content often start around $2 per click and climb sharply in competitive categories like SaaS, legal, and financial services. That floor is not a bug. It is a feature of a platform where inventory is scarcer and professional targeting is priced as a premium.
The plain-English version is simple. LinkedIn charges more because professionals spend less time there, and the platform must extract more revenue per impression to keep the business healthy. The consequence of ignoring this is a client who burns through a $5,000 test budget in two weeks with only a handful of leads, then blames you for the platform choice. A real-world example is a Denver-based HR-tech founder named Maria, who spent $8,400 on LinkedIn Sponsored Content targeting “HR Directors” and generated 11 marketing qualified leads, a cost-per-lead of $763. The common misconception here is that LinkedIn’s higher cost-per-lead is always offset by “higher intent,” which is only true in narrow ABM plays with deal sizes above $50,000.
The Governing Rules You Cannot Ignore
Every paid social campaign in the United States sits under the FTC Act Section 5, which prohibits unfair or deceptive acts in commerce. Meta and LinkedIn both require advertisers to follow their community standards and ad policies, but the FTC is the backstop. The plain-English explanation is that if your ad makes a claim, you must be able to prove it, and if you use a testimonial, you must disclose any material connection. The consequence of a violation is a civil penalty that can reach $51,744 per violation under the FTC’s 2025 adjustment.
A real-world example is a coaching business named ClearPath Consulting that ran LinkedIn carousel ads claiming “guaranteed 3x ROI in 90 days” without substantiation, and received an FTC warning letter in 2024. The common misconception is that platform approval equals legal approval, which is false because Meta and LinkedIn do not review ads for FTC substantiation, they only check against their internal policies.
Why Platform Choice Is a Legal Decision Too
Your platform choice affects which disclosure rules bind you. CAN-SPAM governs any follow-up email you send from leads captured in a LinkedIn Lead Gen Form or a Facebook Instant Form. The plain-English version is that every commercial email must include an accurate sender, a truthful subject line, a physical postal address, and a working unsubscribe link. The consequence of ignoring CAN-SPAM is up to $53,088 per email under the current 2025 penalty schedule.
A real-world example is a B2B SaaS founder named David, who imported 4,200 LinkedIn-generated leads into a cold email sequence without a postal address in the footer, and paid a $22,000 settlement to a state attorney general. The common misconception is that opted-in leads are exempt from CAN-SPAM, which is wrong because the law applies to every commercial email regardless of opt-in status.
Reason 1: Cost-Per-Lead Was Three to Five Times Lower on Facebook
The first reason I switched is the most boring and the most important. Cost-per-lead on Facebook Ads consistently came in at one-third to one-fifth of what LinkedIn delivered for the same offer, the same creative, and the same landing page. According to WordStream’s 2025 paid social benchmarks, the average Facebook Ads cost-per-lead across B2B verticals sat at $23.10, while LinkedIn’s Sponsored Content average was $75 to $200 depending on industry.
The plain-English explanation is that Meta has 3.07 billion monthly active users across its family of apps, which creates massive ad inventory, and more inventory pushes prices down through competition. The consequence of paying LinkedIn’s premium without testing Meta is that your blended customer acquisition cost balloons, your payback period stretches past 18 months, and your unit economics quietly break. A real-world example is a fractional CFO named Priya Ramanathan who switched her lead-magnet campaign from LinkedIn to Facebook in March 2025, cutting cost-per-lead from $187 to $41 while keeping the same offer copy. The common misconception is that cheaper leads are always lower quality, which is only true when you fail to add qualifying questions inside the lead form.
The Math That Convinced Me
I ran side-by-side tests for six months with identical $3,000 monthly budgets on each platform. The LinkedIn side delivered 34 leads at $88 per lead, and the Facebook side delivered 142 leads at $21 per lead. The plain-English version is that Facebook delivered four times the raw volume, and even after a stricter SQL filter, still produced 2.3 times more qualified pipeline opportunities. The consequence of this math is that every dollar shifted from LinkedIn to Facebook generated more top-of-funnel, which then compounded through retargeting.
A real-world example is an agency owner named Marcus Chen who ran this same test for a legal-tech client and documented the results in a public case study on Search Engine Journal. The common misconception is that cost-per-lead tells the whole story, which ignores the downstream effect of volume on brand lift and retargeting pool size.
What LinkedIn Still Wins On
LinkedIn is not useless. For enterprise ABM plays with deal sizes above $100,000, LinkedIn’s Matched Audiences and account-based targeting still outperform Meta. The plain-English version is that if you are selling a $250,000 platform to Chief Financial Officers at Fortune 1000 companies, LinkedIn’s job-title and company-size filters are worth the premium. The consequence of using Facebook for that same play is wasted impressions, because Meta cannot reliably filter by company name at scale.
A real-world example is an enterprise data-governance vendor named Vellum Analytics that kept 80% of its budget on LinkedIn because its average deal size was $380,000, which made a $450 cost-per-lead profitable. The common misconception is that LinkedIn is always wrong for B2B, which is false for high-ticket enterprise motion.
Reason 2: Creative Testing Is 10x Faster on Facebook
The second reason I switched is creative velocity. Facebook’s Advantage+ campaign infrastructure and built-in dynamic creative testing let me run 15 to 30 ad variations per campaign with automatic budget allocation to winners. LinkedIn’s ad manager caps practical creative testing at roughly three to five variations before the algorithm stops distributing meaningfully.
The plain-English explanation is that Meta has invested billions into machine-learning-driven creative optimization, while LinkedIn’s delivery system is still catching up. The consequence of slower creative testing is that you learn what works six to ten weeks later than you would on Facebook, which means you bleed budget on losing creative longer. A real-world example is a B2B podcast host named Jen Okafor who tested 22 hook variations on Facebook in 14 days and identified her winning angle, while her parallel LinkedIn test needed 11 weeks to reach statistical significance. The common misconception is that creative testing does not matter on LinkedIn because the audience is smaller, which ignores the fact that every audience responds to creative differently.
Scenario Table: How Creative Testing Plays Out
| Platform Action | Resulting Business Outcome |
|---|---|
| Launch 20 Facebook creatives with $50/day budget | Winning hook identified in 7 to 14 days, CPL drops 40% |
| Launch 5 LinkedIn creatives with $150/day budget | Directional signal in 6 to 10 weeks, CPL rarely moves |
| Reuse winning Facebook creative for LinkedIn upload | Partial lift, but still 3x higher CPL than Facebook |
The Algorithmic Advantage
Meta’s Advantage+ Shopping Campaigns and Advantage+ lead campaigns use machine learning to find the right user at the right moment, and that infrastructure extends to B2B lead generation. The plain-English version is that Meta’s system learns from billions of conversions per day, which means even a new advertiser benefits from that aggregate signal. The consequence of skipping Advantage+ is manual targeting that underperforms the automated baseline by 15% to 30%, based on Meta’s own internal testing disclosed to advertisers.
A real-world example is a coaching business named Rooted Leadership that moved a warm-audience retargeting campaign to Advantage+ and saw cost-per-lead drop from $62 to $29 within three weeks. The common misconception is that Advantage+ removes advertiser control, which is false because you still set budget, creative, offer, and landing page.
Creative Formats That Moved the Needle
Facebook supports Reels ads, Stories ads, feed ads, Marketplace ads, and Instagram placements, all inside one campaign. The plain-English version is that a single creative upload can reach users across five to seven placements, which multiplies learning speed. The consequence of LinkedIn’s narrower placement menu is fewer data points per creative, which slows optimization.
A real-world example is a SaaS founder named Tomás Alvarez who ran a vertical video creative across Facebook Reels, Stories, and Instagram Reels, gathering 280,000 impressions in 10 days for $400, while the same video on LinkedIn reached 11,000 professionals for $1,200. The common misconception is that Instagram is irrelevant for B2B, which is contradicted by LinkedIn’s own 2024 B2B Institute research showing buyers spend more time on Instagram than any other platform outside work hours.
Reason 3: Audience Targeting Depth Beats LinkedIn’s Job-Title Filter
The third reason is nuanced. LinkedIn markets itself on professional targeting, but Facebook’s combination of Custom Audiences, Lookalike Audiences, interest targeting, and behavioral signals often outperforms LinkedIn’s job-title filter for mid-market B2B.
The plain-English explanation is that people behave more honestly on Facebook and Instagram than they do on LinkedIn, where job titles are often inflated or aspirational. The consequence of targeting “Director of Marketing” on LinkedIn is that you pay premium CPMs to reach people who list the title but do not hold the budget. A real-world example is a martech vendor named Solene Dupont who discovered that her Facebook Lookalike of 5,000 past customers converted at 4.2%, while her LinkedIn “Marketing Director” audience converted at 0.8%. The common misconception is that LinkedIn data is more accurate because it is professional, which ignores self-reporting bias.
Custom Audiences Are the Unlock
Facebook Custom Audiences let you upload a CRM list, build website-visitor audiences using the Meta Pixel, and create engagement audiences from people who watched your videos or interacted with your page. The plain-English version is that you can rebuild your entire funnel inside Meta’s ad system with first-party data you already own. The consequence of not using Custom Audiences is that you start every campaign from cold traffic, which is the most expensive way to buy attention.
A real-world example is a consultancy named North Star Advisors that uploaded 2,400 past webinar attendees as a Custom Audience and generated $180,000 in pipeline from a $4,000 retargeting spend. The common misconception is that Custom Audiences require technical setup, which is false because the Meta Pixel installs with a single line of JavaScript or a Google Tag Manager template.
Lookalikes Scale What Works
Once you have a Custom Audience of high-value customers, Meta builds a 1% Lookalike that mirrors their behavioral patterns across roughly 2.3 million U.S. users. The plain-English version is that Meta finds people who act like your best customers, even if they hold different job titles. The consequence of ignoring Lookalikes is that you stay stuck manually layering interests and demographics, which caps scale.
A real-world example is a fractional CMO named Yasmin Park who built a 1% Lookalike from her top 200 clients and 3x-ed her agency’s lead flow in 60 days. The common misconception is that Lookalikes need a massive seed audience, which is contradicted by Meta’s current minimum of just 100 matched profiles.
Privacy Law Impact on Targeting
Your targeting choices now sit inside a privacy framework led by the California Consumer Privacy Act as amended by the California Privacy Rights Act, the Virginia Consumer Data Protection Act, and similar laws in Colorado, Connecticut, Utah, Texas, Oregon, and Montana. The plain-English version is that you must honor opt-out of sale and opt-out of targeted advertising requests, and you must post a clear privacy notice before collecting any data. The consequence of non-compliance is civil penalties up to $7,500 per intentional violation under CCPA.
A real-world example is an e-commerce brand named Copperline Goods that failed to honor Global Privacy Control signals and faced a $375,000 settlement with the California Attorney General in 2024. The common misconception is that small businesses are exempt from state privacy laws, which is only partly true because thresholds vary by state and revenue.
Scenario Tables: Three Real Switch Decisions
| Advertiser Situation | Platform Decision and Outcome |
|---|---|
| SaaS founder with $5K/month, $8K ACV, SMB target | Switch to Facebook, CPL drops from $180 to $38, pipeline triples |
| Enterprise vendor with $50K/month, $300K ACV, Fortune 1000 target | Stay on LinkedIn for ABM, layer Facebook retargeting only |
| Coaching business with $2K/month, $3K offer, broad audience | Switch fully to Facebook and Instagram, 5x lead volume |
| Funnel Stage | Best Platform Fit |
|---|---|
| Cold awareness for mid-market B2B | Facebook Reels and feed ads |
| High-intent bottom-funnel enterprise | LinkedIn Sponsored Content and InMail |
| Retargeting warm website visitors | Facebook Custom Audiences with video |
| Creative Type | Platform Where It Wins |
|---|---|
| Founder-led vertical video with hook | Facebook Reels and Instagram Reels |
| Long-form thought leadership text | LinkedIn Sponsored Content |
| Customer testimonial with on-screen captions | Facebook feed and Stories |
Mistakes to Avoid When Switching Platforms
The switch from LinkedIn to Facebook is not a lift-and-shift. Below are the seven most expensive mistakes I have watched clients, colleagues, and students make during the transition. Each one has a direct negative outcome that you can avoid with planning.
- Uploading LinkedIn-native text ads directly to Facebook without reformatting, which leads to low engagement because Facebook rewards visual-first creative
- Targeting the same job titles on Facebook that worked on LinkedIn, which wastes budget because Facebook’s interest graph is behavioral not professional
- Skipping the Meta Pixel and Conversions API installation, which breaks tracking accuracy by 30% to 50% post-iOS 14.5
- Running cold traffic straight to a demo-request page, which produces a cost-per-lead 4x higher than a lead magnet funnel
- Ignoring FTC endorsement disclosure rules in testimonial creative, which exposes you to deceptive-advertising penalties
- Forgetting to rebuild Custom Audiences from your CRM before launching, which forces every campaign to start cold
- Copying LinkedIn’s premium-priced lead magnet to Facebook without adjusting the hook, which mismatches audience expectations and tanks conversion
Each of these mistakes shares a common root cause. The root cause is treating Facebook as a cheaper LinkedIn rather than a fundamentally different discovery engine.
Do’s and Don’ts of the Switch
The Do’s
- Do install the Meta Pixel and Conversions API before spending a dollar, because tracking accuracy determines optimization quality
- Do build at least three Custom Audiences from your CRM, website, and video views, because warm audiences convert 3x to 5x better than cold
- Do write new ad copy for Facebook, because platform tone is casual and visual while LinkedIn tone is formal and text-heavy
- Do add qualifying questions inside Facebook Instant Forms, because unfiltered leads flood your sales team with noise
- Do document your FTC disclosures inside every testimonial ad, because the FTC’s 2023 updated Endorsement Guides now explicitly cover paid social
The Don’ts
- Do not abandon LinkedIn entirely if your ACV exceeds $100,000, because enterprise ABM still wins there
- Do not run the same creative across both platforms, because audience expectations differ dramatically
- Do not ignore state privacy laws, because enforcement is accelerating in California, Texas, and Colorado
- Do not rely on last-click attribution, because Meta’s attribution window is now 7-day click and 1-day view by default
- Do not skip creative refreshes, because ad fatigue on Facebook sets in at roughly 3x frequency within a given audience
Pros and Cons of Switching to Facebook Ads
Pros
- Lower cost-per-lead, averaging 60% to 80% below LinkedIn for mid-market B2B offers
- Faster creative testing cycles, which compound learning across campaigns
- Larger audience reach, with 3.07 billion monthly active users across Meta’s family
- Deeper retargeting infrastructure, including video-view and engagement audiences
- Cross-platform delivery into Instagram, Messenger, and Audience Network from one campaign
Cons
- Weaker job-title and company-size targeting than LinkedIn for enterprise ABM
- More aggressive ad-policy enforcement, with higher account-disable risk
- Privacy-driven attribution loss, especially for iOS users post-ATT
- Creative demands are higher, requiring more video production and copywriting
- Brand-safety concerns in open-feed placements, which require manual placement controls
The Step-by-Step Switch Process
The switch itself is a seven-step process, and each step has nuance that matters for both performance and compliance. Skipping any step usually creates a downstream problem that is expensive to fix. I walk every client through this exact sequence.
Step 1: Audit Your LinkedIn Data
Export your last 90 days of LinkedIn campaign data from Campaign Manager and identify your best-performing creative, audience, and offer. The plain-English version is that you want to know what worked before you spend Facebook dollars testing the same hypotheses. The consequence of skipping this audit is that you repeat LinkedIn mistakes on Facebook at higher volume. A real-world example is a founder who skipped the audit and spent $6,000 on Facebook repeating a LinkedIn landing page that converted at 1.1%, when a simple audit would have flagged the weak page. The common misconception is that platform data does not transfer, which is wrong because offer-market fit transfers even when creative does not.
Step 2: Install Meta Pixel and Conversions API
Install the Meta Pixel through Google Tag Manager and set up the Conversions API through a server-side integration or a partner like Stape or Segment. The plain-English version is that you need both client-side and server-side tracking because Apple’s ATT framework blocks roughly 25% of pixel signal. The consequence of pixel-only tracking is under-reported conversions, which starves the algorithm of optimization signal. A real-world example is a DTC brand that installed CAPI and saw reported conversions increase 34% overnight, which then improved cost-per-lead by 22%. The common misconception is that CAPI is optional, which is increasingly false as more browsers adopt tracking prevention.
Step 3: Build Your Custom Audiences
Create at least five Custom Audiences including past customers, website visitors in the last 180 days, video viewers, lead-form openers, and Instagram engagers. The plain-English version is that these audiences are your warm inventory, and warm always outperforms cold. The consequence of launching without them is a weak retargeting layer, which kills ROAS. A real-world example is an SMB SaaS founder who built eight Custom Audiences on day one and ran retargeting-only for the first 30 days, generating a 6.2 ROAS before ever touching cold traffic. The common misconception is that Custom Audiences are only for e-commerce, which is false because B2B retargeting from website visitors consistently outperforms prospecting.
Step 4: Launch a Prospecting Campaign
Launch an Advantage+ or manual prospecting campaign with a 1% Lookalike and broad interest targeting. The plain-English version is that you want Meta’s machine learning to find your audience rather than over-constraining with narrow filters. The consequence of over-targeting is higher CPMs and slower learning. A real-world example is an agency that used broad targeting plus a strong creative hook and cut cost-per-lead from $88 to $31 in three weeks. The common misconception is that broad targeting is lazy, which ignores the fact that Meta’s algorithm works best with freedom.
Step 5: Design a Lead Magnet Funnel
Replace your direct demo-request landing page with a two-step lead magnet funnel using Facebook Instant Forms or a lightweight landing page. The plain-English version is that cold audiences convert on low-commitment offers before high-commitment ones. The consequence of demo-first funnels is CPLs that are four to six times higher. A real-world example is a fractional CFO who swapped a demo page for a free-checklist lead magnet and cut CPL from $240 to $42. The common misconception is that lead magnets attract unqualified leads, which is only true when the magnet topic is off-brief.
Step 6: Set Up FTC-Compliant Disclosures
Add clear FTC-compliant disclosures to every testimonial, influencer, or affiliate creative. The plain-English version is that you must label paid partnerships and disclose material connections clearly and conspicuously. The consequence of missing disclosures is FTC enforcement and civil penalties. A real-world example is an influencer-led skincare brand that paid a $1.25 million FTC settlement for undisclosed endorsements in 2023. The common misconception is that #ad in a long hashtag string counts as clear and conspicuous, which the FTC has explicitly rejected.
Step 7: Measure, Iterate, and Reallocate
Use the Meta Ads Reporting tool to compare cost-per-qualified-lead, pipeline-per-dollar, and closed-won revenue between Facebook and any remaining LinkedIn spend. The plain-English version is that you decide budget allocation based on full-funnel outcomes not platform-level CPL alone. The consequence of stopping at CPL is a distorted view of which platform drives revenue. A real-world example is a B2B brand that reallocated 85% of budget to Facebook after a 60-day side-by-side test showed 3.4x better pipeline efficiency. The common misconception is that attribution must be perfect, which ignores the practical reality of directional decision-making with imperfect data.
Key Entities That Shape Paid Social in the United States
The paid-social ecosystem involves a tight set of regulators, platforms, and frameworks that every advertiser must understand. The Federal Trade Commission enforces Section 5 of the FTC Act against deceptive advertising and publishes the Endorsement Guides that govern testimonials. The Consumer Financial Protection Bureau adds layered rules for financial-services advertisers, including UDAAP enforcement against unfair, deceptive, or abusive acts.
The California Privacy Protection Agency enforces CCPA and CPRA, which shape targeting and data-collection practices for any advertiser reaching California consumers. Meta Platforms operates Facebook, Instagram, Messenger, and WhatsApp ads, while LinkedIn operates Sponsored Content, Message Ads, and Dynamic Ads under Microsoft’s ownership. The Interactive Advertising Bureau publishes the industry standards that most platforms adopt, including the Global Privacy Platform.
Recap of Relevant Rulings and Regulatory Actions
Three recent actions reshape how advertisers should think about platform compliance. The FTC’s 2023 revisions to the Endorsement Guides made clear that platforms and advertisers share liability for deceptive testimonials, which means your Facebook ad creative must disclose material connections conspicuously. The plain-English version is that “#ad” buried in hashtags no longer counts. The consequence is civil penalties per violation and consumer redress obligations. A real-world example is FTC v. Fashion Nova, which resulted in a $4.2 million settlement for suppressing negative reviews.
The California Attorney General’s 2022 Sephora enforcement action confirmed that failing to honor Global Privacy Control signals counts as failing to process opt-out-of-sale requests. The plain-English version is that automated browser signals must be treated as valid consumer requests. The consequence was a $1.2 million settlement and injunctive relief. A real-world example is the knock-on effect on retargeting, where advertisers must now configure Meta Pixel to respect GPC.
The Supreme Court’s 2024 decision in Moody v. NetChoice clarified that platforms have First Amendment rights in content moderation, which indirectly affects ad-policy enforcement. The plain-English version is that platforms can continue to set and enforce their own ad standards without state-level interference in most cases. The consequence is that your ad account sits under Meta’s or LinkedIn’s discretionary policy, not a neutral legal standard.
Frequently Asked Questions
Is Facebook Ads always cheaper than LinkedIn Ads?
No. Facebook is cheaper for mid-market B2B and most B2C, but LinkedIn wins for enterprise ABM plays with deal sizes above $100,000 where job-title precision justifies higher CPLs.
Do I need to keep any LinkedIn spend after switching?
Yes. Keeping 10% to 20% of budget on LinkedIn for bottom-funnel ABM retargeting often produces the best blended results, especially if you sell into enterprise accounts with long sales cycles.
Is the Meta Pixel legal under state privacy laws?
Yes. The Meta Pixel is legal when you post a clear privacy notice, honor opt-out-of-sale requests, and respect Global Privacy Control browser signals under CCPA, CPRA, and similar state laws.
Do FTC disclosure rules apply to Facebook Ads?
Yes. The FTC Endorsement Guides apply to every paid testimonial, influencer partnership, and affiliate promotion on Facebook, Instagram, LinkedIn, TikTok, and every other paid-social platform operating in the U.S.
Can I import my LinkedIn audience directly into Facebook?
No. You cannot export LinkedIn audience data into Meta, but you can upload your CRM list to build Facebook Custom Audiences and then create Lookalikes from that seed.
Is Advantage+ better than manual campaigns?
Yes. Advantage+ typically outperforms manual campaigns by 15% to 30% for prospecting, though manual campaigns still win for tightly defined retargeting and brand-protection use cases.
Do I need the Conversions API to run Facebook Ads?
Yes. You technically can run without it, but skipping Conversions API costs 25% to 40% of conversion signal post-iOS 14.5, which directly raises your cost-per-lead.
Is cold traffic on Facebook worth it for B2B?
Yes. Cold traffic on Facebook works for B2B when you use a lead magnet funnel, strong creative hooks, and qualifying questions inside the lead form to filter noise.
Are Instagram Reels good for B2B lead generation?
Yes. Reels deliver the lowest CPMs across Meta’s placements and reach decision-makers outside work hours, making them a strong cold-awareness channel for most B2B offers.
Does switching platforms violate any ad agency contracts?
No. Switching platforms typically does not violate standard agency agreements, but you should review termination, scope-change, and minimum-spend clauses before reallocating budget.
Can I use AI-generated creative on Facebook and LinkedIn?
Yes. Both platforms allow AI-generated creative, but the FTC requires clear disclosure if AI imagery or voice could deceive consumers about a product’s true appearance or performance.
Should I run the same offer on both platforms?
No. Running the same offer wastes budget because Facebook audiences respond to low-commitment lead magnets while LinkedIn audiences respond better to high-commitment demos and whitepapers.