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How I Achieved Sub-$10 CPL with LinkedIn Ads on a Budget

Have you ever wondered if it’s possible to run effective LinkedIn Ads without breaking the bank? I’m here to tell you it absolutely is, and I’ve got the playbook to prove it. By focusing on content depth, timing, and precise targeting, I managed to lower CPCs and improve lead quality in our LinkedIn campaigns.

LinkedIn Ads often deliver top-notch B2B leads but have a reputation for being costly in both CPC and CPL terms. So, I embarked on an experiment to see if a high-value, audience-specific content piece could achieve low-cost leads on LinkedIn.

Though our agency primarily runs LinkedIn Ads for clients, I decided to test this theory on Saltbox Solutions itself, where I serve as the Director of Strategy. I wanted full control to see just how big of an impact we could achieve.

We spent under $1,000 and generated a wealth of leads at less than $10 CPL. For those with limited budgets, LinkedIn Ads might not be as out of reach as you think—it just requires a well-thought-out strategy.

Want to know how I did it? I’ll break down every detail, from the setup to execution, so you can replicate it regardless of your budget.

The campaign targeted B2B marketing decision-makers by offering a 23-page Demand Gen Playbook for 2026. The timing was key, as it aligned with the planning cycle for many marketing leaders.

I chose a document ad format with a lead generation objective, allowing audiences to preview content before downloading. The form had minimal friction thanks to LinkedIn’s autofill options.

With a $600 lifetime budget and a $15 manual bid strategy, we focused on optimizing our spend efficiently.

Our audience research was rigorous. I aimed to understand the true needs and concerns of B2B marketing leads by mining client interactions and using tools like SparkToro to identify engagement patterns.

This meticulous research resulted in an asset that truly resonated with the audience, achieving a stellar 76% lead form completion rate.

The targeting strategy was layered, combining job titles and company roles to address a 54,000-person audience, efficiently refining the reach of our ads.

Ad copy was crafted with an inviting tone, leaning on hooks like “Steal our best demand gen ideas” to captivate and engage.

The result? An average CPC of $5.41—shattering expectations given our $15 bid ceiling. The campaign not only surpassed LinkedIn’s typical CTR benchmarks but also generated 60 qualified leads.

This test validated a model that I plan to relaunch, incorporating feedback from initial downloaders to further fine-tune the playbook.

If you want results like mine, start with audience research before creating your asset. Build meaningful, timely, and well-targeted content to see better ROI from your LinkedIn Ads.

Inspired by this post on Search Engine Land.

March 26, 2026
Unlock New Ecommerce Potential with Reddit’s Shopping Ads
I’m thrilled to share that Reddit is stepping up its ecommerce game by introducing exciting new shopping ad tools. These include innovative Dynamic Product Ad formats and a seamless Shopify integration, aiming to help retailers connect with Reddit’s ever-growing audience.

Reddit is really making commerce a priority, launching a range of features that let retailers leverage the platform’s powerful purchase influence. It’s fascinating to see this evolution as Reddit plays a more prominent role in the buying process.

Why now. There’s a noticeable surge in shopping discussions, having increased by 40% over the last year. According to Reddit, a whopping 84% of shoppers feel more assured about their purchases after browsing Reddit, yet, surprisingly, it remains the most undervalued media channel, as reported in Fospha’s State of Retail Commerce 2026 study.

What’s new.
- Collection Ads — This dynamic ad format pairs enticing lifestyle images with purchasable product tiles in a carousel, brilliantly merging discovery with purchase. Those who’ve embraced these best practices are seeing an impressive 8% boost in ROAS.
- Community and Deal overlays — Exclusive Reddit-native labels like “Redditors’ Top Pick” and automated discount alerts provide valuable social proof and price signals without any additional effort from advertisers.
- Shopify integration — In its alpha stage, this integration streamlines catalog and pixel setup for new Dynamic Product Ad enthusiasts, facilitating automatic product-user-context matching.
The numbers. In Q4 2025, Reddit’s Dynamic Product Ads delivered an average of 91% higher ROAS compared to the previous year. Notably, Liquid I.V. has seen DPAs constituting 33% of its total platform revenue, significantly outperforming other conversion campaigns by 40%.

Why we care. The introduction of tools like the Shopify integration drastically lowers the barriers for launching Dynamic Product Ads on Reddit. With Reddit still an undervalued channel, it’s a golden opportunity to capitalize on before the market becomes more competitive and costs escalate.

The bottom line. Reddit is seriously enhancing its reputation as a performance channel in ecommerce, and these new tools make it much easier to join the race. For retailers who haven’t yet utilized DPAs on Reddit, this is an excellent moment to experiment with an undervalued inventory and evolving ad formats.

Inspired by this post on Search Engine Land.
March 24, 2026
Apple Maps to Launch Ads: A New Era of Location-Based Advertising

I’ve recently come across some exciting news: Apple is gearing up to introduce ads in Apple Maps. This move seems to open a brand-new, high-intent, location-based advertising channel on one of Apple’s most popular apps.

As I’m exploring this development, I’m intrigued by how Apple plans to expand its advertising business beyond the App Store. They’re set to include sponsored listings within Apple Maps, which could mark a significant shift for advertisers already familiar with the platform’s mapping tool.

How it will work. From what I’ve gathered via Bloomberg’s Mark Gurman, the concept is similar to Google Maps. It involves retailers and brands bidding for ad placements against specific search terms. Sponsored businesses would show up in search results within Maps, much like we see with Apps in the App Store.

The timeline. There’s speculation that we might hear an announcement soon, with the actual advertisements making their debut as early as this summer across iPhones, other Apple devices, and even the web.

Why Apple is doing this. Advertising is becoming a lucrative and high-margin revenue stream for Apple’s services. Given the massive user base of Maps across Apple devices, moving into location-based advertising is a natural progression for them.

Why we care. I’m paying close attention because Apple Maps is a widely used app, particularly among iPhone users. Those using Maps are often looking for something specific, which means significant opportunities for local businesses and retailers to reach potential customers right when they’re making decisions.

For those of us already involved in Google Maps or local search campaigns, this could become a valuable complementary channel to explore.

The bottom line. As Apple Maps prepares to launch ads, we’re looking at a high-intent, location-based advertising opportunity that hasn’t existed before on Apple’s platform. I would advise anyone running local or retail campaigns to start planning now. Being an early bird in a new ad auction typically means less competition and better costs before the market fully develops.

Inspired by this post on Search Engine Land.

March 24, 2026
Streamline Your Ads with Microsoft’s New Automated Bidding

I’m excited to share that Microsoft is making a significant update that simplifies the way we set up automated bidding in Microsoft Advertising.

By consolidating performance targets, Microsoft aims to reduce complexity, making bidding more streamlined without sacrificing the control over critical performance metrics.

What’s happening: The platform is integrating common targets like Target CPA and Target ROAS into broader automated strategies. This means these targets will now form part of a more comprehensive bidding approach instead of standing alone.

From now on, I’ll be choosing between two main strategies: Maximize Conversions or Maximize Conversion Value, with optional performance targets that can be added as needed.

Credit – Hana Kobzova of PPC News Feed

How it works: For campaigns focused on conversions, I’ll select Maximize Conversions and may set a target CPA if desired. For campaigns aiming at maximizing value, I’ll choose Maximize Conversion Value with the option of setting a target ROAS.

Microsoft reassures that this update doesn’t change the fundamental bidding behavior — it simply makes the setup more user-friendly.

Why we care: This change enhances accessibility to Microsoft Advertising’s tools, making automated bidding more straightforward and efficient, which is especially beneficial when managing large-scale campaigns.

For us advertisers, this means faster setup times, more consistent optimization across accounts, and fewer complexities when managing campaigns focused on conversion or value.

What’s staying the same: Existing campaigns using Target CPA or Target ROAS will continue seamlessly, requiring no updates. Portfolio bid strategies are unaffected as well.

The bigger picture: This move is part of Microsoft’s larger effort to simplify automated bidding while ensuring performance control remains intact.

Bottom line: Microsoft is refining bidding options to make them more accessible without losing our ability to fine-tune performance through familiar controls.

Inspired by this post on Search Engine Land.

March 19, 2026
Google Streamlines Ad Policies, Embracing Modern Automation

From my experience, it’s clear that Google is moving forward by retiring several older ad format policies. This change highlights the transition toward innovative, automated campaign strategies in Google Ads.

What’s happening. On March 17th, Google decided to phase out numerous legacy ad format policies, including those concerning form ads, image quality, and more.

What changed. The rationale behind this is that many of these formats have evolved into modern campaigns, making previous policy frameworks obsolete.

Why we care. For us advertisers, this development streamlines Google Ads’ policy landscape, reducing potential confusion from older requirements.

What advertisers should do. It’s essential for us to focus on current Google Ads policies that regulate newer, automated, and AI-driven ad formats.

The bottom line. By streamlining policies, Google is reinforcing a shift toward fewer, more unified standards for today’s modern ad formats.

Inspired by this post on Search Engine Land.

March 18, 2026
Revamp Your Search Ads with Google’s New Vehicle Feeds

I’ve just discovered some groundbreaking updates from Google that could transform how automotive advertisers leverage search campaigns. Google is now empowering us by integrating vehicle feeds directly into Search ads, making our inventory more visible with a vibrant and more engaging format.

So, what’s new? Google Ads now allows for vehicle feed integration on Search ads. We can pull from Google Merchant Center to enrich our ads with specific details like make, model, price, and images, all designed to enhance the standard text ad.

Let me explain how it works. These vehicle listings appear as clickable assets alongside our usual Search ads. They can either show up below or beside the main text, offering users a seamless path to either a detailed vehicle page or a broader landing page based on their interaction.

Why should we care? This update is a game-changer. It allows us to showcase real inventory directly in our Search ads, making them more attractive and informative for high-intent users. We can achieve richer visibility and potentially gain more qualified leads by displaying key details upfront in Google Search, without the hassle of extra campaign setup.

What makes this noteworthy is how it brings Shopping-style visual elements to our Search campaigns. We can now feature real inventory without needing separate campaign types, which is a significant advantage.

As advertisers, the benefits are immense. We get a more engaging ad experience, the opportunity for higher-intent leads, and we can use our existing Merchant Center feeds effectively, eliminating the need for duplicate setups.

When it comes to measuring success, we can track performance through the “Click type” segment. This helps us understand user interactions with vehicle listings compared to standard ads, offering insights into what works best.

Matching is another area where Google shines. Their automation decides which vehicles appear based on user intent and query context, marking a shift towards less manual control and more AI-driven ad assembly.

Here’s the takeaway. Vehicle feeds in Search campaigns offer us a powerful way to integrate inventory with intent-driven queries. We can turn standard text ads into dynamic, product-led experiences, significantly enhancing user engagement within Google Search.

Inspired by this post on Search Engine Land.

March 18, 2026
Discover Google’s New ‘Sponsored Shops’ That Transform Shopping Results
I’ve recently stumbled upon a fascinating test by Google in their Shopping results. They’re experimenting with something called “Sponsored Shops,” which could totally change how we see competition in Shopping ads.

These “Sponsored Shops” spotlight entire stores rather than just individual products, meaning brands might need to rethink their strategy to gain visibility.

Imagine seeing a block in Shopping results that brings together several products from a single retailer, complete with store name, product ratings, and brand presence. It’s like a mini-storefront right there in the search results!

Why this matters to me. If this change spreads, it means the competition won’t just be about single products anymore. As a brand, I might need to ensure that my entire product feed is strong and diverse to capture these new ad placements.

Besides, this format has the potential to redirect traffic flow from individual product pages to broader store pages. For someone managing campaigns, it could mean prioritizing brand presence over just targeting specific product bids.

The bigger picture. It looks like Google’s trying to move Shopping ads slightly higher up the sales funnel. With one placement, I can emphasize a wide range of offerings and bolster my store’s identity.

Why this is notable for us. This approach can significantly boost exposure per impression by allowing multiple products to be showcased together. It’s an excellent way for us to strengthen brand presence in search results.

As a user, I find it makes discovery a lot simpler. I can easily browse a variety of items from one retailer without leaving the results page.

Reading between the lines. If this new format catches on, it’ll likely reward those, like me, who have invested in stronger product feeds and have great seller ratings. Merchants that depend solely on individual product listings might find themselves at a disadvantage.

What I’m curious about. I wonder how different parts of the ad unit will perform in terms of clicks. Stephanie Pratt, a Marketing Operating Lead, even pointed out the potential for consumer confusion between clicking on brand names versus individual products.
- “It’ll be interesting to see the split of clicks on each part of the ad unit, and how much is on the brand name vs product and if that will confuse some consumers
The bottom line for us. If “Sponsored Shops” goes beyond its testing phase, Google Shopping might lean more towards store-level competition. This could mean a shift in strategy for me—from product-centric optimization to enhancing brand presence across the platform.

Where I first encountered this. This intriguing development was spotted by PPC Specialist Arpan Banerjee, who shared it on LinkedIn.

Inspired by this post on Search Engine Land.
March 16, 2026
Master Google Ads Audits: Navigate the Changes in 2026

I recently tuned into an episode of Google’s Ads Decoded podcast where Brandon Ervin, Director of Product Management for Google Search Ads, shared insights on campaign consolidation, AI Max, and the future of advertiser control as we approach 2026. It was enlightening to hear a product team so in tune with advertiser concerns.

However, I felt the podcast left some gaps. There’s a significant disconnect between Google’s narrative and what advertisers truly experience on the ground. While Ervin’s team is making strides, the fast-evolving platform presents new challenges, shifting performance measurement onto economic standards. This change fundamentally alters how we should approach search ad audits.

As I reflect on recent improvements, it’s clear that enhancements like brand exclusions in Performance Max and Demand Gen, exclusion of site visitors in PMax campaigns, and improved search term visibility are crucial. These are responses to issues caused by bundling and aggressive automation. It’s worth noting that these controls arrived after advertisers were already knee-deep in implementation.

In an era where Google’s product team pushes for advancement, it’s vital for us to audit whether these new tools genuinely expand control or simply restore baseline transparency lost with earlier automation efforts.

In building the foundation for a 2026 search audit, we need to start with the basics, ensuring full ad extensions, strategic automated bidding, and maintaining negative keyword lists, among others. These are undeniable essentials that set the stage for deeper audits.

Focusing on the intricacies of signal architecture, I realize that while traditional controls like exact match and manual bids gave us direct oversight, the new controls shift focus to data quality, density, and selectivity. These influence the algorithm, which ultimately makes the decisions.

An effective audit in this context addresses three core aspects: the quality of the data imported, the density of high-quality data available for modeling, and the selectivity of the data shared with Google. These elements are pivotal in shaping campaign success.

Being mindful of incrementality is another key consideration. Google optimizes towards reported conversions, often encompassing brand search and retargeting signals that may not truly reflect incremental gains.

It’s critical to analyze marginal returns as Google’s system operates on a blended cost-per-action model. Without understanding the incremental cost at each spend tier, advertisers risk overspending without realizing diminishing returns.

Furthermore, as Ervin acknowledged, AI-driven campaigns sometimes misalign with intended targets. Query mapping has deteriorated over time, and AI Max exacerbates irrelevant matches, underlining the need to rigorously classify queries by intent to maintain high-value engagements.

Lastly, the economics of network performance in bundled campaigns like Performance Max and Demand Gen need thorough examination as they obscure valuable insight into actual network-driven outcomes.

By focusing on value redistribution through audits, we can ensure that the surplus value generated by high-intent searches isn’t misallocated into Google’s weaker inventory, thereby optimizing ad spend efficiency and accountability.

Inspired by this post on Search Engine Land.

March 13, 2026
PPC Challenges: AI’s Limited Impact and Growing Platform Opacity
PPC is becoming an increasingly difficult landscape to navigate, and even though AI provides some help, it doesn’t save the day. Meanwhile, platform transparency continues to decline, leaving us in the dark about budget management.

The latest survey of PPC professionals reveals a challenging environment characterized by less transparent platforms, diminishing effectiveness of traditional measurement methods, and AI tools that have yet to revolutionize our daily routines.

Why I care. As someone deeply invested in PPC, it’s notable that over half of practitioners (53%) believe PPC has become tougher compared to two years ago. The issue isn’t just competition; it’s the increasing number of decisions being made by platforms out of advertisers’ view, which contributes to this growing complexity.

Considering that a whopping 89% of digital ad spend goes to just three companies, those of us who don’t have private measurement tools are essentially navigating without a compass.

By the numbers:
- 1,306 respondents participated in the survey conducted between November and December 2025, representing agency, freelance, and in-house roles.
- 62% identified platform opacity as the main reason for increased PPC complexity, with 53% pointing to the loss of effective measurement tools.
- 5.2 hours/week are saved on average with AI tools, though the majority of us (55%) save only 1–5 hours; almost nobody reports saving over 20 hours.
- 59% are now using LLMs for ad copy, up significantly from 42% the previous year, marking it as the fastest-growing AI use case.
- 73% of in-house teams now manage PPC entirely in-house, a significant increase from 44% two years ago.
- 20% of clients are considering replacing agency work with AI, compared to just 12% planning to switch agencies.
- $1 trillion was spent globally on digital ads in 2025, with 89% directed towards Google, Meta, or Amazon.
What they’re saying. Among PPC features, exact match keywords remain the most reliable, with 75% of us using them frequently. However, AI Max for Search sees minimal adoption, with 34% never having used it, possibly due to it being one of Google’s newest updates. Across the board, auto-apply recommendations are viewed with skepticism.

Between the lines. The underlying theme in the report revolves around agency survival. Many of us (62%) highlight the challenges of finding talent and increasing revenue, with the real threat being clients opting to manage PPC internally using AI.

The big picture. We’ve developed a cautious yet practical approach to incorporating AI — leveraging it for tasks like copywriting and research while being wary of its ability to make autonomous decisions. The more pressing issue that remains unaddressed is that platforms are gaining control and giving us less control over visibility, with no easy solution on the horizon.

Dig deeper. For more insights, check out The State of PPC Global Report 2026.

Inspired by this post on Search Engine Land.
March 11, 2026
Transform B2B Success: Top LinkedIn Ads Tests for 2026
Short-form video, Thought Leader Ads, personalized creative, and Qualified Lead Optimization are showing promise. Here’s how I plan to test them.

LinkedIn made some noteworthy moves last year with significant payoffs for our B2B clients. As we embrace 2026 and zero in on our yearly marketing goals, I’ve gathered some exciting insights from 2025 to help you maximize your strategies. Let’s dive into the top tests to run, including:
- Video.
- Thought Leader Ads.
- Personalized creative.
- Qualified Lead Optimization.
- Ads duplication.
Let’s explore each of these tests and the potential benefits they offer.

LinkedIn video is a must

Even though Meta and TikTok are more suited for videos, LinkedIn hasn’t shied away from the wave — especially with short-form videos (7-15 seconds). Crafting the right content is crucial for your marketing strategy. Here’s how you can leverage video effectively:

Consider new placements like First Impression Ads. Compare the performance of video ads in the feed against other ads to gauge impact and engagement.

The usual tips apply:
- Avoid just repurposing videos from others. LinkedIn users interact differently — focus on content addressing professional challenges, testimonials, or tutorials.
- Have a follow-up plan for users engaging with your video, as one video isn’t usually enough to convert immediately.
- Define a strategy to measure video engagement value, from views to actions like “Comment X for the full guide.”
Dig deeper: LinkedIn study reveals how B2B video ads can gain +129% engagement lift

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People respond to people, so try Thought Leader Ads

Engaging potential B2B clients can often be challenging, especially through a corporate lens. Thought Leader Ads (TLAs), which allow companies to boost employee content, have been around. Since I tested them rigorously in 2025, I’ve noticed they garner significantly higher engagement compared to typical business profile ads.

TLAs also afford creativity. Humorous posts, for instance, feel more authentic when shared from a personal profile.

As with all boosted content, selective investment is key. If a post organically gains traction and aligns with your business goals, it’s a prime TLA candidate.

Caveats to consider:
- Ensure employees whose content you boost have your brand prominent on their profiles. Activate creator mode so users can follow them, adding value to future content.
- Per LinkedIn, repurposing content published less than 30 days ago works best. My experiences confirm this.
Dig deeper: LinkedIn Ads retargeting: How to reach prospects at every funnel stage

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Personalize your creative

In late 2025, I experimented with personalized LinkedIn ads across various regions and campaigns. Globally, I witnessed a >20% improvement in cost per lead, paired with better CTR and lower CPC. U.S. campaigns were remarkable, showing a 33% drop in CPLs.

According to my LinkedIn contacts, European users value privacy more than their U.S. counterparts, explaining why personalization resonated better stateside. Yet, even U.S. campaigns showed fatigue with personalized ads after a month.

Combining personalized and non-personalized ads in one campaign decreased the frequency of personalized ads and facilitated side-by-side performance comparisons.

Dig deeper: LinkedIn’s new playbook taps creators as the future of B2B marketing

Test Qualified Lead Optimization

Having experience with Conversions API (CAPI) and enhanced conversions in Meta and Google, the concept of Qualified Lead Optimization is familiar. LinkedIn’s take lets you merge your first-party data with its algorithm to target high-quality users more effectively.

Though not as adept as Meta and Google yet, I’ve noted an increase in qualified leads through LinkedIn.

Here’s how to test it:
- Use LinkedIn’s CAPI to sync CRM data and define what constitutes a qualified lead.
- Set up a CAPI conversion event for qualified leads and ensure data flow to Campaign Manager.
Use the new ads duplication feature

This tactical feature has saved me time across accounts, making it an essential tool. In March 2025, LinkedIn improved Campaign Manager with a feature for duplicating ads across campaigns and accounts, expediting our campaign launches — a win with no downsides.

One more LinkedIn ad format to watch

I’m still evaluating LinkedIn’s new CTV capability. It offers potential for testing brand messages and positioning through targeted niche audiences before committing to broader campaigns.

LinkedIn introduced substantial updates last year, prompting us to boost client budgets there. Setting clear platform expectations and having a robust evaluation framework will maximize LinkedIn’s value.

Armed with these strategies and a deep understanding of your ideal customer profile (ICP), LinkedIn could serve as a surprising source of growth in the coming months.

Inspired by this post on Search Engine Land.
March 11, 2026

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