Tag Archive for: #SEOROI

The keyword research tool: A powerful addition to your SEO arsenal – Search Engine Land

Identify traffic-stealing competitors
Find untapped keyword opportunities
Create content that ranks higher
sel logo
Chat with SearchBot
A keyword research tool is your secret weapon in any campaign to dominate the search engine results pages (SERPs). Whether you’re developing a search engine optimization (SEO) strategy or conducting research for pay-per-click (PPC) ads, the right tool eliminates guesswork and ensures your efforts bring a tangible return.
Although search marketing has grown more complex and less reliant on keywords in the past few years, they remain essential to your overall content strategy.
Keywords are still the starting point for how search engines interpret user intent and connect queries to relevant content. Even with semantic SEO and entity-based search, keywords provide the raw signals that help algorithms disambiguate concepts and understand context. They guide content strategy by revealing what topics and questions matter most to your audience, informing everything from pillar pages to FAQ sections. 
Keywords also remain central to SERP optimization since features like featured snippets, People Also Ask boxes, and voice search often trigger from specific phrases. Performance tracking, competitive analysis, and content gap identification still rely heavily on keyword data. 
Moreover, AI-powered search and language models continue to use keyword-driven inputs to generate summaries and answers. In short, keywords now work in tandem with semantic SEO—not in opposition—anchoring strategy while enabling more sophisticated search experiences.
A reliable tool is vital, helping you identify a goldmine of frequently searched topics while providing the in-depth insights you need to reach your target audience.
In this article, we’ll discuss keyword research and show you how to use our in-house tool to rank higher, boost traffic, and increase conversions. As you read, consider how you can test our free keyword tool to get a sense of how you can develop your process to find the right keywords to rank higher, capture SERP features, and land in front of your target audience.
A keyword research tool is software that helps you discover and analyze search terms (i.e., keywords) that users enter into search engines.
In SEO, marketers use keyword research tools to identify opportunities for content creation. These tools reveal an abundance of potential topics within any niche, helping you fill content gaps and transform your website into a bonafide authority. 
Equally important, keyword research tools guide the writing process and content marketing strategy. By revealing the intent behind a search query, they provide an “angle” from which to write. They also help you optimize your page’s content, identifying key terms to incorporate within an article’s structure, body, and metadata.
When it comes to the paid advertising side of things, keyword research tools help marketers find cost-effective search terms with high conversion potential. Depending on the tool, they may even provide insight into competitor ad strategies, revealing details about what’s working and what’s not.
Most keyword research tools feature a similar user experience (UX). 
First, you feed the tool a seed keyword: a broad search term, often one to three words long. Then, the software returns a list of keywords related to your topic, along with details about each one’s monthly search volume, organic ranking potential, cost per click, and more.
Keyword research isn’t just another box you check at the start of an SEO campaign. It’s a fundamental part of discovering topics, optimizing content, and aligning your content with search intent.
What is search intent, exactly?
Search intent is the reason behind a user’s query. It’s what they’re trying to learn or achieve when they type something into a search engine like Google or Bing. Keyword research helps you understand this intent and craft articles that provide a direct solution to the query.
Keyword research also prevents you from wasting your time. There’s little point in crafting a detailed SEO article that nobody’s searching for, or one that has zero chance of ranking in the SERPs.
In other words, keyword research minimizes your risk and maximizes your chances of identifying high-value keywords, driving traffic, and securing conversions.
Keyword research isn’t always a linear process. You may jump around or repeat steps as your awareness of a topic grows and you encounter new information.
With that said, here are the key components of a smart keyword research strategy.
To get started with keyword research, consider a classic brainstorming session using a simple mind map.
Let’s say your website is all about keyword research and the content creation process. Take a piece of scratch paper or your preferred graphics program and write out the term “keyword research.” Then, free associate and jot down any words or phrases that enter your mind.
Did you unearth any new ideas? Hang onto these terms and try variations of them as seed keywords during the next stage of the research process.
If you prefer a more modern approach to brainstorming, forums like Reddit are an excellent way to see what people are actively discussing. Use the search bar at the top of the Reddit homepage, and you’ll almost certainly find a group within your niche.
Here’s another option: If you’ve been in business for a while and have gathered feedback from customers, use this treasure trove of data to your advantage. See if you can find common questions or complaints you can address—content developed in this way doubles as a reference you can send to customers down the line.
Finally, you can turn to the search engines themselves for inspiration.
Google Suggest or Google Autocomplete is something you’re probably already familiar with. But did you know that this handy tool for searchers also presents a reliable source of data for marketers?
Start typing a topic or question into Google and see what recommendations appear in the drop-down panel. Continue typing in different combinations of letters and words, and see what related keywords pop up.
You can also glean ideas from the SERPs themselves. Simply scroll to the bottom of any results page, and look for a section called “People also search for” to see related queries.
Depending on the search query, you may also see a “People also ask” section near the middle of the results page.
All of these options should help you populate a comprehensive list of seed keywords for further evaluation.
Once you have a list of seed keywords in mind, try experimenting with a keyword research tool. This will help you identify viable, relevant keywords and understand their defining metrics.
Navigate to your tool of choice (we recommend ours, of course) and enter your seed keyword. The tool should return a list of related search terms followed by several metrics associated with each.
For instance, the default metrics on our keyword research tool include:
Depending on the tool, you may be able to dive even deeper into the data. For instance, our tool connects directly to Semrush’s massive database. If you click on a keyword and sign up for a free trial, you gain instant access to a ton of advanced metrics. You’ll find monthly search volume by region, questions incorporating the keyword, a detailed SERP analysis, and so much more.
Note: If all of these technical details sound overwhelming, don’t worry. We provide a step-by-step guide to using our tool and deciphering metrics in a later section.
Since many SEO keyword research tools feature limited credits, consider saving your findings in a spreadsheet so you don’t have to perform another search and use another credit. There may also be an export option, allowing you to download insights for later reference.
Another critical step in choosing appropriate keywords is evaluating search intent.
There are four primary types of search intent, as described in the table below.
Matching your keywords to their corresponding search intent is essential. Doing so will inform both your individual content briefs and broader content strategy. It also helps you develop a well-rounded selection of content that touches on all the critical aspects of your marketing funnel.
There are short-tail keywords and long-tail keywords.
Short-tail keywords are short, broad search terms with high search volume and high competition. Seed keywords are a great example of short-tail keywords.
Long-tail keywords are more specific—usually four or more words—and they target a narrower audience. They typically have lower search volume but also lower competition.
Pro Tip: Besides being easier to rank, long-tail keywords are often better at converting visitors. That’s because they’re highly targeted, making it easier to solve the searcher’s specific problem.
Here are some examples of short-tail keywords vs. long-tail keywords:
Long-tail keywords are the hidden gems of SEO. Since they typically have less competition, long-tail keywords require less time and fewer resources to start gaining traction. This makes them especially ideal for new sites still in the sandbox, helping you drum up traffic and gain topical authority within your niche.
Most keyword research tools provide a keyword difficulty (KD) metric, providing insight into how difficult it is to rank an article written about a topic.
In general, you’ll want to start new campaigns by targeting lower difficulty keywords. These are usually quick and easy to rank, providing initial traffic and a foundation for targeting those higher difficulty keywords later on.
Here’s a look at a standard metric system for determining keyword difficulty:
Search Engine Land has teamed up with Semrush to provide a free keyword research tool, including all the data you need to make wise decisions about your SEO strategy.
To begin using this keyword research tool, open a new tab and head to the keyword research tool landing page (or just scroll to the top of this page).
Now, let’s say our seed keyword is “WordPress plugins.” You’ll want to enter this term into the search box and click the green “Find Keywords” button.
Once the keyword research tool has processed your request, you’ll receive a results page that looks like this:
The first row includes the seed keyword you searched for, and the rows beneath consist of keywords related to that topic.
Within the columns, you’ll see several metrics, including volume, KD %, CPC, number of results, and search trend.
What does each metric mean? Let’s break it down:
Want more information? Simply click on one of the keywords to jump straight over to Semrush’s complete keyword overview (a free trial may be required to view all of the metrics and data).
For this example, we chose to learn more about the keyword “best social media plugin for WordPress.”
According to the analysis, we can see all of the same metrics encountered in our previous search results, alongside new information. The exact KD is 28%, meaning it should be reasonably easy to rank. US search volume for this keyword is 70, but it has a monthly global search volume of 750! We can also see that the search intent is commercial, and there’s reasonable ad competition.
If you keep scrolling, you’ll find additional keyword ideas, a breakdown of the SERPs based on page and domain authority, and ad creatives highlighting active campaigns and historical data.
Now that you’ve gathered and analyzed your keyword data, it’s time to put your insights to work. This step focuses on turning raw keyword research into actionable SEO strategies.
Look through your list of keywords and identify those that best match your niche and marketing strategy. Remember that most marketers will want to focus primarily on long-tail keywords with lower competition and higher volume, especially when starting out.
Pro tip: Many of the most successful SEO campaigns consider all types of search intent, supporting visitors at every stage of the marketing funnel and securing the website’s position as an authority.
As you’re going through your keywords, do any of them seem similar to each other? Perhaps too similar to merit separate articles? 
That’s where primary and secondary keywords come in.
A primary keyword is the main search term you want an article to rank for in search engines. It guides your page’s content, structure, and optimization strategy. Secondary keywords are similar and related terms that complement the primary keyword, adding context and broadening the page’s reach.
Here are a few examples of primary and secondary keywords:
How should you add keywords to your articles? Generally speaking, you’ll want to incorporate the primary keyword into each of the following areas:
For your secondary keywords, sprinkle them throughout your content, including within the headings, once or twice for each keyword. Be sure to fold your keywords in naturally, as you want to maintain a natural reading experience for your audience.
The best keyword research tools can inundate you with a ton of information. While each piece of information can be helpful in certain situations, pay extra attention to the following metrics.
Creating content is difficult and time-consuming. You don’t want to waste time crafting perfect articles if they won’t attract readers. That’s why search volume is such an important metric.
Search volume is a good indicator of keyword popularity, giving you accurate information about how many times a keyword is searched per month.
Now, that doesn’t mean you should only write about high-volume keywords. The lower-volume keywords (e.g., under 50 searches per month) are often much less competitive, and you can use these to drum up quick traffic on a new website.
Even if a keyword shows zero traffic, that doesn’t automatically mean you should pass it up. Keywords with “zero” search volume might still get a few monthly searches, and search engines may still show this content to searchers with related queries.
KD measures how difficult it will be to rank a keyword within the first pages of the SERPs. Most keyword research tools base this data on the PageRank and domain authority score of the current top results, so it’s one of the most timely and reliable metrics.
If you’re just starting or working with a newer site, targeting high-difficulty keywords is often frustrating and unproductive. Instead, focus on keywords with lower difficulty scores, especially early on. Ranking for these is a more realistic short- to medium-term goal and can provide quick wins and motivation early on.
This doesn’t mean you should ignore competitive keywords altogether. But it’s smart to balance your strategy, mixing in lower-difficulty terms where you have a realistic chance of ranking in the near future.
In this article, we’ve focused primarily on SEO and only mentioned paid advertising in passing. That’s because the official Google Keyword Planner is an excellent starting point for conducting paid advertising keyword research. However, Google does omit a trove of valuable data that is present in our tool.
What extra data can you find in our research tool?
If you click on a keyword to see its complete overview, you’ll find the Competitive Density rating: a precision indicator of competition within Google Ads. You’ll also see competitor information and details on their ads for this keyword. Combine these insights with the Keyword Ad History widget, and use it to optimize your creatives and campaign strategy.
Remember the fidget spinner craze of 2017 or the NFT boom of the early 2020s? Trends come and go, and it’s important to keep this in mind as you develop your content.
Does that mean you should overlook writing about trending content? On the contrary, this can be an incredible source of traffic and income during a spike. But—depending on your industry—you’ll probably want to balance trending articles with evergreen content that tends to hold its value. 
To facilitate this process, our keyword research tool contains a search graph showing popularity over time. Try combining this data with information from Google Trends to keep a finger on the pulse within your niche.
There are countless benefits to using a keyword research tool in your digital marketing endeavors. Let’s discuss a few of the most persuasive examples:
Here are a few of the most common mistakes marketers make when conducting keyword research, as well as advice on avoiding those same traps:
Different types of search intent hold different values. 
Informational keywords tend to see higher search volume than their counterparts, providing an excellent source of traffic and attracting backlinks from authoritative websites. As a result, many marketers focus exclusively on this type of content when beginning an SEO campaign. But that’s only half the picture.
It’s true that commercial and transactional keywords often have lower search volume. But they’re also much more lucrative. That’s because the searcher is closer to making a decision, leading to direct sales or commissions and earning more money per visitor.
Have you ever heard the advice, “diversify your portfolio?” It’s the same for your content. Many of the most successful marketers target high- and low-volume keywords with various intents. This allows them to capture all levels of the marketing funnel, increase their traffic while still earning sales, and boost the authority of their website.
We keep returning to the topic of long-tail keywords because we can’t stress the point enough: They are the foundation of nearly every successful site on the web!
Remember, long-tail keywords are like buried treasure. It takes time to dig through broader keywords to find them, but the potential upside is well worth the effort. 
Long-tail keywords are easier to rank for and can provide a much better conversion rate compared to short-tail keywords, making them the perfect addition to any content strategy.
Keyword data isn’t static. Search demand often shifts based on the time of year, current events, and even differences in regional terminology. Ignoring these trends can lead to publishing the right content at the wrong time. Or worse, targeting keywords that don’t resonate with your target audience.
For example, every holiday season sees a spike in searches for “gift ideas,” while terms like “tax filing deadline” peak early in the year. Likewise, a term like “sneakers” might dominate US search traffic, but “trainers” is much more common in the UK. 
Understanding these patterns allows you to plan content ahead of demand, target the right audience more precisely, and avoid wasting effort on content that falls flat due to timing or a mismatch in language.
Semantic SEO may be on the rise, but keyword research remains as integral a part of SEO as ever. Use the keyword research process to discover new topics, plan your content calendar, and create optimized articles that are sure to gain traction in the SERPs.
Our free keyword research tool is an excellent starting point on this journey, providing everything you need to make reliable and informed decisions about how to grow your traffic and brand. When you’re ready, it also includes a paid suite of powerful features used by professionals across the industry. Join the experts, and give it a risk-free try today.
Get the newsletter search marketers rely on.
Topics
Our events
Semrush
About
Follow us
© 2025 Search Engine Land is a Trademark of Semrush Inc.
Third Door Media operates business-to-business media properties and produces events, including SMX. It is the publisher of Search Engine Land, the leading digital publication covering the latest search engine optimization (SEO) and pay-per-click (PPC) marketing news, trends and advice. The company headquarters is 800 Boylston Street, Suite 2475, Boston, MA USA 02199.

source

Google launches enhanced measurement tools for iOS app campaigns – PPC Land

Google announces three iOS app campaign updates on August 14, including Target ROAS bidding and expanded on-device measurement capabilities.
Google released three major enhancements for iOS app campaigns on August 14, 2025, introducing new ad formats, AI-powered tools, and privacy-centric measurement capabilities. The updates address mounting challenges advertisers face with iOS user engagement, particularly as App Store consumer spending increased 24% year-over-year according to app intelligence firm Appfigures. The announcement emphasizes the growing importance of iOS user acquisition in mobile marketing strategies.
Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year.
The first update expands ad format options across YouTube platforms to capture additional iOS user segments. According to Google’s data, 83% of global consumers use Google and YouTube daily, creating substantial reach opportunities for app marketers. YouTube Shorts specifically presents unique audience access, with research showing 45% of Shorts viewers in the United States do not use TikTok, while 65% avoid Instagram Reels.
Co-branded partnership ad formats now extend to App campaigns through YouTube’s BrandConnect program. These advertisements combine brand messaging with YouTube creator content on in-feed and Shorts placements, offering what the company describes as “a more visually engaging and authentic ad experience.” The format leverages creator partnerships to improve campaign performance through authentic content integration.
Additionally, playable ad formats gain new implementation options as end cards following video advertisements on select AdMob inventory. This interactive format encourages viewer engagement through hands-on app experiences before installation decisions. The placement strategy aims to capture user attention during peak engagement moments following video content consumption.
Follow on Google, Google News, X, LinkedIn, Mastodon, Bluesky, Facebook, or via RSS
Target ROAS bidding becomes available for iOS App campaigns, marking a significant expansion of value-based optimization options. This bidding strategy utilizes artificial intelligence to predict conversion values and adjust bids automatically to maximize return on advertising spend. Early implementation results demonstrate measurable performance improvements, with Uatas, an Indonesia-based lending application, achieving a 7% ROAS increase compared to historical iOS campaign performance.
The bidding enhancement represents part of broader AI integration across App campaign management. Maximize conversion bidding strategies now support in-app action optimization and return on ad spend targets, enabling automated bid management to achieve maximum conversion volume within daily budget constraints. These strategies eliminate manual bid adjustment requirements while leveraging machine learning for real-time optimization.
Video enhancement capabilities utilize advanced AI models to automatically adapt existing creative assets for different screen sizes and ad placements. The system can intelligently extend videos beyond original frames or create orientation variations while preserving essential visual content. This automation eliminates the need for manual creative development across YouTube’s diverse ad format requirements.
The third major update introduces expanded on-device conversion measurement using de-identified app event data. This solution addresses iOS measurement limitations while maintaining strict privacy protections through local data processing that prevents user-identifying information from leaving individual devices.
The expanded measurement capability operates alongside existing first-party data solutions to provide comprehensive attribution options. Device signals and timestamps generate conversion insights without compromising user privacy, addressing regulatory requirements while enabling campaign optimization. According to the technical specifications, data processing occurs entirely on-device with no external disclosure, including to Google.
Integrated Conversion Measurement (ICM) provides enhanced attribution accuracy within third-party App Attribution Partner reporting interfaces. This protocol addresses long-standing discrepancies between Google Ads data and external measurement platforms through real-time, comprehensive conversion attribution. Codeway, an AI-powered consumer app publisher, reported 6X install increases and 80% lower cost per install in App Attribution Partner reporting after implementing ICM solutions.
Buy ads on PPC Land. PPC Land has standard and native ad formats via major DSPs and ad platforms like Google Ads. Via an auction CPM, you can reach industry professionals.
Each App Attribution Partner maintains distinct technical specifications for optimal integration. Adjust implementations require “Probabilistic Modeling” activation and 24-hour attribution windows instead of the default 6-hour setting. The system demands specific SDK versions, including iOS SDK 5.4.1 with Adjust ODM plugin functionality.
Airbridge configurations center on “Lookback Window for Probabilistic Modeling Matching” set to 24 hours or longer, maintaining the default setting. iOS compatibility requires SDK version 4.4.1 or higher, while Android maintains universal compatibility. Both platforms must implement either Firebase iOS SDK 11.14.0 or on-device conversion standalone SDK for full functionality.
AppsFlyer integrations necessitate enabling “Advanced Data Sharing” for Google Ads, which remains disabled by default. The platform requires iOS SDK 6.17.1 or later for compatibility while maintaining universal Android support. Similar to other partners, either Firebase iOS SDK 11.14.0 or standalone conversion SDK implementation becomes mandatory.
Branch configurations require “Integrated Conversion Measurement” activation, enabled by default, with Attribution Windows for Click To Install set to 24 hours minimum instead of the 7-day default. iOS compatibility demands SDK version 3.11.0 or higher, while Android maintains universal support.
European Economic Area user consent handling creates additional technical requirements across all App Attribution Partner implementations. Each platform must capture consent status before transmitting SDK data to ensure regulatory compliance.
Adjust implementations require “addGranularOption” activation for third-party sharing, with delayed data transmission until consent capture completion. Android requires Adjust.setOfflineMode method implementation, while iOS demands either setOfflineMode, requestTrackingAuthorizationWithCompletionHandler, or requestTrackingAuthorization methods.
AppsFlyer configurations must implement delayed SDK initialization or data transmission through the start method on Android, or either start or waitForATTUserAuthorization methods on iOS. Branch requires expectDelayedSessionInitialization() for Android and didFinishLaunchingWithOptions for iOS implementations.
Server-to-server integration options provide alternative implementation paths for each attribution partner. Adjust offers S2S API integration while requiring SDK configuration for session_start conversion events. Airbridge, AppsFlyer, Branch, Kochava, Singular, and Tenjin each maintain distinct S2S API requirements with specific field implementations for proper attribution functionality.
The measurement updates coincide with expanded bidding strategy options for App campaigns. Target ROAS bidding becomes available for iOS campaigns, joining existing Target CPA and Maximize conversions strategies. The documentation outlines specific implementation requirements for each bidding approach.
Target cost per install (tCPI) implementations require specific user targeting selections. Advertisers can choose between “All users” for maximum install volume or “Users likely to perform an in-app action” for higher-value installs. The latter option demands bids “20% higher than baseline tCPI bids” while iOS campaigns require “1.5 times higher than Android” across all targeting approaches.
Target cost per action (tCPA) configurations focus on users most likely to complete in-app actions after installation. The system recommends against selecting multiple actions to avoid creating “blended targets” for different value events. iOS implementations maintain the 1.5x multiplier requirement compared to Android campaigns.
Maximize conversions options split between install-focused and in-app action-focused strategies. The install variant prioritizes maximum conversion volume within daily budget constraints, while the in-app action variant targets users most likely to complete valuable post-install actions.
New video enhancement features automatically generate multiple video versions from original creative assets. The system creates square and vertical versions from horizontal videos while preserving original content through artificial intelligence processing.
Two distinct models handle video transformation. Model 1 intelligently flips or extends videos into new aspect ratios, while Model 2 utilizes generative AI to extend original videos beyond their initial boundaries. Both models undergo quality review processes before automatic deployment in campaigns.
Campaign type availability varies significantly. App campaigns support both models but lack shorter version generation. Performance Max campaigns offer different orientations and shorter versions through campaign-level controls. Video action campaigns provide campaign-level orientation options without shorter versions.
Demand Gen campaigns support both models with ad-level controls for orientation and length modifications. Video views and Video reach campaigns maintain ad-level controls for orientation changes without shorter version capabilities.
Interactive HTML5 and playable asset support expands across App campaign formats to capture user attention through interactive experiences. These assets must meet specific technical requirements including responsive design for full-screen display across various device sizes.
File upload limitations restrict assets to ZIP format with 5MB maximum size and 512 file count limits. Each ad group supports up to 20 ZIP files with UTF-8 encoding requirements for non-ASCII characters. Sound and video capabilities now function within HTML5 assets, though sound activation requires user interaction compliance.
Measurement methodology shifts for HTML5 assets from traditional click-based billing to cost per engagement (CPE) models. Engagements count when users interact with or click playable ads for the first time. Conversions track app installations within 30-day windows following initial engagement events.
Google Web Designer integration provides additional creation options for advertisers preferring structured development environments. The platform supports specific components including Swipeable Gallery, Carousel Gallery, 360-degree Gallery, Gallery Navigation, Image Button, and Spritesheet functionality while maintaining Google Ads environment compatibility.
BrandConnect-powered partnership advertising allows brands to incorporate YouTube creator videos into App campaign strategies. The system enables organic creator video usage across all Google Ads campaign types while providing access to organic viewership data for audience optimization.
Co-branded partnership ad formats become available for Demand Gen campaigns on In-Feed and Shorts placements. App campaigns gain iOS-specific co-branded format support, while Performance Max campaigns maintain standard creator video integration without co-branded options.
Feature availability charts demonstrate varying capabilities across campaign types. Video action, Demand Gen, Video reach, and Video view campaigns support organic creator videos with co-branded formatting options. App and Performance Max campaigns maintain organic video support with different feature sets and targeting capabilities.
The system requires explicit creator video linking to Google Ads accounts before campaign integration. This process enables video usage in advertisements, provides audience data access, and delivers organic viewership metrics for optimization purposes. Advertisers maintain responsibility for securing sufficient usage rights through separate creator agreements.
Implementation complexity varies substantially across different measurement solutions. SDK-based integrations require careful version management, with some partners demanding specific minimum versions while others maintain universal compatibility.
For iOS implementations, Firebase SDK 11.14.0 becomes mandatory across most attribution partners, except where on-device conversion standalone SDK provides alternative integration paths. Android implementations generally maintain broader compatibility with fewer version restrictions.
Consent management implementations demand platform-specific approaches. Android solutions typically involve SDK offline mode activation until consent capture completion, while iOS requires tracking authorization method implementations that vary by attribution partner.
Server-to-server configurations provide enterprise-level alternatives with distinct field requirements. Android implementations must pass install_referrer_extras for install attribution, while engagement tracking requires android_app_link_url field passage. iOS engagement tracking demands universal_link_url field implementation for proper attribution functionality.
The measurement landscape continues expanding as privacy regulations increase attribution complexity. These enhanced tools provide marketers with sophisticated tracking capabilities while maintaining compliance with evolving privacy frameworks that govern digital advertising measurement.
Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year.
Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year.
App Attribution Partners (AAP): Third-party mobile measurement companies certified by Google to provide analytics for app campaigns. These partners include Adjust, Airbridge, AppsFlyer, Branch, Kochava, Singular, and Tenjin, each offering specialized tracking capabilities for iOS and Android applications. The partnership program ensures access to standardized measurement tools while reducing reporting discrepancies between Google Ads and external analytics platforms.
SDK (Software Development Kit): Programming libraries that developers integrate into mobile applications to enable tracking and measurement functionality. Each App Attribution Partner requires specific SDK versions for compatibility, with requirements varying between iOS and Android platforms. SDK implementation determines the technical foundation for conversion tracking, user consent management, and attribution accuracy across different mobile operating systems.
iOS: Apple’s mobile operating system that presents unique measurement challenges due to privacy-focused policies introduced with iOS 14.5. The platform requires specialized tracking approaches including gbraid parameters, App Tracking Transparency compliance, and on-device measurement solutions. iOS campaigns typically demand higher bid multipliers compared to Android due to measurement limitations and user acquisition costs in Apple’s ecosystem.
Conversion Measurement: The technical process of attributing valuable user actions back to specific advertising interactions across digital touchpoints. This encompasses app installations, in-app purchases, user registrations, and other business-critical events that marketers use to evaluate campaign effectiveness. Modern conversion measurement must balance attribution accuracy with privacy compliance requirements imposed by platform policies and regulatory frameworks.
Attribution: The methodology for determining which advertising interactions receive credit for driving conversions throughout complex user journeys. Attribution models assign value to different touchpoints, with approaches ranging from last-click attribution that credits final interactions to more sophisticated models that distribute credit across multiple campaign exposures. Accurate attribution enables optimized budget allocation and campaign performance assessment.
Firebase SDK: Google’s comprehensive mobile development platform that provides analytics, measurement, and app development tools. Version 11.14.0, released in June 2025, introduced enhanced on-device conversion measurement capabilities for iOS applications. Firebase integration serves as the technical foundation for Google’s app measurement solutions, enabling real-time data processing while maintaining user privacy protections.
Target ROAS (Return on Ad Spend): An automated bidding strategy that optimizes campaign bids to achieve specific revenue targets relative to advertising costs. The strategy analyzes conversion values and adjusts maximum cost-per-click bids to maximize conversion value while maintaining predetermined return thresholds. Target ROAS bidding requires sufficient conversion history and accurate value tracking to function effectively across campaign optimization cycles.
Integrated Conversion Measurement (ICM): A new protocol that provides enhanced attribution accuracy within third-party App Attribution Partner reporting interfaces. The system addresses discrepancies between Google Ads data and external measurement platforms by offering real-time, comprehensive conversion attribution across iOS and Android devices. ICM implementation improves decision-making capabilities through more accurate performance visibility and cross-platform attribution consistency.
On-device Measurement: Privacy-preserving technology that processes conversion data locally on user devices without transmitting identifiable information to external parties. The system utilizes device signals and timestamps to improve campaign optimization while ensuring user-identifying data never leaves individual devices. This approach addresses iOS privacy requirements while providing marketers with actionable performance insights for campaign optimization.
European Economic Area (EEA): The regulatory region encompassing European Union member states plus Iceland, Liechtenstein, and Norway, where enhanced privacy protections affect digital advertising measurement. EEA users require explicit consent for data processing, creating additional technical implementation requirements for App Attribution Partners. The region’s privacy framework influences SDK implementation approaches and excludes certain on-device measurement features from activation.
Subscribe PPC Land newsletter ✉️ for similar stories like this one. Receive the news every day in your inbox. Free of ads. 10 USD per year.
Who: Google Ads product team led by Kamal Janardhan, targeting mobile app advertisers and marketing professionals using iOS campaigns with App Attribution Partners including Adjust, Airbridge, AppsFlyer, Branch, Kochava, Singular, and Tenjin.
What: Four major measurement enhancements including streamlined App Attribution Partner integrations, expanded on-device conversion measurement using de-identified event data, Integrated Conversion Measurement for third-party reporting accuracy, and enhanced video creative optimization tools.
When: Announced May 2, 2025, with gradual rollout beginning immediately and continuing through 2025, including Google Analytics for Firebase SDK 11.14.0 availability in June 2025 and API dual identifier support launching October 3, 2025.
Where: Global implementation across Google Ads platform affecting iOS app campaigns, with European Economic Area, United Kingdom, and Switzerland excluded from on-device measurement features due to regulatory compliance requirements.
Why: Platform and regulatory changes have complicated App campaign performance measurement, creating attribution gaps between Google Ads and third-party reporting platforms that hindered optimization efforts and return on ad spend calculations for mobile app advertisers.

source

Is Your SEO Strategy Ready for the AI Search Engine Takeover? Act Now — or Risk Getting Left Behind. – MSN

source

Veo3 Blogger: A Realistic Look at the Next Generation of AI Content Creation – Vocal

Veo3 Blogger: A Realistic Look at the Next Generation of AI Content Creation  Vocal
source

Google Updates JavaScript Paywall Guidelines for SEO Optimization – WebProNews

In the evolving world of digital publishing, where content monetization clashes with search engine visibility, Google has recently updated its guidelines to address a persistent challenge: JavaScript-based paywalls. These dynamic barriers, which restrict access to premium content unless users subscribe or pay, have long posed dilemmas for publishers aiming to balance revenue generation with organic traffic. According to a recent post on Search Engine Roundtable, Google now explicitly advises on how to implement these paywalls without derailing search rankings, emphasizing the need for crawlers to access content effectively.
This guidance comes amid broader concerns about how paywalls affect SEO. Publishers have reported traffic dips when paywalls obscure content from Google’s bots, potentially leading to lower rankings. The update highlights that JavaScript-reliant paywalls can prevent proper indexing if not handled correctly, as bots may not execute the scripts needed to reveal the full article.
Navigating SEO Risks with Structured Data
To mitigate these issues, Google recommends using structured data markup for subscription and paywalled content, as detailed in its developer documentation on Google Search Central. This markup allows publishers to signal to Google that content is behind a paywall while still providing enough information for indexing and snippet generation. Industry experts note that without this, sites risk being penalized in search results, especially following updates like the August 2025 Helpful Content Update, which prioritizes user-centric experiences, per insights from Black Bear Media.
Posts on X (formerly Twitter) from SEO professionals underscore the urgency, with users like Barry Schwartz highlighting Google’s new advice on JavaScript paywalls, warning that improper implementation could lead to “Google Zero” scenarios where traffic plummets. This sentiment echoes broader discussions on the platform, where publishers lament AI-driven overviews reducing clicks to original content by up to 10% year-over-year in markets like the UK and US.
Balancing Monetization and Accessibility
Beyond SEO, JavaScript-based paywalls raise questions about digital content accessibility. While they enable publishers to monetize high-quality journalism, they can inadvertently exclude users who bypass them through tools like VPNs or extensions, as outlined in a 2025 guide from All About Cookies. This cat-and-mouse game not only affects user experience but also influences how Google evaluates site authority, a factor confirmed in leaked internal documents analyzed by SEO consultant Aleyda Solis on X.
Experts from Poool’s blog suggest best practices like allowing a metered number of free views or using soft paywalls that reveal partial content. These strategies help maintain search visibility while driving subscriptions, aligning with Google’s push for accessible web experiences in its 2025 algorithm updates, as reported by LogiDuck.
Implications for Publishers in 2025
As paywalls become more sophisticated, their JavaScript foundations demand careful optimization. A report from State of Digital Publishing warns that without a solid SEO strategy, publishers risk diminished discoverability and conversion rates. This is particularly critical in an era where Core Web Vitals, including page speed impacted by paywall scripts, factor into rankings, per Subscription Publishing Toolkit.
Looking ahead, the integration of AI in search, as discussed in recent X threads, could amplify these effects. Publishers must adapt by ensuring JavaScript paywalls are bot-friendly, perhaps by server-side rendering or alternative content delivery methods. Insights from SEO for Google News by Barry Adams emphasize that while paywalls are essential for revenue, mishandling them invites SEO pitfalls. Ultimately, Google’s latest guidance serves as a roadmap for publishers to thrive without sacrificing visibility or accessibility in the competitive digital arena.
Subscribe for Updates
Search engine news, tips, and updates for the search professional.
Help us improve our content by reporting any issues you find.
Get the free daily newsletter read by decision makers
Get our media kit
Deliver your marketing message directly to decision makers.

source

How AI is Revolutionizing Backlink Building and SEO Strategies in 2025 – Siliconindia

Introduction: The AI-SEO Shift in 2025
As we navigate 2025, it is not just automation but artificial intelligence that will be seen as a very important factor for making key decisions in SEO. The evolution started off from simple tools that could enhance task efficiency into complex systems that are capable of predicting changes, offering customized services while at the same time encouraging development which can be upheld over a long period.
A Recent report from Superlinks shows that 47.33% SEO specialists have an intention of incorporating AI into their link-building process and another report by SEOClarity shows that about 86% already use it for automation hence saving up to three-quarters of their total working hours and most importantly getting 65% better results.
With over 45 billion searches each day on various platforms across the globe, SEO now inclines towards “search everywhere optimization” such as Google, ChatGPT, YouTube, or even Reddit based on available information. Due to this, businesses are turning towards specialized SEO services in India that can offer them customized solutions that mix technology and local knowledge effectively.
AI in Backlink Building: Smarter, Faster, Scalable
Backlink building is being transformed by AI tools that analyse competitor profiles, forecast link worth as well and effectively scale the efforts. Machine learning is able to identify some of the best high authority backlinks from loads of data across the web and such links are evaluated in terms of domain authority, relevance and toxicity as ranking factors. With the help of tools like Ahrefs, SEMrush Link Building Tool and LinkHunter, you can find sites that have a DA 50+ because they experience a higher percentage of success rate estimated at 40%.
Example: a SaaS business witnessed an increase of 15% in traffic after receiving over 200 weekly backlinks through AI automation. These can be managed easily even by small teams thanks to scalability; however, hybrid models, that is 80% tasks done by artificial intelligence and 20% by humans, guarantee better outcomes. Choose an experienced backlink building service provider that can integrate artificial intelligence into its strategies.
AI Tool
Function
Benefits
Example Use
Ahrefs
Competitor analysis, toxic link detection
Scales identification, predicts value
Targeting DA 50+ sites
SEMrush
Outreach automation, tracking
37% higher responses, real-time monitoring
Guest post emails
LinkHunter
Opportunity scouting, quality assessment
Identifies gaps, mitigates risks
Simulating impacts
Surfer SEO
Content-link synergy
Boosts natural links
Optimizing for attraction
MarketMuse
Pattern detection
Data-driven targeting
Competitor gap analysis
 
 
 
 
 
 
 
 
 
 
 
Personalized Outreach with AI: Beyond Templates
AI's usage of NLP and behavioral data is highly essential since it helps make emails that are incredibly personal. A report by All About AI says that the use of AI has helped raise the response rate by 37% and the placement rate by 28%. For instance, technologies like ChatGPT with WebPilot can make messages that are particular to a certain context. These messages might be used to turn brand mentions that aren't linked into inbound links when they are used in guest blogs or podcast mentions.
Fixing Broken Links with Intelligence
In the past, people used to manually scan websites and then look for a way to repair any broken links, although this was not always effective. With AI, dead links can be detected and appropriate ones recommended based on NLP analysis. Tools like Ahrefs or SEMrush can identify problems immediately, reducing monitoring time and preventing traffic loss. AI easily copes with large amounts of work unlike humans; it flags toxic links calling for action while at the same time enhancing the website’s trustworthiness through relevant link-building approaches.

AI-Powered Content Optimization for Link Attraction
Artificial Intelligence is used in optimizing content so that it can naturally attract links, through assessing structure, keyword integration and relevance. With several of the new web pages having AI improvements, tools such as Surfer SEO or MarketMuse employ AI to come up with drafts that are able to secure backlinks by providing value. The scoring mechanisms assess how easy a text is understood by humans and to what extent it follows a given purpose; special attention is paid to infographics or videos, which have become more link-friendly than before. This represents a move towards earned links over forced ones, with an increased ROI.
Keyword Research: From Guesswork to Precision
Keyword research has been completely changed by AI through its ability to predict the future, identify patterns and understand user intent at a much higher level. Unlike manual tools, AI can interpret the semantics of both textual and voice data in every search engine. When using SEMrush or Ahrefs, you will see some dashboards having predictive charts about trends, competition as well as volume. Now picture an elegant UI including some filters where one can choose between informational or transactional types of intent followed by immediate refreshes. As a result, guesses are minimized and this has led to increased rankings within a short span.
UX-Driven SEO: AI's Role in User-Centric Rankings
User experience factors such as dwell time, bounce rates, and CTR are evaluated by AI in order to recommend improvements that are in line with the user-centric algorithms. Artificial intelligence also recommends some design changes for improving engagement based on behavioral information analysis; this has been seen to improve scalability among users. This holistic approach goes further than just keywords in improving ranking.
Predictive Content and Personalization at Scale
Predictive analytics are used by AI to personalize content through custom digital paths. Through the use of workflows, these tools create over two hundred pages on a daily basis; they concentrate more on multimodal forms meant for AI platforms that are accessed by two billion people. By doing this, it is possible to scale up engagement without forgetting about homogenizing hazards.
Staying Ahead of Search Algorithm Changes
The quick adjustments are possible with AI that can swiftly interpret updates similar to Google’s RankBrain or Helpful Content. These predictive tools keep track of any changes and therefore ensure that the ranking is maintained even in zero-click environments.
Future-Proofing SEO with AI Skills
Here is a simple plan: Learn the fundamentals (ChatGPT), move on to data analysis (Ahrefs), and finally study ethical AI (GEO/AEO). Work with AI SEO specialists such as Supramind Digital to get effective services from experienced professionals.

Summary: Key Takeaways
Frequently Asked Questions
Q: Can AI completely automate link building in 2025?
A: Hybrid models yield the best results since AI is responsible for most activities such as prospecting. There is a need for human oversight on matters relating to ethics and client relationships to avoid penalties.
Q: What are the best AI-powered tools for SEO in 2025?
A: Some of the top tools are Ahrefs used in analysis, SEMrush in outreach, ChatGPT in content creation, Surfer SEO for optimization and MarketMuse for patterns
Q: How does AI improve the success rate of backlink outreach?
A: By using NLP, AI creates personalized emails that receive many responses and placements because they are based on data-driven templates and behavioral insights.
Q: Is AI-generated content safe for SEO and Google compliance?
A: Certainly, it should be original and add value after passing through the quality control test; also comply with the new Helpful Content algorithm updates by focusing on human-edited work not just pure AI.
Q: How can small businesses leverage AI for affordable SEO success?
A: For scalability at no cost use free tools like ChatGPT for reaching out and HARO for high DR links; automate common tasks.
Read More News :
India’s Ex-RBI Governor Urjit Patel Steps into IMF Leadership
Markets Eye Fresh Triggers After Two-Day Fall
© 2025 siliconindia.com All rights reserved.Attorneys Near Me | Attorneys

source

Google Play Store is making the move to your Pixel 10 a bit less chaotic – Android Authority

Affiliate links on Android Authority may earn us a commission. Learn more.
51 minutes ago

If you’ve just picked up a new Pixel 10 or any other Android phone, you’ll know the chaos of transferring everything from your old handset. Restoring dozens or hundreds of apps through the Play Store can mean they end up jumbled together with app updates, making it hard to see what’s what as you set up your new device. But it seems that might be getting easier.
Don’t want to miss the best from Android Authority?
As spotted by Artem Russakovskii on X, the Play Store’s Downloads list is now split into two sections: “From previous device” and “Updates.” He noticed the change while restoring nearly 400 apps on his new Pixel 10 Pro XL, but it appears to be a Play Store tweak rather than a Pixel-specific feature.
The screenshot he shared shows the two categories stacked in the Play Store Downloads tab, with the restore queue separated from the updates list. The observation was part of a longer thread as Russakovskii’s set up his new Pixel, noting also that it hit over 100 degrees during the process.
Google often introduces Play Store changes to little fanfare, like the app auto-open feature that started reaching phones earlier this week. This small tweak could make the transition to a new phone ever so slightly less overwhelming.
Thank you for being part of our community. Read our Comment Policy before posting.

source

Netflix Lays Out Guidance for Using Generative AI in Content Production – TVTechnology

Netflix Lays Out Guidance for Using Generative AI in Content Production  TVTechnology
source

W3era Launches Its Repositioning as a Search Engine Marketing Powerhouse for Global Brands – GlobeNewswire

 | Source: W3era W3era
Jaipur, Rajasthan, Aug. 25, 2025 (GLOBE NEWSWIRE) — W3era, a leading name in digital marketing, has unveiled its redefined brand focus as a performance-first Search Engine Marketing (SEM) agency, specializing in SEO and Google Ads solutions for global businesses. This strategic repositioning reflects the company’s long-standing commitment to delivering measurable ROI through smarter, more integrated search campaigns.

After helping over 10,000 clients scale their digital presence since 2008, W3era is now doubling down on the one channel that consistently delivers Search.
“In today’s landscape, visibility without results is not enough. We exist to drive performance, and that means blending the best of organic and paid search strategies,” said Vikash Bharia, Head of Digital Marketing.
Why the Shift to Performance-Driven SEM?
The marketing world is no longer about choosing between SEO or PPC. W3era has recognized the need to unify them. This transition allows businesses to tap into complete search visibility, from top rankings to top ad spots.
Key Focus Areas:
SEO Services in the USA
To strengthen its global footprint, W3era is now extending specialized SEO services for businesses in the USA. With proven expertise in local SEO, enterprise SEO, and technical SEO, the agency helps American brands capture top search rankings and convert visibility into measurable growth. From keyword research tailored to U.S. markets to Google Ads campaigns optimized for higher ROI, W3era ensures that businesses can compete effectively in one of the world’s most competitive digital landscapes.
Meet WRanker: W3era’s Free SEO Toolkit
As part of the rebrand, W3era introduces WRanker, a powerful set of SEO tools designed to simplify optimization for marketers, agencies, and business owners. The toolset includes:
USP: One dashboard. Real-time metrics. Zero cost.
“WRanker was born from our internal SEO needs. Today, it serves thousands of users with clarity, convenience, and cost-efficiency,” added Ashwini Rao.
Real Results, Real Clients
W3era’s clients have seen dramatic results:
Recognized by the Industry
W3era is not just a service provider—it’s a trusted partner. The agency has been recognized with awards such as:
Certified with:

About W3era
W3era is a performance-driven SEM agency based in India, serving clients worldwide with scalable strategies in SEO and PPC. With a team of 150+ experts, W3era simplifies search marketing for SMBs, enterprises, and startups alike.

Website: www.w3era.com
Email: sales@w3era.com
Phone: +91-7073-197-281
Press Contact: Ashwini Rao

source