Archive for the ‘seo news’ Category
Monday, August 12th, 2024
If only marketers could explore inside the minds of consumers, we might know what they really want. In the rapidly evolving landscape of digital commerce, understanding consumer behavior is key to staying ahead. Our upcoming webinar, based on Wunderkind’s 2024 Consumer Insights Report for Digital Commerce, is designed to give you a comprehensive understanding of the latest trends and actionable insights. Here’s a preview of what you’ll learn and how it can transform your business strategies.
Setting the stage
Join Richard Jones, Chief Revenue Officer at Wunderkind and Tim Glomb, VP of Content, Digital, and AI at Wunderkind, as they unpack the findings of our extensive survey. We gathered responses from 1,500 consumers across the U.K. and the U.S., covering a broad range of demographics and behaviors. This session will explore many of the questions from our survey, focusing on digital purchase behavior, the impact of marketplaces, and the growing importance of brand websites.
Here’s what you can expect to take away from this webinar:
1. Trends in digital purchase behavior
Rising online shopping frequency: We’ll dive into why nearly 33% of consumers shop online weekly and why 25% plan to increase their online shopping in the coming year. Younger consumers, especially those aged 25-34, are at the forefront of this trend.
Direct purchases and palue exchange: Learn how to incentivize consumers to buy directly from your website, thus maintaining higher margins and better customer engagement.
2. Power of personalization
Leveraging data for personalization: Discover how the depth and breadth of your data can enhance AI-driven marketing. The Wunderkind Identity Network’s extensive data pool allows for hyper-personalized messaging that outperforms competitors.
3. Adapting to consumer preferences
Preferred communication channels: Understand that email remains the top choice for personalized offers, especially among older demographics. However, SMS is gaining traction with younger consumers, indicating a shift that marketers need to embrace.
Effective advertisement yypes: Learn why ads tailored to consumer interests and behaviors are the most effective and how to create visually appealing, non-disruptive ads.
4. First-party data collection
Strategies for first-party data: As third-party cookies phase out, the importance of collecting first-party data grows. We’ll discuss strategies to gather this data and how to use it to create personalized offers that convert.
5. Navigating the digital marketplace
Influential ad channels: YouTube and Facebook lead as the most influential ad channels. We’ll explore how to utilize these platforms to shape consumer impressions and drive purchases.
Balancing marketplaces and directsales: While consumers trust marketplaces, selling directly through your website is crucial for maintaining margins and gaining valuable data. We’ll share strategies to balance these channels effectively.
Want to interact with the data yourself?
It’s one thing to watch us reveal the trends, but what if you want to get in and dig into the data yourself? We’ve got an interactive tool that will allow you to engage with the data in real-time. You can parse the data and filter by age, country, household income, and gender. This tool will help you apply the insights from the webinar to your specific business needs. You can also ask specific questions to understand how to apply it to your use case.
Watch the webinar now
The 2024 Consumer Insights Report for Digital Commerce webinar is an invaluable resource for anyone looking to excel in the e-commerce space. You’ll walk away with a deeper understanding of consumer behavior, enhanced personalization strategies, and innovative methods for collecting and leveraging first-party data. Don’t miss this chance to gain insights that will drive your business forward.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Saturday, August 10th, 2024
TikTok is now integrating Amazon shopping directly into its platform, allowing users to make purchases without leaving the app.
Why it matters. Advertisers having access to TikTok’s massive, highly engaged user base could be a game changer and reduced friction between discovery and purchase could boost conversion rates.
How it works:
- Amazon product recommendations will appear in users’ “For You” feeds.
- Users who link their TikTok and Amazon accounts can complete purchases within TikTok.
- The integration will show real-time pricing, Prime eligibility, delivery estimates and product details.
The big picture. Amazon is expanding its reach across social media platforms, having signed a similar deal with Pinterest and existing partnerships with Instagram, Facebook and Snapchat.
Between the lines. This integration comes as TikTok Shop, launched about a year ago, seeks to gain traction in the e-commerce space.
Yes, but. TikTok users have expressed mixed feelings about ads and TikTok Shop videos in their feeds, raising questions about how this new feature will be received.
What they’re saying. “This shopping experience is powered by Amazon through ads placed on TikTok and allows users to complete product purchases with Amazon in TikTok’s native environment,” TikTok stated.
What to watch. How this integration affects user experience and engagement on TikTok, and whether it significantly boosts Amazon’s sales through social channels.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Saturday, August 10th, 2024
Artificial intelligence (AI) is transforming every facet of PPC advertising, from creative assets to audience targeting, reporting and ongoing optimization.
With the rise of LLMs as an alternative to traditional search, we’re also witnessing huge disruption to Google’s search business.
This article explores the latest trends, tools and strategies to help you navigate the evolving search landscape and leverage AI as a copilot for improved paid media performance.
AI’s impact on paid media strategy
AI has been disrupting paid media more than any other area of digital marketing for the past decade. We’re experiencing the shift toward automated campaign management in Google Ads since smart bidding rolled out in 2016, so we should be better equipped than most to harness this technology.
More recently, we’ve witnessed a huge advancement in generative AI capabilities, including tools like Microsoft’s Copilot embedding creative production capabilities and Google’s Gemini-powered advertising solutions in Performance Max.
While these advancements offer many benefits, they also come with challenges, such as reduced originality in ads and less transparency and control for advertisers.
Dig deeper: AI and Google advertising: What’s next?
AI-powered tools, formats and platforms
Performance Max
Performance Max represents a significant shift toward more automated advertising.
These campaigns automatically optimize for conversions across Google’s entire network, including YouTube, Display, Search, Discover, Gmail and Maps.
Recent updates have introduced additional control layers, such as brand exclusion capabilities, preventing Performance Max from being overly reliant on brand search.
These improvements are a step in the right direction, but Performance Max campaigns still perform best with close human oversight.
It has been proven to be strongest in accounts with multiple campaigns, asset groups, more audience data and high-quality creative assets.
AI Overviews: Diversifying your media mix
Google’s AI Overviews marks a huge shift in Google’s search experience.
While much of the discussion around AI overviews has focused on their impact on organic search, Google has announced it will begin testing ads as part of AI Overviews.
Ads from existing Search, Performance Max and Standard Shopping campaigns have the opportunity to appear within the AI Overviews as part of this test.
While AI Overviews have recently scaled back due to quality issues, they will be back for an increasing percentage of queries in the future.
AI Overviews have reportedly led to fewer clicks from organic search results, causing a problem for many brands. This could increase competition and cost-per-click (CPC) for advertisers on Google Search.
Essentially, with AI Overviews pushing links further down the page, we’re seeing more brands that previously relied on SEO beginning to invest in PPC to fill the gap left by organic.
Declining organic clicks despite no change in ranking position
Google is focusing more on user-generated content (UGC) and showing listings from more social media platforms. It recently partnered with Reddit to display more of its content in Google search results.
Reddit’s traffic was up by nearly 40% year over year from Google, per Similarweb.
Brands should consider exploring advertising on Reddit to navigate the growing competition in Google Ads.
If Reddit pages keep ranking well in Google search results, you’ll likely reach more relevant users by displaying ads on these high-intent destination sites.
Dig deeper: 5 ways advertisers can prepare for Google’s AI Overviews
SearchGPT
OpenAI’s new prototype search product, SearchGPT, poses a direct challenge to Google Search.
Our agency clients and we have already received qualified leads from ChatGPT, showing that LLMs can be a viable search engine alternative. This will likely affect advertising soon.
While OpenAI stated it wants a search experience “without drowning you in advertising,” ads will likely make their way into these products sooner rather than later.
AI-powered image and video editing
Google’s AI tools for creative editing let you add objects and extend backgrounds, changing how ads are created and optimized.
The recent introduction of 3D rotating ads and virtual try-ons in Shopping ads provide a more immersive and engaging user experience. In theory, this should improve user interaction and conversion rates.
Best practices for structuring accounts in the AI era
In the AI era, it’s crucial to structure accounts and manage audiences effectively. There are two main ways to do this:
- Numerous targeted ad groups: This method leverages ad customizers and specific landing pages to create highly targeted campaigns.
- Fewer, larger ad groups: This approach uses fewer ad groups with more generalized targeting, relying on AI to optimize within these larger segments.
We’ve seen more clients revert to the Hagakure method, which focuses on consolidating campaigns and ad groups to leverage Google’s machine learning more effectively.
This simplifies account management and enhances the performance of automated campaigns.
Hagakure structure.
Dig deeper: 6 ways to use AI for paid search account restructuring
Challenges and opportunities
Challenge: Transparency and control
A major challenge with AI-driven advertising is the lack of transparency and control, which can lead to poor results.
However, recent updates, like the option to exclude certain topics and keywords in Performance Max, are beginning to address these concerns.
Opportunity: Leveraging first-party data
Think of machine learning as a car and data as the fuel. High-quality data is essential for optimal results.
First-party data is especially valuable for guiding audience targeting and connecting offline conversions, which is crucial for effective PPC management, particularly for B2B brands.
Challenge: Risk of over-reliance on AI creative
AI can simplify the creative process, but it risks making content too similar. Relying too much on AI might reduce the uniqueness of your ads, making it harder for your brand to stand out.
Balancing AI with human creativity is key to keeping your brand distinct and capturing attention.
Opportunity: Integrated search
With the search landscape being disrupted by platforms like ChatGPT and Google shifting toward more AI-generated results, PPC and SEO teams must collaborate to ensure search drives incremental growth.
Dashboard with integrated search data
Takeaways: 5 steps to take today
As AI reshapes search advertising, staying ahead of the competition demands a proactive approach. Here are five actionable steps to future-proof your PPC campaigns:
1. Focus on data quality
Machine learning is the car, data is the fuel. Ensure that your data is accurate and comprehensive.
High-quality data is the foundation of successful AI-driven campaigns.
2. Balance automation with human expertise
While AI can handle many tasks, human oversight is still essential. Combine AI’s efficiency with your team’s strategic thinking to achieve the best results.
Tools like Performance Max and Microsoft’s Copilot offer significant benefits but require careful management, distinctive brand assets and continuous optimization.
3. Diversify spend and reduce reliance on search
As Google focuses more on UGC and younger users turn to social media instead of traditional search engines, brands should shift some of their ad budgets away from Google.
Investing in platforms like Reddit, which is becoming a popular source of information, could be a smart strategy.
Dig deeper: How to reach new audiences with multi-platform search advertising
4. Integrate your search data
Due to declining organic real estate, many brands are looking to invest more in PPC.
It’s important to evaluate incrementality from search overall. This helps determine which areas are worth investing in for the long term.
5. Invest in education and training
Continuous learning will help you leverage new tools and technologies effectively.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Saturday, August 10th, 2024
Google announced the general availability of the Structured Data Files (SDF) QA format for Display & Video 360, enhancing bulk review capabilities for advertisers.
Why we care. This update simplifies the process of reviewing resource settings in bulk, making campaign management more efficient for advertisers using Display & Video 360.
Key details:
- The SDF QA Format was initially released in open beta on May 30, 2024.
- It’s now generally available as of Aug. 8, 2024.
- Applies to Line Item and YouTube Ad Group resources.
How it works:
- Uses human-readable values instead of numeric IDs.
- Available for SDF v6 and later.
- Accessible through Display & Video 360 interface or API v3.
New file types:
- “Line Item – QA.”
- “YouTube Ad Group – QA.”
Between the lines. This update addresses a common pain point for advertisers managing large-scale campaigns, offering a more intuitive way to review settings without navigating complex numeric IDs.
What’s next. Advertisers should consult the updated Bulk Tools guide to determine if the SDF QA format suits their integration needs.
The bottom line. While enhancing readability, these QA format files are read-only and can’t be used to modify or create resources, maintaining a clear separation between review and action processes.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Saturday, August 10th, 2024
Are you tired of content creation bottlenecks and struggling to keep up with audience demands? It’s time to revolutionize your approach.
Join Deloitte Digital and Adobe for Start Your Content [R]evolution: Leading a new era of customer engagement with GenAI and automation where they’ll unveil how AI and automation can transform your content creation process. Discover how to:
- Dramatically increase content output without sacrificing quality.
- Deliver highly personalized content at scale.
- Gain valuable insights from data-driven content performance.
You’ll walk away with actionable strategies to streamline your workflow and achieve better results. Click here to save your spot.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Thursday, August 8th, 2024
Google announced the release of v17_1 of the Google Ads API, introducing several new features and updates for developers and advertisers.
Key Updates:
ShareablePreviewService.GenerateShareablePreviews(): Generates shareable ad preview URLs for enabled and paused asset groups, with expiration dates included.AdGroupAdService.RemoveAutomaticallyCreatedAssets(): Allows removal of automatically created assets linked to Responsive Search Ads.- New
ASSET_GROUP change status resource type.
- New
offline_conversion_upload_conversion_action_summary report for offline conversion diagnostics.
- Added metrics to offline diagnostics reports to track conversions still being processed.
- Support for
segments.sk_ad_network_version and segments.date for per_store_view segmentation.
- Retrieving information on video campaign bidding strategies, including Fixed CPM and Target CPV.
- New
segments.ad_format_type for compatible reports.
Why we care. These updates provide advertisers and developers with more granular control, insights and flexibility when working with the Google Ads API. The new preview, asset management, and offline conversion diagnostics features, in particular, address common pain points.
What’s Next. Developers will need to upgrade their client libraries and code to take advantage of the v17_1 features, which will be published next week. Google notes that this release has no breaking changes.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Thursday, August 8th, 2024
Economic demands require marketers to do more with less. Today, small teams meet this demand by adopting AI to produce a greater output. Without AI, teams risk not meeting their goals due to limited resources.
Likewise, advancements in PPC have changed how teams think about technology’s impact. Methods of targeting, designing creative and structuring campaigns have shifted, thanks to machine learning.
The most successful campaigns require a strategic blend of creativity and an acute understanding of evolving customer behavior. Therefore, adapting human expertise and technology creates a competitive advantage.
Here are a few things you can do to strike a critical balance of human touch and AI to enhance your ad campaigns, engage your audience and drive superior results.
Align ads to the customer journey
Finding the right audiences at the right time is possible with the AI-assisted features of the ad platforms: Performance Max, Meta’s Advantage+ and LinkedIn’s Predictive Audience.
Each feature offers the same value: finding conversions with few targeting parameters based on user signals. The algorithms match your creative to the right audience, serving ads to the users who are most likely to convert.
Marketers can use these AI-assisted features to reach their desired outcome without performing more manual, low-impact activities. That said, there are two critical ideas to consider when using these audiences:
- Optimizing toward the right objective for your goals.
- Strong creative that resonates with your ICP and their journey.
These “smart” audience types can scale targeting capabilities and drive cheaper traffic and engagement, but the quality is questionable, especially in B2B. Still, don’t be afraid to test.
Cheap costs are a trade-off for broader targeting. You should consider, “Are you willing to cast a wider net if you know the right people are being reached alongside some less-qualified traffic?”
To resonate with a quality audience, humans must guide AI targeting with strong messaging and designs for audience engagement.
Ensure your message isn’t too broad or too niche and develop for different customer needs. You must have ad creative that:
- Educates: This content should focus on your brand and foster education and awareness. Consider video, blog posts, or other lower-intent content pieces.
- Explains value: These ads tout the product/solution in some way and drive directly to a declared intent page on your website.
- Lays out price and/or offer: Best used with a warm retargeting audience. These ads are for users ready to purchase, sign up or talk to sales.
Run all three types concurrently to reach the right audience with the message they are ready for.
Dig deeper: AI and Google advertising: What’s next?
Feed the machine
With AI broadening audiences and your brand competing hard for attention, designing for all the possible placements your ads can serve is important.
Dig into your data to determine which channels and placements work and maximize the available headlines, descriptions and creative options.
You risk limiting your audience pool if you don’t test extensively with various sizes and formats.
Aim for variety while adhering to your brand guidelines. Algorithms need to detect significant differences in the creative to test successfully.
Single-element testing (i.e., green vs. blue) will fatigue the creative faster and cause the audience to ignore the ads. Test varying concepts and designs (i.e., people vs. laptop), always applying previous learnings to new iterations.
Now more than ever, there are more placements on advertising channels to serve ads on. To keep up with various formats across several platforms while catching and holding consumer attention, you may need over 100 different assets for one campaign.
Time and resource constraints are common in this field, so remember quality over quantity. If you can only design a few creative iterations, make them your best.
Generate more output by saving time with generative AI tools like ChatGPT for:
- Creative concepts and ideation.
- Ad copy.
- Localization/translation.
- Audience research.
- HTML5 code generation.
While all of this creative testing sounds like more work, AI features within design tools are helping teams complete tasks in a fraction of the time it used to take.
Here are a few ways AI can speed up creative production:
- Brainstorming preliminary ideas.
- Storyboarding.
- Remove or fill backgrounds.
- Change aspect ratio.
- Photo editing.
- Vector creation.
- Color correction.
- Subtitle generation.
Free and low-cost tools are available to teams on tight budgets.
It’s critical that while AI is used for efficiency, you always prioritize authenticity.
You should never rely on AI for the final product; rather, you should use it as a guide or way to accomplish a task faster.
Always review AI’s work thoroughly and keep your brand tone and voice at the forefront of all designs and messaging.
Design for short attention spans
Teams shouldn’t waste efforts designing content that won’t perform well. Think about the types of content that your audience enjoys consuming and engaging with.
Users are consuming more video than ever, with 92% watching videos each week, according to Statista.
With views and engagement climbing, consumers rely on video for information, not just entertainment. Among the highest-consumed video categories are:
- Tutorials or how-tos.
- Educational content.
- Product reviews.
Algorithms prioritize video to keep users engaged in-platform. Including video in your content mix can improve brand reach and engagement.
Even B2B audiences are consumers at the end of the day so don’t skimp out on channels like Facebook and Instagram.
Video can amplify your narrative and get your brand in front of an audience in the format they are comfortable consuming, but you must be concise.
The attention span of the Gen Z generation is down to 2.8 seconds. AI favors shorter videos to align with consumer behavior. 15 to 30 seconds is the sweet spot, especially for cold audiences.
You need to tell your story quickly. Move the story arc forward to capture attention within the first five seconds of the video and keep it interesting enough to hold their attention in the middle.
The outdated format for storytelling would save that climax for the end, but it’s important to build up to that peak very quickly before the user scrolls on.
Dig deeper: Why video is key to building brand identity and engagement
Harness AI for efficient paid media campaigns
Brands are now like publishers in the speedy way they need to deliver content.
Now is the time to embrace AI as a time-saving tool for your team and to help you keep up with the volume of options the algorithms need to find the right audiences.
Get leaders and creative stakeholders on board with quantifiable results that prove the impact of these efforts.
Keep up with your audience, invest in channels where they spend time and serve content in a familiar format. Feed platforms the best content possible and ensure a frictionless buying experience for your customers.
Guide AI to serve as an extension of your team, helping you accomplish your goals with meaningful outputs.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Thursday, August 8th, 2024
Design thinking is an iterative, user-centric approach to product and software development focusing on the person behind the problem.
In enterprise SEO, design thinking seamlessly integrates SEO features into the core site experience. By focusing on people as the central element in addressing both problems and solutions, design thinking leads to future-proof SEO.
Integrating this approach into enterprise SEO encourages team collaboration, ensuring SEO initiatives are practical, technically feasible and aligned with business goals, all while staying cost effective.
Understanding design thinking in the context of SEO
Ingrained into the SEO process, design thinking shifts the focus from blindly optimizing for search engines toward creating value for the end user.
Many SEOs continue to seek to decipher the “200 ranking factors,” focusing on staying upstream of the never-ending slew of Google algorithm updates and guessing the next SERP layout change.
Resulting SEO “strategies” — or hacks — have a short shelf life, good only until the next core update. Focusing on the short-term works for SEO experimentation in high-risk, high-reward environments. But this is hardly the right approach for real businesses with an eye for long-term growth.
Design-driven and growth-oriented SEOs understand that the real and far more rewarding problem to crack is not the algorithm but the user. It requires knowing your audience, what they want and why and how to solve their problem given existing constraints.
Design thinking introduces a creative and systematic element to problem-solving. It involves understanding user needs, challenging assumptions, redefining problems and creating innovative solutions for prototypes and tests.
The classic process typically includes five stages:
- Empathize.
- Define.
- Ideate.
- Prototype.
- Test.
Empathy
Understand users’ needs, behaviors and motivations.
- Who are your users and/or audiences?
- What problems are they looking to solve?
- What’s their immediate need?
- What’s their ultimate need?
Tackle these questions through persona building. For example, your business is a local classifieds site with various verticals. One of your many user segments could be newcomers to your country.
Immediately, they may be looking for a room or an apartment to rent. But ultimately, they are looking to settle down and build a new life. A classified ads site might be well-positioned to meet their needs at multiple stages of the journey.
Define
Clearly articulate SEO problems and goals based on user insights.
The immediate SEO goal here might be identifying the multitude of ways users may be signaling their intent through:
- Internal and external searches.
- Browsing patterns.
- Types of content viewed.
- Pageviews and searches that tend to occur within the same session.
Create a coherent content mapping that provides the right mix of relevant content to help capture the insights needed to address this overarching need.
Ideate
Brainstorm and generate a list of creative SEO strategies and solutions to address the problem.
Collaborate between analysts, designers, tech, marketers and product. This is the time to brainstorm, capture wild ideas, mull over desired outcomes, dream big and envision possible future states.
Ground the discussion in reality with an understanding of resourcing and tech constraints, immediate business priorities and more.
As enterprise SEOs often sit at the intersection of product, marketing, and tech, you can serve as an arbitrator who helps define some of the core requirements and guide the discussion.
Prototype
Develop proof-of-concepts (POCs) for testing and validating ideas. Simple, fast, low-lift POCs are a great way to validate assumptions and refine selected approaches.
Test
Evaluate solutions through multiple tests and qualitative and quantitative data, then iterate.
Any user-facing SEO changes should involve a two-part testing process.
- First, a limited rollout, an A/B experiment to understand the impact on user experience, engagement and conversion.
- The second should be an SEO test rolled out to all users but restricted to a small portion of the site to understand and confirm the impact on SEO performance before a large-scale rollout.
Dig deeper: Enterprise SEO: Why ‘best practices’ won’t cut it and what to do instead
Cross-functional teams for SEO
When SEOs work in isolation and are unsupported, it often results in mediocre strategies and the risk of a Google penalty, as they are forced to deliver results with limited resources while key decision-makers are distracted.
An SEO working as part of a larger design-oriented team equally invested in growth means shared ownership of outcomes and well-balanced, user-centric and SEO-friendly products.
In enterprise context, in addition to key SEO expertise or “Centers of Excellence,” SEO knowledge and responsibilities should be distributed far across various the organization.
Key roles that require at least some relevant SEO training include:
- Product managers.
- UX/UI designers.
- Developers.
- Content strategists.
- Data analysts.
- QA engineers.
Knowledge sharing and celebrating wins elevate curiosity, SEO expertise and morale.
Regular training sessions and detailed documentation will also help maintain acceptable SEO competence across large matrixed organizations.
Dig deeper: How to build an SEO-forward culture in enterprise organizations
Design thinking in action: Building a header navigation
Imagine you’re an SEO expert at a large ecommerce site. You noticed search engine bots struggle to find content and suspect a lack of consistent site header navigation could be the culprit.
The proposal is to introduce a header navigation, but the process makes all the difference.
Design thinking enhances enterprise SEO by promoting teamwork and focusing on user-centric solutions. It ensures SEO efforts are practical, feasible, and aligned with business goals.
By using design thinking, you can create sustainable, user-friendly SEO strategies for long-term growth.
Dig deeper: 6 steps to a winning enterprise SEO strategy
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Thursday, August 8th, 2024
The allure of a personalized shopping experience is undeniable.
You walk into your favorite clothing store in search of the perfect outfit. Unsure of what to choose, a personal shopper comes up to you. They know exactly what would work, because you’ve told them about your past purchases, current preferences, and budget.
They take you by the hand, show you all the options, and – voilà! You’re all set.
When it comes to outstanding customer experiences, face-to-face personalization works like magic.
The science behind the magic
Personalized attention inspires loyalty, higher spending and revenues.
This has been verified in a recent report by Deloitte, in which surveyed consumers confirmed that they spend 37% more than intended when the shopping experience is personalized.
The report also revealed that brands with advanced personalization capabilities are 48% more likely to exceed revenue goals, at a 9.9% average above target in 2023.
The good news is that today, brands can replicate the in-store personal shopper experience online very effectively and reap all the benefits.
Marketers are already interacting with the deft and care of a personal shopper. Today they are fueled to deliver hyper-personalized, relevant customer messages and experiences at the speed of a consumer’s interaction with the brand.
With the backbone of a robust Customer-Led Marketing platform part of the science behind the magic is AI-enabled marketing and generative AI (genAI), which empower marketers to do the following:
- Gain strategic insights.
- Automate high-performing campaigns.
- Personalize experiences at scale.
- Enable the Position-Less Marketer.
The personalized shopping experience, enhanced by AI
In the case of the customer shopping for the perfect outfit, here’s how a Customer-Led Marketing Platform enhanced by AI-automation and genAI ensures a seamless, personalized relevant shopping experience from start to finish:
Rich customer data integration:
As soon as a shopper visits an online store, the platform’s customer data platform (CDP) integrates historical data, browsing behavior, and preferences. It knows the customer’s favorite brands and shopping habits, like buying during sales.
AI-led journey orchestration
AI predicts preferences and likely next steps. It personalizes website content to highlight outfits that match the customer’s style and suggests new arrivals from favorite brands.
Personalized marketing campaigns
The customer receives an email with a curated selection of outfits similar to their past purchases, along with a special discount to encourage exploring the new collection.
Multichannel integration
While browsing, a personalized SMS is sent as a reminder of the special discount, ensuring the offer is not missed, whether being checked via email or phone.
Real-time decision making
If the customer adds an outfit to their cart but hesitates, the platform triggers a real-time action, offering free shipping if they complete a purchase within the next hour.
Journey mapping and automation
If the customer leaves the website without buying, the platform sends a follow-up email as a reminder of the items left in the cart and an additional incentive to complete the purchase.
Actionable insights and reporting
Post-purchase, the platform analyzes their behavior and campaign effectiveness, refining future strategies to continually meet and anticipate each customer’s personal preferences.
Statistically credible multitouch attribution
The platform tracks every interaction with the brand, from initial email to final purchase, helping the retailer understand the most effective touchpoints.
Customer-led approach
Throughout the customer’s journey, the platform keeps preferences at the forefront, ensuring all marketing efforts are tailored to the customer’s unique tastes and shopping habits, creating a personalized and fantastic shopping experience.
In essence, the platform orchestrates every step of the journey, providing personalized recommendations, timely offers and seamless communication across all channels, enhancing the shopping experience and driving loyalty and satisfaction.
AI personalizing communications at scale
Further, AI enables marketers to coordinate and synchronize hundreds of thousands of customer interactions all at once seamlessly and automatically.
These can be executed across multiple channels, including text, push notifications, and email. And when the content is dynamic, the communication can be automatically populated with messages that are tailored to the specific segment or customer.
AI enabling the Position-Less Marketer
By streamlining, automating and elevating so many marketing tasks, AI has paved the way for Position-less Marketers.
Position-less Marketers go beyond typically siloed functions, such as brand manager, content creator, and digital marketer.
Instead, they do the following:
- Transcend traditional role definitions.
- Embrace versatility with a diverse skill set.
- Easily adapt to varying tasks.
- Prioritize collaboration with multiple teams.
- Leverage data to inform strategies.
As a result, Position-less Marketers can move with speed, deft and accuracy to create deep personal connections with customers. For marketers, they are super-powered to meet evolving consumer needs in real-time, thus delivering highly personalized shopping experiences.
In conclusion
Position-less marketers deliver magical personal shopper experiences to their customers online and at-scale. It’s no longer magic – it’s today’s reality: personalized digital shopping experiences at the speed of a customer’s interaction with the brand.
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
Wednesday, August 7th, 2024
Google is rolling out a new feature for Local Services Ads (LSA) that automatically selects profile photos to display in advertisements.
Why we care. This update aims to increase ad engagement and potentially improve ad rankings for local service providers.
How it works:
- Google will choose photos from advertisers’ LSA profiles based on their likelihood to boost engagement.
- Photos won’t appear in every ad, depending on user queries and other factors.
Key details:
- The feature launches today for all Local Services advertisers.
- Adding photos to LSA profiles can help improve ad rankings.
Google’s recommendations:
- Upload 3-5 high-quality images to your LSA profile.
- Ensure photos are relevant to your work, original, and not copied or stolen.
What to watch. How this change affects ad performance and ranking for local service providers, especially those who haven’t previously focused on visual content in their profiles.
First seen. We were first alerted to this update from Google Ads Liaison, Ginny Marvin’s X:
The bottom line. Local Services advertisers should review and update their profile photos to take full advantage of this new feature and potentially improve their ad performance
Courtesy of Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing
