Tag: PPC Strategies

  • Win Competitor Traffic With Demand Gen Conquesting

    Win Competitor Traffic With Demand Gen Conquesting

    I have seen traditional competitor campaigns turn into expensive click traps. When someone searches for a competitor’s brand, they are often already close to buying, which means my ad can become little more than a brief detour on their way to converting somewhere else.

    That does not mean I have to give up on competitor-aware audiences. Instead of relying only on competitor brand bidding, I can use Demand Gen campaigns and negative-intent keywords to reach those buyers more efficiently, often at a lower cost.

    Demand Gen: Reaching the right audience for less

    Before I focus on negative-intent keywords, I like to look at Demand Gen because it gives me another way to reach people who may not know my brand yet but are already showing signs of interest in my market.

    For Demand Gen to work well, I need two things: strong targeting and strong creative. Within that targeting, custom audience segments and lookalike audiences are essential.

    Custom segment targeting lets me reach people who have searched for specific terms on Google or who show certain interests and purchase intentions. It is also one of the most practical ways I can get in front of users researching my competitors without paying the higher price of a search click.

    New custom segment

    When I create a new audience inside a Demand Gen campaign, custom segments are one of the first targeting options I see, right after the audience name.

    From there, I choose the option for People who searched for any of these terms on Google and add as many relevant competitors as I can. This helps me reach a highly relevant audience across Google’s inventory at a lower cost than a traditional search network click.

    If I am not sure which competitors to include, I start by typing my main product or service into Google Ads and reviewing who appears. Those businesses are usually my primary competitors, and depending on the networks I opt into, my ads can appear across YouTube, Discover, and Gmail.

    Designing conquesting landing pages for Demand Gen

    When I use Demand Gen for conquesting, I need a landing page built specifically for that audience. I want to highlight my key differentiators, show social proof, and make it obvious why my product or service deserves consideration.

    The click is only the first step. Once someone lands on my page, the offer has to be clear, specific, and aligned with the ad they just clicked. I need to explain the value thoroughly and guide the visitor toward a call to action that matches the promise I made in the ad.


    Negative-intent conquesting: Targeting competitor weaknesses

    But Demand Gen is not always the right starting point. If I do not have strong image or video assets, I may be better off staying closer to the search network.

    Because high-quality creative tends to perform best across Demand Gen placements, search can make more sense when those assets are not available. That is where negative-intent conquesting becomes useful.

    Image

    Most advertisers understand traditional competitor search campaigns, but many overlook the people who are not simply searching for a competitor. They are searching for alternatives, comparisons, cheaper options, or signs that another company can solve the problem better.

    I often see this happen during the consideration phase. A user may search for terms like “companies like X,” “companies cheaper than X,” or, for branded products, “dupe for X.” Not every variation will have enough volume to bid on, but these searches reveal where serious comparison research is happening.

    Building campaigns around competitor pain points

    If I know a competitor has a reputation for poor customer service, I might test keywords such as “customer service complaints for [competitor].” I would keep this focused in a single ad group with closely related keyword variations.

    In the ad copy, I would focus on what makes my customer service stronger, faster, or more helpful. Because of trademark policies, I would avoid naming the competitor directly in the ad text and instead emphasize the benefit I can prove.

    Traditional competitor campaigns focus on bidding against a brand name. Negative-intent conquesting focuses on the weakness behind the search. The audience already knows the competitor, but they are actively looking for a better option.

    I can also pair this approach with a separate custom audience, which lets me reach people searching for these alternatives across Google’s networks.

    For this to work after the click, the landing page matters just as much as the keyword and ad. If my ad promises a better solution to poor service, high prices, or another competitor weakness, the landing page has to validate that claim and present a unique value proposition that directly addresses the concern.

    Target competitor audiences before the decision is made

    The biggest challenge with traditional competitor campaigns is not always the competitor. It is timing.

    When someone searches for a competitor’s brand name, they may have already narrowed their options and moved close to a decision. That is why competitor keyword campaigns can become expensive and hard to scale profitably.

    Demand Gen and negative-intent conquesting help me approach the same audience from different angles. Demand Gen lets me reach potential customers before they commit to a brand, while negative-intent conquesting reaches them when they are actively questioning their current options.

    My goal is simple: I want to reach potential customers when they are most open to considering a different choice. If I can do that with the right targeting, message, and landing page, competitor traffic becomes much easier to win without overspending on traditional brand bidding.


    Inspired by this post on Search Engine Land.


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  • Unlock Competitor Insights with Adthena’s ChatGPT Ad Analysis

    Unlock Competitor Insights with Adthena’s ChatGPT Ad Analysis

    I recently dove deep into the fascinating world of ChatGPT Ads with insights from Adthena. It turns out, the advertising space on ChatGPT is a treasure trove of competitive information that many search teams are missing out on.

    Your competitors are running stealth campaigns via ChatGPT, and the frustrating part is that it’s not immediately visible what they’re bidding on or what creative strategies they’re adopting. Unlike Google Ads, there’s no native way—yet—to get a behind-the-scenes look at this in ChatGPT.

    When OpenAI launched advertising within AI-generated responses, brands jumped on board quickly. With the Ads Manager and lowered spending thresholds, this new ad channel grew rapidly. And with plans to expand to U.K. markets soon, there’s a quickly closing window for early adopters to gain a significant advantage.

    From the start, we’ve been closely monitoring these developments, and what we’ve found is eye-opening.

    ```json
{
  "alt": "Bar chart showing ChatGPT ad frequency by market. U.S. at 4.51%, Canada 4.50%, New Zealand 3.85%, Australia 1.61%, U.K. Zero.",
  "caption": "Exploring ChatGPT ad presence globally: U.S. and Canada lead with over 4%, while the U.K. notes zero activity. Discover market trends in AI advertising.",
  "description": "This image is a bar chart illustrating ChatGPT ad frequency across different markets. The data shows the United States at 4.51%, Canada at 4.50%, New Zealand at 3.85%, and Australia at 1.61%. Notably, the United Kingdom registers zero ad frequency. The chart is presented on a dark blue background, emphasizing the data collected by Adthena."
}
```

    What Does the Current ChatGPT Ads Landscape Look Like?

    Our analysis spans nearly a million queries across 20 industries in five markets, telling a clear story of the current landscape.

    It’s Primarily a U.S. Channel—Other Markets are Catching Up

    In the U.S., ads are run on about 4.5% of queries. In contrast, during the same period, the U.K. had none. The U.S. dominates, accounting for 90% of ChatGPT ad placements in our dataset, with Canada and New Zealand also active and Australia at 1.6%.

    For U.K. teams, it means while the channel isn’t live yet, U.S. competitors are already fine-tuning prompts and creative strategies, placing them at a strategic advantage when the U.K. market opens.

    ```json
{
  "alt": "Bar chart showing ChatGPT ad frequency by industry, with Logistics having the highest percentage.",
  "caption": "Explore how ChatGPT ads perform across industries, with Logistics leading the charge at 12.41% and sectors like Legal and Pharma blocked.",
  "description": "This image is a bar chart from Adthena, illustrating ChatGPT ad frequency across various industries. Logistics tops the list at 12.41%, followed by Home & Garden at 11.99%. Categories such as Legal and Pharma have 0% due to policy blocks. The chart categorizes industries into top performers, above platform average, below average, and blocked, offering insight into advertising trends."
}
```

    The Majority of Responses Contain Just One Ad

    On average, ChatGPT presents only 1.06 ad items per response in the U.S., implying a single sponsored slot per query. This level of exclusivity changes the game completely compared to multi-slot Google Ads.

    Industry Restrictions Still Apply

    Certain sectors, like Legal and Pharma, show no ad activity due to what seems to be OpenAI’s deliberate restrictions, although this could change, providing proactive teams an edge.

    Unexpected Hot Categories

    Logistics, Home & Garden, and Beauty & Cosmetics are leading in ad frequency, indicating high potential for growth in these sectors.

    ```json
{
  "alt": "Bar chart showing US market shares for retail, automotive, hospitality, media, and others.",
  "caption": "Retail and fashion dominate the US market, leading ahead in both search queries and ad presence.",
  "description": "This bar chart compares the US market shares of various industries: retail & fashion, automotive, hospitality & travel, media & entertainment, and others. Retail & fashion is the leader with 24.1% share of queries and even higher ad items share at 38.9%, showing an over-index of +14.8pp. Automotive follows with 8.5% in queries. The chart, presented by Adthena, emphasizes the commercial gravity of retail in the US market."
}
```

    Retail Leads in Ad Spend

    Retail & Fashion accounts for a vast share of U.S. ad items, indicating robust advertiser demand, far surpassing the national average. This suggests the significant investments made by retail brands in this space.

    Current Challenges in Competitive Intelligence

    Without tools like Auction Insights, understanding your competitive landscape on ChatGPT is practically impossible. You’re spending budget where you can barely track competitor activity. It’s a gap that Adthena aims to close.

    Achieving Full Market Visibility with Adthena

    Adthena’s ChatGPT Ads Intelligence offers broader insights by monitoring a plethora of prompts daily, providing a competitive overview previously unavailable.

    ```json
{
  "alt": "Ad impressions comparison chart with competitors and line graph analysis.",
  "caption": "Dynamic visualization of ad presence over time, comparing performance with top competitors.",
  "description": "The image displays a data chart comparing ad impressions among top competitors over 30 days. A pie chart shows a 38% share, while a line graph tracks different competitors' trends from 01/12/2025 to 31/12/2025. A note highlights the fastest growth from 8% to 19.4% in 8 weeks, advising focus on areas where competitors outperform."
}
```

    You can now see who bids on your prompts, track share of voice, and spot open prompts ripe for targeting before competitors do.

    In a new and rapidly evolving channel, being an early mover is an opportunity that shouldn’t be missed. Try ChatGPT Ads Intelligence free for 21 days and unlock the full potential of your advertising strategy.

    Beyond Just ChatGPT: Expanding Your Search Horizons

    As users move towards AI-driven searches for high-intent queries, such as product recommendations, it’s essential for search practitioners to adapt. Simply put, the game is changing.

    ```json
{
  "alt": "Chart showing ad detection rates for Xfinity-related queries with competitors' comparison and top competitor sites.",
  "caption": "Explore where your ads stand in the competitive landscape with detailed detection rates and comparisons against top competitors like hotels.com and kajack.",
  "description": "This image displays a chart analyzing ad detection rates for various Xfinity-related queries. It highlights your detection rate alongside competitors and compares it to top competitors like hotels.com. The table details 'Prompt', 'Your Ads Detection Rate', 'Comparison Rate', 'Top Competitor', and more. Ideal for advertisers seeking insights into ad performance and competitor strategy."
}
```

    If you’re attentive to ChatGPT Ads now, you’ll be hard to budge later. Our data shows a window of opportunity open now, similar to the early days of Google Ads. Capitalize on this before it closes.

    Start your free 21-day trial of Adthena’s ChatGPT Ads Intelligence today to discover what’s unfolding in the ChatGPT ad space.


    Inspired by this post on Search Engine Land.


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  • How Ignoring Data Can Derail Your PPC Success

    How Ignoring Data Can Derail Your PPC Success

    Recently, I found myself captivated by a story shared by Dean Kadi, Head of Paid Growth at One Link Media. He recounted a fascinating experience from a PPC Live podcast that really highlighted what can go wrong when you ignore performance data. It involved a client who overrode a winning ad strategy with new creatives that just didn’t deliver.

    Dean Kadi’s team had developed an exceptionally successful Meta advertising strategy for a premium woodworking brand, Rubio Monocoat, using user-generated content (UGC). Their intensive testing across creators and formats resulted in a significant ROAS improvement, proving the power of well-tested strategies.

    However, the client decided to halt all the high-performing ads in favor of new, heavily branded content. Despite the polished look, these ads didn’t blend well with the Meta platform, and it was clear that engagement and conversion would likely suffer.

    The client’s assumption was rooted in a customer survey that praised the brand’s color range, leading them to mistakenly prioritize this over proven data. This is a classic marketing pitfall where assumptions can cloud judgment and overshadow hard-earned data insights.

    The most eye-opening moment came when the client expressed a simple wish for their new strategy to be a winner. Dean explained that in paid media, success isn’t driven by preferences or hopes—it’s determined by what resonates with audiences, as clearly shown by performance data.

    When facing such situations, Dean advises agencies like us to stay calm, present evidence, and communicate risks effectively. Professionalism and clear documentation can help maintain client relationships while asserting the agency’s expertise.

    As expected, the new strategy did not perform well. Underperformance became evident with increasing costs and decreasing campaign efficiency. After eight weeks of this, the client recognized the necessity to revert to the original strategy.

    Reintroducing UGC ads quickly turned the tide, proving the original strategy’s effectiveness. Performance metrics showed immediate improvements, reinforcing the importance of data-driven decisions.

    The overarching lesson here is that data should be your guiding light in PPC campaigns. Clients sometimes need to see failures themselves before they trust data insights. Consistently providing clear, transparent reports helps rebuild trust and guide future strategies.

    Dean also pointed out that many PPC accounts still suffer from poor tracking setups. This issue is a major roadblock to optimizing performance and should be addressed urgently.

    Additionally, while AI tools can enhance efficiency, they cannot replace the need for a strong strategy. Human judgment remains crucial for evaluating AI outputs and guiding successful campaigns.

    In conclusion, successful PPC is all about balancing data, strategy, and communication. Document recommendations thoroughly, trust your expertise, and let audience data guide your actions. Remember, it’s the audiences who ultimately decide what works.


    Inspired by this post on Search Engine Land.


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  • Resolving Delays in Google Ads Demand Gen Reviews

    Resolving Delays in Google Ads Demand Gen Reviews

    Google Local Services Ads vs. Search Ads- Which drives better local leads?

    I’ve recently experienced frustrations with Google Ads as there’s a known issue causing Demand Gen ads to face review delays of over a week. Google acknowledges this problem and assures us that they’re working on a solution.

    Some of us advertising on Google have noticed our ads are lingering in review, taking more than seven days—something that deviates from normal review timelines.

    What’s happening. Matthew Skelton, a senior PPC specialist I follow, has pointed out a trending issue: Demand Gen campaigns stuck in review for an unexpectedly long time. This delay is noticeable across various accounts and industries, seemingly without any policy breaches causing it.

    Interestingly, other campaign types, like Search and Performance Max, aren’t affected and continue processing as usual, which suggests the problem is isolated to Demand Gen ads.

    Why we care. For those of us using Demand Gen to test creatives and drive top-of-funnel results, speed is crucial. Long review times hinder our ability to iterate swiftly, delay launches, and make it challenging to respond to seasonal trends or time-sensitive opportunities.

    A delay lasting a week can disrupt our pacing and diminish the effectiveness of campaigns relying on rapid optimization.

    The response. Ginny Marvin, a Google Ads Liaison, acknowledged this issue specifically impacting Demand Gen image ads, admitting reviews are taking longer than anticipated. She assured us that Google’s team is actively seeking a solution, but no clear timeline has been provided yet.

    Bottom line. If you’re experiencing delays with your Demand Gen ads, know that it’s a widespread issue acknowledged by Google rather than something you can directly address.

    First seen. This situation was first reported by Matthew Skelton, who shared his insights on LinkedIn.


    Inspired by this post on Search Engine Land.


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