Sunday, June 30, 2024
Aviation Minister Reviews Operations At Delhi Airport After Roof Collapse
Case Against Maharashtra Man For Raping Woman, Trying To Sell Her Kidney
UP Man Rapes 12-Year-Old Daughter For 3 Months, Arrested
"Water Supply To Be Normal Soon": Atishi Inspects Water Treatment Plant
Saturday, June 29, 2024
Delhi Braces For More Rain After 11 Dead, Records Broken By Monsoon Entry
15-Year-Old Girl Dies In Maharashtra Hostel, Family Demands 2nd Autopsy
11 Dead In 2 Days After Heavy Rain Batters Delhi, 'Orange Alert' Issued
Friday, June 28, 2024
Labourer's Body Found In Debris, 2 More Trapped In Delhi Wall Collapse
Delhi Rains: Over 300 Complaints Regarding Waterlogging Issues Received
Microsoft AI CEO: Web content is ‘freeware’
Microsoft’s AI CEO Mustafa Suleyman believes most web content is “freeware’ that can be used for training AI models. The only exception: websites that explicitly opt out.
Freeware is any form of copyrighted software that can be freely downloaded, installed and used by end users.
The quote. Here’s what Suleyman told CNBC’s Andrew Ross Sorkin at the Aspen Ideas Festival:
- “…With respect to content that is already on the open web, the social contract of that content since the ’90s has been that it is fair use. Anyone can copy it, recreate with it, reproduce with it. That has been freeware, if you like. That’s been the understanding.
- “There’s a separate category where a website or a publisher or a news organization had explicitly said, ‘do not scrape or crawl me for any other reason than indexing me so that other people can find that content.’ That’s a gray area and I think that’s going to work its way through the courts.”
Fair use or theft? Fair uses allows for limited use of copyright material (e.g., criticism, teaching, research), but what AI models do goes beyond this. The companies behind the AI models clearly want to profit from this content.
Why we care. There is no such “social contract” that I’m aware of. Microsoft (and Google) simply believe that all online content should be available for AI training. Clearly, this benefits these large multinational corporations. The actual content producers? Not so much.
Zoom out. This controversial quote comes as Microsoft, OpenAI, Google and other companies face multiple legal challenges over copyright infringement. This is also why OpenAI is signing so many content licensing deals.
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Apple expands 30% fee on Facebook and Instagram ads globally
Apple is set to extend its 30% fee on Facebook and Instagram ad purchases made through iOS devices to advertisers worldwide, starting July 1.
Why we care. This move could significantly impact digital advertising costs and strategies for businesses of all sizes, potentially altering marketing strategies and budget allocation toward mobile advertising.
The big picture. Initially implemented for U.S. advertisers in February, this expansion marks a major shift in how social media advertising is priced on mobile devices.
Details:
- The fee applies to ad purchases made via iOS apps but can be avoided by using desktop web browsers.
- Meta has updated its web platforms to offer the same ad-boosting functionality as mobile apps.
- EU regulators and a U.S. federal judge have criticized Apple’s fee structure.
What they’re saying. The fee is “anti-competitive” and gives Apple an unfair advantage, according to Meta’s Director of Privacy & Fairness Policy, Pedro Pavón.
The other side. Apple contends it’s entitled to charge for access to its platform’s audience.
Between the lines. This move is part of an ongoing battle between tech giants over app store policies and revenue sharing.
What’s next. Advertisers will need to adapt their ad purchasing strategies to avoid the fee, potentially shifting more activity to desktop platforms.
How to avoid the fee. Meta has provided guidance on purchasing ads without incurring Apple’s 30% charge.
The bottom line. This change could reshape mobile advertising practices and further intensify scrutiny of Apple’s App Store policies.
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Thursday, June 27, 2024
Probe Agency Records Statements Of NEET Candidates, School Owner In Gujarat
Upset Over Wife's "Spending", UP Man Kills Her, Dumps Body In River
Lucknow Man Kills Brother With Axe After He Asked Him To Cook Dinner
Wednesday, June 26, 2024
In Delhi Court's Custody Order For Arvind Kejriwal, A Caveat For CBI
Heavy Rain In Delhi Brings Some Relief From Intense Heat
Tuesday, June 25, 2024
New tROAS Insight Box for shopping campaigns in Google Ads
Google has introduced a new tROAS (target Return on Ad Spend) Insight Box for Performance Max and Standard Shopping campaigns, offering advertisers enhanced visibility into campaign performance.
Why it matters. This update provides ecommerce advertisers with a clearer understanding of their ROAS performance relative to their targets, potentially enabling more informed optimization decisions.
How it works.
- Displays whether Actual ROAS falls within the expected range.
- Shows weekly ROAS averages, including projected conversions.
- Calculates typical variation based on historical campaign data.
Key features.
- Visual graph of ROAS performance over time.
- Indication of whether the campaign is on track to meet goals.
- Inclusion of projected conversions in the analysis
Why we care. This update essentially empowers advertisers to make more data-driven decisions about their tROAS strategies, potentially leading to improved campaign performance and more efficient use of ad spend.
First spotted. This update was first seen on Thomas Eccel’s X post:
The big picture. This tool acknowledges that while individual conversion values may fluctuate above or below the target, Google Ads aims to maintain overall conversion value per cost equal to the set target ROAS.
What to watch. How this new insight box influences advertisers’ strategy for setting and adjusting tROAS in their shopping campaigns.
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Monday, June 24, 2024
Google tightens EU consent rules for Customer Match ads
Google Ads is updating its EU user consent policy, affecting advertisers using Customer Match lists for ad personalization in the European Economic Area (EEA).
The big picture. This change aligns with increasing privacy regulations in Europe and Google’s efforts to ensure compliance.
Why it matters. Advertisers must now explicitly pass granted consent signals to Google to continue using Customer Match for personalized advertising in the EEA.
Why we care. This update puts more responsibility on advertisers to collect and transmit user consent, potentially impacting campaign reach and effectiveness.
How it works. Advertisers have four options to pass consent signals:
- Google Ads API
- Partner and Audience Partner API
- Manual input in Audience Manager (Google Ads UI)
- Conversion-based Customer lists (requires Consent Mode enabled)
First seen. This update was first seen on Thomas Eccel’s X post:
What’s next. Advertisers targeting EEA users need to implement one of these consent signal methods to maintain their Customer Match capabilities.
Bottom line. Failing to adapt to these new consent requirements could result in limited ad personalization options for EEA audiences.
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Indore Techie Dies By Suicide, Was Depressed After Divorce: Cops
Reddit: Your new online reputation challenge
Whenever big brands partner up, the digital landscape changes.
In this article, you will learn:
- Why AI firms are eager to partner with Reddit.
- How your online reputation can be affected when major platforms partner up.
- How to leverage this new situation to your brand’s advantage.
- Tips on how to monitor the impact your brand is making on Reddit.
When a growing discussion platform becomes AI platforms’ new best friend
While more and more sites see their content outranked by Reddit threads, the discussion platform has just announced its partnership with OpenAI.
Reddit’s popularity has increased significantly since early 2022, with a notable rise in organic visibility since 2023, as shown by Google Trends.
In recent months, search has expanded beyond traditional search engines into generative AI tools like ChatGPT, Gemini, Copilot, Claude or Perplexity.
Generative AI gets better with context. As a result of the race for leadership in AI-powered search, platforms have a strong (and urgent) interest in using high-quality content as training material for their algorithms.
The new association between OpenAI and Reddit makes sense not just because Sam Altman, holding 8.7% of Reddit’s stock, is associated with OpenAI, but also because ChatGPT aims to evolve into a search engine.
Full access to Reddit’s threads provides a critical competitive advantage against upcoming competing platforms like Anthropic’s Claude, which confirms not having access to Reddit threads at this time:
At the same time, Perplexity allows focusing specifically on Reddit when using the tool, but the data seems to be coming through Perplexity running a Google search.
Dig deeper: How the Google-Reddit partnership impacts brand management
What does this mean for a brand’s online reputation?
Generative AI talks about your brand
Although the LLM can generate completely new texts, specific text passages are often reproduced almost literally.
With Reddit being used as a source of training data, we might see this happen more frequently.
ChatGPT now performs real-time searches for some queries, but this will not always be an option. A pragmatic solution for LLMs trying to give a quick reply might be directly copying partial or complete answers from popular Reddit answers.
Branded searches and searches for a product or service are directly impacted by the LLM’s “perception” of a brand.
Perception can be understood here as the context in which the LLM was trained and whether that context was comprehensive enough, consistent, coherent, positive or negative.
AI tools often generate responses purely based on their training material, putting your brand’s reputation at risk, as this ChatGPT example shows:
Reddit’s upvoting system to the rescue
One reason Reddit is a great platform for large language models is its upvoting system.
The platform is well-moderated, with specific guidelines for each subreddit. Answers other Reddit users value, frequently will get upvoted. Getting many upvotes correlates with a helpful answer – an indicator LLMs can efficiently process and use for more selective training and potentially quick responses.
What goes into a system impacts the output.
Reddit now feeds into Google’s and OpenAI’s language models. Both brands will happily take advantage of the often curated training data to reproduce good answers directly or pass them through their generative process to answer a user query.
Whether your brand, products or services are mentioned in such a response might strongly depend on your brand’s visibility and popularity on the platform and the sentiment around related messages.
4 practical tips to leverage Reddit for online reputation management
Now that Reddit directly feeds into Google and OpenAI, it provides a great entry point to leverage for online reputation management (ORM).
Here are practical tips you can implement right now.
Tip 1: Keep a branded profile
AI just aims to connect the dots. Keeping a branded profile, ideally with your brand name in it, will help establish your brand on the platform.
Link to your Reddit profile from your website, About us page and other social media networks, and maybe some of your articles, so the connection is clear and the profile is seen as legit.
Tip 2: Obey the rules
Every platform has its rules, and if you have not been active on Reddit yet, it is essential to:
- Find and subscribe to subreddits that are relevant to your brand and products or services.
- Comply with any subreddit-specific guidelines to avoid getting banned.
- Build an authentic presence leveraging your brand name.
- Engage naturally in conversations where you can add value.
Tip 3: Share helpful tips and advice – or your brand as an option
While self-promotion is usually not well received on discussion boards, on Reddit you will frequently find people drop brand names and product names, sometimes even including a link.
Brand mentions in the right context help language models understand more details about a brand and can help build trust.
When sharing advice, pay attention to making it rich in context, clear and actionable where possible. Using simple language will help neurolinguistic processing engines comprehend the sentence structure and identify the entities.
Helpful advice will facilitate more upvotes, establishing your response as one of the most trusted ones on that page – not a bad signal next to a branded user profile and potentially a message mentioning your brand.
Tip 4: Be strategic and consistent
Reddit has grown big enough to deserve its own strategy:
- What exactly do you want to achieve by participating on Reddit?
- What steps will you take on the platform to leverage it for your overall brand reputation goals?
Online reputation management requires consistency:
- Be consistent! Google Alerts can help find Reddit threads relevant to your industry, your brand or your brand’s main representatives
- Establish a routine of consistently participating in conversations related to your industry
How to track the impact
There are two simple ways to track your impact on Reddit:
- Brand monitoring.
- Referral traffic.
Brand monitoring will help you track how often your brand is mentioned on the platform. Sentiment analysis will then let you know if the context is positive, neutral or negative.
If your website gets mentioned with its domain or URL, Reddit will suggest a clickable link.
When a visitor comes to your website through a link on Reddit, the traffic can be tracked in Google Analytics 4 under Referrals.
Embrace the facts
There have been many discussions about whether Reddit results should appear in Google searches. Now, we will also see them come up directly (or indirectly) in ChatGPT.
It might be time to embrace the facts: Yet another platform has become a major player in the search and generative AI space. Leverage it to your brand’s advantage!
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Tiger, That Killed 4 Cows In 2 Days In Kerala Village, Caught
Elderly Waste Collector Dies By Suicide In Rajasthan Over His Viral Videos
Sunday, June 23, 2024
Navi Mumbai Sub-Inspector Rapes Constable For 2 Years, Case Filed
Saturday, June 22, 2024
Man, 27, Arrested For Making Hoax Bomb Threat To Indigo Mumbai Flight
UP Deputy Superintendent Demoted To Constable After Extra-Marital Affair
Friday, June 21, 2024
UP Man Kills 1-Year-Old Son After Suspecting Wife Of Cheating On Him: Cops
Indore Airport Receives Hoax Bomb Threat, Case Registered
Minor Girl Gang-Raped In UP, 3 Juveniles Detained: Cops
Google turns off Universal Analytics July 1: What you need to know
Google is discontinuing Universal Analytics, its legacy web analytics platform. This is the final shift in the transition to Google Analytics 4 (GA4).
Why it matters. Businesses that relied on Universal Analytics for website measurement and data analysis need to act quickly to avoid losing access to their historical data and maintain continuity in their analytics capabilities.
Key dates.
- July 1: Users will lose access to Universal Analytics data and interface.
- After July 1: All Universal Analytics data will be permanently deleted.
Why we care. We’ve finally reached the “now or never” moment. Export your historical data or you’ll lose it all in July.
The big picture. This transition marks a significant shift in Google’s analytics offerings, with GA4 designed to be more privacy-focused and adaptable to future changes in technology and regulations. However, search marketers remain unimpressed with GA4 – many of them still absolutely hate GA4.
Details:
- Universal Analytics properties are identifiable by tracking codes starting with “UA-“.
- Google has been automatically creating GA4 properties for users since March 2023.
- Several features, including real-time reports and certain advertising capabilities, have already been deprecated.
- There will be no visibility of historical UA bidding, audience or conversion data.
- Universal Analytics 360 contract holders will no longer be able to create standard Universal Analytics properties.
- Publisher or other product integrations (e.g. UA audience list, BigQuery exports, UA API requests) will be unavailable when services have stopped.
What to do.
- Export your Universal Analytics data before July 1, 2024.
- Set up and configure a Google Analytics 4 property if you haven’t already.
- Migrate Google Ads links and create new conversions based on GA4 events.
Bottom line. If you haven’t already, you need to act swiftly to preserve your historical Google Universal Analytics data.
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Thursday, June 20, 2024
Analyses: Google AI Overviews showing less often, with less Reddit
Google appears to have pulled back further on AI Overviews following well-earned criticism about its AI-generated answers giving users incorrect, misleading and dangerous answers.
Let’s dive into new findings from two separate SEO platforms:
- SEOClarity looked at 2,700 keywords.
- SERanking analyzed 100,000 keywords.
AI Overviews reduction. Google is showing AI Overviews less often, though the analyses disagree on the percentage. AI Overviews show for:
- 8.71% of searches, according to SERanking. (Down from 64% – when it was still known as Search Generative Experience)
- 7.6% of searches, according to SEOClarity. (Down from 17.4% observed May 14-30)
This reduction is not surprising – especially after Google responded to criticism and explained how it would improve AI Overviews on May 30.
Citations. Reddit’s visibility dropped in AI Overviews, according to SERanking. It is no longer among the top 10 most cited domains. The top five domains most referenced websites in AI Overviews:
- runnersworld.com (1,200 times)
- healthline.com (1,114 times)
- linkedin.com (1,027 times)
- runrepeat.com (933 times)
- en.wikipedia.org (775 times)
By the numbers. Some interesting findings from SERanking’s analysis:
- 84.72% of AI Overviews link to at least one domain that also appears in Google’s top 10 organic search results.
- Featured snippets and AI Overviews appear together 45.39% of the time – and when this happens, citations match 61.79% of the time.
- AI Overviews are 4,342 characters, on average.
- Ads appear with AI Overviews 87% of the time.
- AI Overviews are most often present in Relationships (26.62%), Food and Beverage (24.78%) and Technology (18.11%).
More findings. Here are other interesting findings from SEOClarity’s analysis:
- AI Overviews appeared for 44% of Your Money Your Life (YMYL) keywords.
- Local keywords don’t trigger AI Overviews (this seems consistent with recent BrightEdge findings).
- AI Overviews are most often present in Home Warranty (25.22%), Technology (20.09%), and Social Media (23.96%) industries.
Why we care. Despite the early hiccups in these early days of AI Overviews, Google continues to evolve in the direction of AI Overviews. Google wants to become an answer engine rather than a search engine. As this shift from Classic Search to AI Search continues, some brands and businesses may be forced to adapt to a new reality with less organic traffic.
The reports. You can read them here:
- SERanking: AI Overviews Research: Comparing pre and post-rollout results on 100K keywords
- SEOClarity: Initial Impact of Google’s AI Overviews: SEO Research Study
Dig deeper. Google AI Overviews visibility drops, only shows for 15% of queries
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IIT Bombay Fines Students Rs 1.2 Lakh Each Over Ramayana Skit
Wednesday, June 19, 2024
Class 10 Student Kills Aunt For Declining Indecent Proposal: Cops
Mumbai Hotelier, His Parents Charged For Torturing His Wife: Cops
Tuesday, June 18, 2024
1 Killed In Shooting Shocker At Burger King Outlet in West Delhi
1 Killed In Firing At Food Outlet In Delhi's Rajouri Garden: Cops
5 Women Killed After Speeding Truck Runs Over Them In Maharashtra: Cops
14 proven strategies to enhance your website’s SEO by Digital Marketing Depot
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Monday, June 17, 2024
Reddit unveils new Conversation Ads
Reddit announced a major revision to its conversation page ads, including a new placement within discussion threads.
Trying to position itself as a leader in contextual advertising, Reddit is emphasizing the power of authentic conversations in an AI-dominated digital landscape.
Why it matters. Reddit said that 2 in 3 users would purchase a product after seeing an ad on the platform, indicating it is a key platform during the consumer buying journey for product/brand decisions.
Why we care. This news represents a significant development in paid social media advertising, offering new opportunities for advertisers to reach engaged audiences in a highly contextual environment.
Details.
- The new “Conversation Ads” feature larger, more premium media and will appear between individual comments.
- 47% of Reddit screenviews happen on conversation pages, making it a prime advertising real estate.
- New brand safety controls, including machine learning tooling, are coming later this year.
By the numbers.
- Combining Feed and Conversation Ads drives Action Intent more than twice as strongly as Feed only (+2.44% to +5.46%), Reddit said.
- Campaigns using both placements saw 83% higher brand awareness compared to Feed only.
Case study. Lenovo’s use of Conversation Ads resulted in:
- 40% lower cost per acquisition (CPA) than the campaign average in 2023.
- 30% year-over-year improvement in CPA.
- Early achievement of 2024 campaign goal.
Bottom line. Reddit is leveraging its unique position as a conversation-driven platform to offer advertisers highly contextual and engaging ad placements.
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No Land Transfer To Adani Group In Dharavi Redevelopment Project: Report
Sunday, June 16, 2024
Bengal Orders On-Duty Personnel To Immediately Vacate Raj Bhavan Premises
Caught On CCTV: Kolhapur Crash Sets Off 'Ghost Auto' Run, Five Injured
Saturday, June 15, 2024
Noida Woman Finds Centipede Inside Amul Ice Cream Tub Ordered Online
Friday, June 14, 2024
Manipur Government To Provide Rs 10,000 To Each Flood-Hit Family
Google streamlines product listings via website crawl
Google is making it easier for merchants to pull in product listings from their sites through automated “website crawl” feeds in Merchant Center.
How it works. Google uses structured data markup on merchant websites to automatically extract up-to-date product information like titles, pricing, availability and images.
The big picture. The automated feeds aim to reduce the work required to keep product listings current as assortment and pricing changes – a challenge with traditional feed file uploads.
Why we care. This update could help reduce manual grunt work when it comes to updating product listings in the Merchant Center, although there may be a learning curve to ensure all products have the correct schema markup, which may not be the advertisers’ role in the marketing team.
The details. To use automated feeds, merchants must implement required schema.org markup for product details like:
- Title [title]
- Price [price]
- Availability [availability]
- Image [image_link]
Additional attributes like GTIN, brand, size and condition can further enrich listings when provided via markup or supplemental feeds.
What’s new. Some merchants now see an alternative “Website” feed experience that allows them to simply toggle automated product ingestion on/off in the Merchant Center.
Products get automatically added or removed from the Merchant Center based on the website crawl.
It complements other product data sources without duplication.
The challenges. Proper structured data implementation is key, as is managing crawl directives via sitemaps and robots.txt to avoid indexing issues.
What they’re saying. “Supplemental feeds provide additional information…and you can refresh [them] more often,” per Google’s automated feed documentation.
Between the lines. Automated feeds align with Google’s push toward entities and structured data as core to its modern “AI-first” approach across products.
First spotted. This update was first spotted on Thomas Eccel’s profile:
Bottom line. By reducing manual feed labor, automated product ingestion could lower barriers for merchants to participate across Google’s growing array of surfaces like Search, Shopping, Images and more.
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Pinterest launches AI ad tools
Pinterest is rolling out new AI-powered ad tools and measurement partnerships to drive better performance and brand safety for advertisers.
The big picture. Pinterest is investing heavily in generative AI capabilities for more engaging, personalized ad formats and automating campaign optimization.
What’s new. Pinterest is launching an “Ad Labs” innovation program to test prototypes like:
- Personalized background generation using its visual search AI to create aesthetically tailored lifestyle backgrounds for Product Pins.
- Interactive, shoppable collage ads that let users curate brand imagery, with early tests driving strong engagement.
It’s also expanding brand safety validation through partnerships with measurement firms IAS and DoubleVerify.
Why we care. These AI-powered updates show a desire for Pinterest’s to evolve their ad platform with cutting-edge technology that can drive performance, effective personalisation, efficiency, improved brand safety and unique experiences for advertisers aiming to effectively reach its audience.
The AI boost. Pinterest Performance+, currently in closed beta, uses automation and AI to optimize campaigns for better cost efficiency.
- Early tests showed 10%+ improvements in cost per acquisition for conversion campaigns.
- It also reduced campaign setup time by 50% thanks to automated inputs.
What they’re saying. “We saw the unique opportunity with collages to take customers from inspiration to action with a single ad creative,” said Wayfair’s Sandro Corsaro, an early Ad Labs partner.
Brand safety matters. Pinterest says 99% of measurable ad impressions were rated brand safe by IAS and DoubleVerify during testing.
Limitation. The collage ads are initially limited to select brands like Nike, Wayfair and NYX Cosmetics, with more advertisers to come.
What’s next. Expect further AI-powered upgrades as Pinterest aims to stand out through automation and personalization at scale.
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Thursday, June 13, 2024
Elephant Kills Mahout In Bhopal, Cops Take Her In Custody
Mumbai Woman Orders Ice Cream, Finds Human Finger Inside
Wednesday, June 12, 2024
Google’s auto-pause for idle keywords: overreach or overdue?
A short while after Google announced it would pause low-activity keywords, the Optmyzr team ran a study and got reactions from paid search experts to figure out how marketers may be affected, what shifts (if any) it would cause in advertiser management styles and what risks come with this update.
The big picture. Google’s plans to automatically pause long-idle ad keywords have sparked debate among marketers – some see it as overreach, while others say it’s overdue account maintenance.
What’s happening? Google will start automatically pausing search ad keywords and ad groups that have gone 13+ months without any impressions or activity. The change, initially met with mixed reactions, aims to streamline the management of stale entities.
The concerns. Some advertisers believe leaving dormant keywords maintains account history and relevance signals. Others fear prematurely pausing viable terms that see sporadic bursts of traffic.
The data. The Optmyzr study of over 9,400 Google Ads accounts found:
- 84% of accounts had 50%+ keywords with zero impressions in 13+ months.
- Pausing those terms likely won’t hurt performance for most.
- Only 145 higher-spending accounts (1.5%) risk potential performance loss.
Why we care. While most small account advertisers may welcome the account clean-up, larger brands with established keyword-level control may face challenges adapting to increasingly automated, opaque Google Ads management
The upside. Most accounts stand to gain streamlined structures and simpler budgeting after the pauses, aligning with Google’s push for automation over manual management.
What they’re saying. “Google continues to blur the lines between platform and ad partner” by making organizational calls like this, marketing consultant Kirk Williams, owner of ZATO, told Optmyzr.
Bottom line. While valid fears exist around losing viable keywords, most advertisers likely have little to lose – and may see gains – once long-dormant terms get automatically parked.
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Tuesday, June 11, 2024
3-Member Family Die After Inhaling Poisonous Gas In Puducherry: Cops
70-Year-Old Man Arrested For Raping Minor Girl In UP: Cops
The path to personalization: A roadmap for marketers by Edna Chavira
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Man Clims Atop Mobile Tower In Chandigarh, Demands Meeting With B Mann
Monday, June 10, 2024
UP Jail Celebrates Naming Ceremony Of Baby Born To An Inmate
Violence Erupts In Chhattisgarh Over Religious Site Demolition
2 Men Sentenced To Death For Kidnapping, Killing 7-Year-Old Boy
Google Ads rolls out new design to all markets on Aug. 30
Google Ads is finalizing the rollout of its new design to all markets starting Aug. 30, retiring the old interface for desktop users.
The big picture. First launched in 2023, the new Google Ads design overhauls how the product is organized, aiming to make tools and features easier to find while retaining existing functionality.
Why it matters. Advertisers have shown a preference for the updated look based on sustained usage during the initial rollout, according to Google. The company says the changes will streamline workflow for both new and experienced users.
Why we care. While a design revamp may seem superficial, it will impact workflow efficiency and new user training. Google aims to make this a future-proof design, meaning advertisers should prioritize and embrace this transition.
What’s New:
- Main menu: A left-side menu organizes pages into 5 high-level categories (see below).
- Search: A top search bar allows quick access to specific tools and settings.
- Clean UI: The new interface presents a cleaner, more modern look and feel.
The 5 categories:
- Campaigns – Analyze, optimize and manage ad campaigns.
- Goals – Define, monitor and update conversion goals.
- Tools – Access tools for planning, bidding, troubleshooting, assets and audiences.
- Billing – Monitor spend and make payments.
- Admin – Manage team access, security settings and account details.
The transition. While all functionality remains intact, the old Google Ads design will sunset on August 30th for desktop users, who must switch to the new experience.
Reaction. This announcement was first noticed on Thomas Eccel’s LinkedIn profile. Being an early tester of the new design, Eccel noted:
- “I recommend using the new Google Ads UI already, to adapt soon enough.
- “In the beginning my brain struggled to find tools and submenus, but it will get used to it.
- The best thing about the new design is that you can finally segment (conversions etc.) one specific PMax campaign without selecting ‘All Campaigns’ or ‘All PMax campaigns’.”
What Google is saying. “We’ll continue to fully support existing features and tools,” per Google’s announcement, encouraging users to embrace the updated organizational structure.
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Google Ads API v17 released with new features, changes
Google announces the v17 release of the Google Ads API, bringing several new features and changes that advertisers and developers need to be aware of.
Why we care. The updated version of Google Ads offers a range of new tools and capabilities to help you better manage and monitor the performance of campaigns. It’s also important to be aware of these changes so as to take full advantage of new capabilities while avoiding disruptions from deprecated features or policy changes.
What’s new. There are three big changes that Google introduced to keep up with policy update, volume of information being processed and reporting view. The rest are batch processing updates and new optimization features.
The big changes:
- Resource Usage Policy Update. To prepare for an upcoming resource usage policy change on June 17, 2024, two new values have been added to QuotaError, for instances of excessive resource consumption over a time period.
- Page Size Fixed at 10,000. The page size field is now always set to 10,000, and you can no longer pass a page size to GoogleAdsService.Search. Doing so will result in a request error.
- New Reporting Views. Campaign aggregate asset view and Channel aggregate asset view have been added for reporting more metrics on Performance Max and Search campaigns.
Batch processing updates:
- Asset Group Operations. Support for setting MutateOperation.asset_group_operation when using BatchJobService has been added, allowing batch processing for creating and managing entire Performance Max campaigns.
- Request Size Limit. A new BatchJobError.REQUEST_TOO_LARGE error for any job requests larger than 10,484,504 bytes will produce an error. Advertisers will need to divide operations into smaller groups for separate requests.
Other notable changes:
- Keyword Match Type. Campaign.keyword_match_type has been added to allow setting a keyword match type for all keywords in a campaign.
- Ad Group Criterion Status. Primary status and primary status reasons have been added to AdGroupCriterion to show serving status and reasons.
- New Shopping Product Report. A new shopping product report has been added, corresponding to the Products page in the Google Ads UI.
- Demand Gen Renaming. Discovery has been renamed to Demand Gen across all relevant fields, enums, and errors.
Further reading. For the complete list of changes made to Google Ads API in version 17, read the full release notes.
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Thursday, June 6, 2024
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Study: 96% of sites in Google’s top 10 positions have 1,000+ links from unique domains
Can you rank in the top 10 of Google with very few links? Not according to a new analysis published today by Internet Marketing Ninjas. It found that:
- Over 96% of websites ranking in the top 10 of Google had more than 1,000 backlinks from unique domains.
- Only 0.3% had less than 100 backlinks.
Why we care. Google has been saying that links are no longer one of the top three ranking signals and needs “very few links to rank pages.” However, clearly, websites that rank well tend to have more backlinks. But it’s also true that webpages that rank well tend to attract a lot more backlinks – because they rank so well.
The results. Here’s a table showing the overall findings:
Some other interesting findings from the backlink analysis:
- Amazon ranked in the top 10 for 164 of the 200 keywords; the next closest brand was Walmart (57).
- The “weakest” site had 54 referring domains and ranked in Position 6.
- An average of 164 unique domain backlinks appeared to be the “minimum required to rank in the top 10” for local search terms, for the lowest 10 sites
But. As the study notes, not all links have equal value. Variables that could influence the value of a link include the authoritativeness of the linking site, anchor text and whether people actually click on the links.
About the data. The results are based on an analysis of the top 10 Google Search results, consistenting of 1,113 unique websites, for 200 random commercial intent keyword phrases.
The study. You can read it here: Backlinks Google Study
Dig deeper. Search Engine Land contributor and SMX speaker Eric Enge has done multiple studies in past years showing that links have value:
- Updated study: Links are still incredibly important for ranking in Google
- New Google link study shows links are as important as ever for ranking well in search
- New Google ranking study shows links are incredibly important to the ranking algorithm
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Google Ads launches Brand Recommendations powered by AI
Google is launching a new set of AI-powered “Brand Recommendations” within the Recommendations page of Google Ads, the company announced today.
The big picture. The tailored Brand Recommendations span awareness and consideration campaigns with cost-per-thousand (CPM) and cost-per-view (CPV) bidding. They complement the existing performance recommendations for cost-per-action campaigns, giving advertisers a “full funnel” of optimization choices.
Why we care. For brand marketers looking to stay ahead, these automated, insight-surfacing recommendations could provide an easy way to regularly access Google’s latest best practices.
How it works. Brand Recommendations analyze an advertiser’s Google Ads history, campaign settings and industry trends to automatically surface ways to improve brand campaign performance and effectiveness.
What’s included. The recommendations fall into five main categories:
- Ads and assets (e.g. add bumper ads, include ideal video aspect ratios)
- Bidding and budgets (e.g. adjust CPM/CPV bids and budgets for flighted campaigns)
- Keywords and targeting (e.g. opt into audience expansion, remove contextual targeting)
- Measurement (e.g. link YouTube account for more reporting)
- Full-funnel opportunities (e.g. “funnel up” to a brand campaign)
The recommendations are customized for each advertiser and updated regularly as Google’s systems discover new optimization opportunities.
What they’re saying. “Adopting Brand Recommendations are part of a best practice to maximize the chances of brand campaign success,” Google said in its announcement.
Bottom line. The new Brand Recommendations use Google’s AI smarts to analyze advertisers’ specific situations and suggest relevant ways to improve their brand marketing on Google’s properties.
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Wednesday, June 5, 2024
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Google Ads inviting some advertisers to join Advisors Community
Google Ads is inviting select customers to join its Advisors Community, offering a rare chance to directly influence its products and services.
Why it matters. This move signals Google’s push for more customer-centric product development, potentially shaping the future of digital advertising.
Why we care. Advertisers have seen many updates to Google products that have been seriously lacking in effectiveness. Many advertisers request being part of the discussion before an update is launched. This may be the answer to their long-running concerns.
Details.
- Members provide brief monthly feedback (max 4 surveys, ~5 mins each)
- Opportunity to impact unreleased products
- Quarterly updates on how feedback is used
How to join. If you see this communication in your inbox, fill out a quick, confidential questionnaire via third-party provider Alida.
Between the lines. By involving customers early, Google aims to better align its tools with user needs, possibly to maintain its dominance in the competitive ad tech space.
Reaction. I first saw this on Google Ads Consultant, Boris Beceric’s LinkedIn profile. When asked to comment, Beceric said:
- “I welcome the opportunity to have a more direct way of giving feedback to Google. I know they are listening (e.g. they gave us more control & reporting for Performance Max), but sometimes it is just so frustrating to be seeing things in the accounts that are opaque for no good reason. Criticizing on social media is not really going to move the needle in advertiser’s favor, so I think we need to take these opportunities when they are presented to us.”
What to watch. How much Google actually incorporates user feedback and whether this improves Google Ads products.
The email. Here’s a screenshot of the email Beceric shared on LinkedIn:
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Tuesday, June 4, 2024
LinkedIn expands video ads, AI tools to help B2B marketers
LinkedIn is rolling out new features to help B2B marketers build their brands and engage with its community of 1 billion professionals.
The Wire Program. The first initiative is the addition of in-stream video ads alongside publisher content. A LinkedIn spokesperson told Search Engine Land:
- “The Wire Program is available in all languages on mobile and desktop to global advertisers part of the pilot that negotiates content sponsorships with our select group of publishers, like Barron’s, Bloomberg, Business Insider, Forbes, LinkedIn News, MarketWatch, NBCUniversal, Reuters, The Wall Street Journal and Yahoo Finance. Note: at launch on June 5, the Wire Program will not offer EU member targeting.”
Here’s a GIF LinkedIn shared showing an example:
Expanded AI capabilities in Accelerate. The spokesperson told us LinkedIn is “making Accelerate campaigns globally available for lead generation and website visits objectives, as we expand Accelerate to support additional campaign objectives in the future.” Here’s what’s new with Accelerate:
- Microsoft Designer integration for creative customization
- Enhanced targeting with exclusion lists
- AI marketing assistant for campaign guidance
Early results:
- Advertisers using Accelerate are creating campaigns 15% more efficiently
- They’re also seeing a 52% lower cost per action compared to classic campaigns
- Video uploads on LinkedIn up 45% YoY
Why we care. B2B advertisers have historically felt ignored. This will be a welcome update, that other tech giants don’t seem to tend to, that will show advertisers that AI can also be used to help improve their results.
What’s next. LinkedIn plans to make Accelerate, including AI-drafted copy in English, available to all customers globally in the coming months.
What they’re saying. Sean Johnston, VP of Advertising at Closed Loop, noted a 3x increase in lead form completion rates and 66% cheaper cost per lead:
- “Accelerate Campaigns far surpassed the lead conversion performance we saw from even our best performing manual audiences.”
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Cut through inbox clutter with personalized, high-impact email by Edna Chavira
It’s harder than ever to capture your audience’s attention in an increasingly crowded inbox. With email volumes on the rise and click-through rates declining, creating personalized, engaging content that resonates with your audience is more important than ever.
That’s where the power of CDP-ESP integration comes in. By leveraging the combined strength of your customer data platform (CDP) and email service provider (ESP), you can create targeted, high-impact emails that drive results.
MarTech’s upcoming webinar, “Turn Your Customer Insights into Personalized, High-Impact Email,” will show you how integrating your CDP and ESP can help you overcome these challenges and take your email marketing to the next level. Register now!
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