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Everything You Need To Know

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Everything You Need To Know

Google has just released Bard, its answer to ChatGPT, and users are getting to know it to see how it compares to OpenAI’s artificial intelligence-powered chatbot.

The name ‘Bard’ is purely marketing-driven, as there are no algorithms named Bard, but we do know that the chatbot is powered by LaMDA.

Here is everything we know about Bard so far and some interesting research that may offer an idea of the kind of algorithms that may power Bard.

What Is Google Bard?

Bard is an experimental Google chatbot that is powered by the LaMDA large language model.

It’s a generative AI that accepts prompts and performs text-based tasks like providing answers and summaries and creating various forms of content.

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Bard also assists in exploring topics by summarizing information found on the internet and providing links for exploring websites with more information.

Why Did Google Release Bard?

Google released Bard after the wildly successful launch of OpenAI’s ChatGPT, which created the perception that Google was falling behind technologically.

ChatGPT was perceived as a revolutionary technology with the potential to disrupt the search industry and shift the balance of power away from Google search and the lucrative search advertising business.

On December 21, 2022, three weeks after the launch of ChatGPT, the New York Times reported that Google had declared a “code red” to quickly define its response to the threat posed to its business model.

Forty-seven days after the code red strategy adjustment, Google announced the launch of Bard on February 6, 2023.

What Was The Issue With Google Bard?

The announcement of Bard was a stunning failure because the demo that was meant to showcase Google’s chatbot AI contained a factual error.

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The inaccuracy of Google’s AI turned what was meant to be a triumphant return to form into a humbling pie in the face.

Google’s shares subsequently lost a hundred billion dollars in market value in a single day, reflecting a loss of confidence in Google’s ability to navigate the looming era of AI.

How Does Google Bard Work?

Bard is powered by a “lightweight” version of LaMDA.

LaMDA is a large language model that is trained on datasets consisting of public dialogue and web data.

There are two important factors related to the training described in the associated research paper, which you can download as a PDF here: LaMDA: Language Models for Dialog Applications (read the abstract here).

  • A. Safety: The model achieves a level of safety by tuning it with data that was annotated by crowd workers.
  • B. Groundedness: LaMDA grounds itself factually with external knowledge sources (through information retrieval, which is search).

The LaMDA research paper states:

“…factual grounding, involves enabling the model to consult external knowledge sources, such as an information retrieval system, a language translator, and a calculator.

We quantify factuality using a groundedness metric, and we find that our approach enables the model to generate responses grounded in known sources, rather than responses that merely sound plausible.”

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Google used three metrics to evaluate the LaMDA outputs:

  1. Sensibleness: A measurement of whether an answer makes sense or not.
  2. Specificity: Measures if the answer is the opposite of generic/vague or contextually specific.
  3. Interestingness: This metric measures if LaMDA’s answers are insightful or inspire curiosity.

All three metrics were judged by crowdsourced raters, and that data was fed back into the machine to keep improving it.

The LaMDA research paper concludes by stating that crowdsourced reviews and the system’s ability to fact-check with a search engine were useful techniques.

Google’s researchers wrote:

“We find that crowd-annotated data is an effective tool for driving significant additional gains.

We also find that calling external APIs (such as an information retrieval system) offers a path towards significantly improving groundedness, which we define as the extent to which a generated response contains claims that can be referenced and checked against a known source.”

How Is Google Planning To Use Bard In Search?

The future of Bard is currently envisioned as a feature in search.

Google’s announcement in February was insufficiently specific on how Bard would be implemented.

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The key details were buried in a single paragraph close to the end of the blog announcement of Bard, where it was described as an AI feature in search.

That lack of clarity fueled the perception that Bard would be integrated into search, which was never the case.

Google’s February 2023 announcement of Bard states that Google will at some point integrate AI features into search:

“Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner.

These new AI features will begin rolling out on Google Search soon.”

It’s clear that Bard is not search. Rather, it is intended to be a feature in search and not a replacement for search.

What Is A Search Feature?

A feature is something like Google’s Knowledge Panel, which provides knowledge information about notable people, places, and things.

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Google’s “How Search Works” webpage about features explains:

“Google’s search features ensure that you get the right information at the right time in the format that’s most useful to your query.

Sometimes it’s a webpage, and sometimes it’s real-world information like a map or inventory at a local store.”

In an internal meeting at Google (reported by CNBC), employees questioned the use of Bard in search.

One employee pointed out that large language models like ChatGPT and Bard are not fact-based sources of information.

The Google employee asked:

“Why do we think the big first application should be search, which at its heart is about finding true information?”

Jack Krawczyk, the product lead for Google Bard, answered:

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“I just want to be very clear: Bard is not search.”

At the same internal event, Google’s Vice President of Engineering for Search, Elizabeth Reid, reiterated that Bard is not search.

She said:

“Bard is really separate from search…”

What we can confidently conclude is that Bard is not a new iteration of Google search. It is a feature.

Bard Is An Interactive Method For Exploring Topics

Google’s announcement of Bard was fairly explicit that Bard is not search. This means that, while search surfaces links to answers, Bard helps users investigate knowledge.

The announcement explains:

“When people think of Google, they often think of turning to us for quick factual answers, like ‘how many keys does a piano have?’

But increasingly, people are turning to Google for deeper insights and understanding – like, ‘is the piano or guitar easier to learn, and how much practice does each need?’

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Learning about a topic like this can take a lot of effort to figure out what you really need to know, and people often want to explore a diverse range of opinions or perspectives.”

It may be helpful to think of Bard as an interactive method for accessing knowledge about topics.

Bard Samples Web Information

The problem with large language models is that they mimic answers, which can lead to factual errors.

The researchers who created LaMDA state that approaches like increasing the size of the model can help it gain more factual information.

But they noted that this approach fails in areas where facts are constantly changing during the course of time, which researchers refer to as the “temporal generalization problem.”

Freshness in the sense of timely information cannot be trained with a static language model.

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The solution that LaMDA pursued was to query information retrieval systems. An information retrieval system is a search engine, so LaMDA checks search results.

This feature from LaMDA appears to be a feature of Bard.

The Google Bard announcement explains:

“Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models.

It draws on information from the web to provide fresh, high-quality responses.”

Screenshot of a Google Bard Chat, March 2023

LaMDA and (possibly by extension) Bard achieve this with what is called the toolset (TS).

The toolset is explained in the LaMDA researcher paper:

“We create a toolset (TS) that includes an information retrieval system, a calculator, and a translator.

TS takes a single string as input and outputs a list of one or more strings. Each tool in TS expects a string and returns a list of strings.

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For example, the calculator takes “135+7721”, and outputs a list containing [“7856”]. Similarly, the translator can take “hello in French” and output [‘Bonjour’].

Finally, the information retrieval system can take ‘How old is Rafael Nadal?’, and output [‘Rafael Nadal / Age / 35’].

The information retrieval system is also capable of returning snippets of content from the open web, with their corresponding URLs.

The TS tries an input string on all of its tools, and produces a final output list of strings by concatenating the output lists from every tool in the following order: calculator, translator, and information retrieval system.

A tool will return an empty list of results if it can’t parse the input (e.g., the calculator cannot parse ‘How old is Rafael Nadal?’), and therefore does not contribute to the final output list.”

Here’s a Bard response with a snippet from the open web:

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Google Bard: Everything You Need To KnowScreenshot of a Google Bard Chat, March 2023

Conversational Question-Answering Systems

There are no research papers that mention the name “Bard.”

However, there is quite a bit of recent research related to AI, including by scientists associated with LaMDA, that may have an impact on Bard.

The following doesn’t claim that Google is using these algorithms. We can’t say for certain that any of these technologies are used in Bard.

The value in knowing about these research papers is in knowing what is possible.

The following are algorithms relevant to AI-based question-answering systems.

One of the authors of LaMDA worked on a project that’s about creating training data for a conversational information retrieval system.

You can download the 2022 research paper as a PDF here: Dialog Inpainting: Turning Documents into Dialogs (and read the abstract here).

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The problem with training a system like Bard is that question-and-answer datasets (like datasets comprised of questions and answers found on Reddit) are limited to how people on Reddit behave.

It doesn’t encompass how people outside of that environment behave and the kinds of questions they would ask, and what the correct answers to those questions would be.

The researchers explored creating a system read webpages, then used a “dialog inpainter” to predict what questions would be answered by any given passage within what the machine was reading.

A passage in a trustworthy Wikipedia webpage that says, “The sky is blue,” could be turned into the question, “What color is the sky?”

The researchers created their own dataset of questions and answers using Wikipedia and other webpages. They called the datasets WikiDialog and WebDialog.

  • WikiDialog is a set of questions and answers derived from Wikipedia data.
  • WebDialog is a dataset derived from webpage dialog on the internet.

These new datasets are 1,000 times larger than existing datasets. The importance of that is it gives conversational language models an opportunity to learn more.

The researchers reported that this new dataset helped to improve conversational question-answering systems by over 40%.

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The research paper describes the success of this approach:

“Importantly, we find that our inpainted datasets are powerful sources of training data for ConvQA systems…

When used to pre-train standard retriever and reranker architectures, they advance state-of-the-art across three different ConvQA retrieval benchmarks (QRECC, OR-QUAC, TREC-CAST), delivering up to 40% relative gains on standard evaluation metrics…

Remarkably, we find that just pre-training on WikiDialog enables strong zero-shot retrieval performance—up to 95% of a finetuned retriever’s performance—without using any in-domain ConvQA data. “

Is it possible that Google Bard was trained using the WikiDialog and WebDialog datasets?

It’s difficult to imagine a scenario where Google would pass on training a conversational AI on a dataset that is over 1,000 times larger.

But we don’t know for certain because Google doesn’t often comment on its underlying technologies in detail, except on rare occasions like for Bard or LaMDA.

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Large Language Models That Link To Sources

Google recently published an interesting research paper about a way to make large language models cite the sources for their information. The initial version of the paper was published in December 2022, and the second version was updated in February 2023.

This technology is referred to as experimental as of December 2022.

You can download the PDF of the paper here: Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models (read the Google abstract here).

The research paper states the intent of the technology:

“Large language models (LLMs) have shown impressive results while requiring little or no direct supervision.

Further, there is mounting evidence that LLMs may have potential in information-seeking scenarios.

We believe the ability of an LLM to attribute the text that it generates is likely to be crucial in this setting.

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We formulate and study Attributed QA as a key first step in the development of attributed LLMs.

We propose a reproducible evaluation framework for the task and benchmark a broad set of architectures.

We take human annotations as a gold standard and show that a correlated automatic metric is suitable for development.

Our experimental work gives concrete answers to two key questions (How to measure attribution?, and How well do current state-of-the-art methods perform on attribution?), and give some hints as to how to address a third (How to build LLMs with attribution?).”

This kind of large language model can train a system that can answer with supporting documentation that, theoretically, assures that the response is based on something.

The research paper explains:

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“To explore these questions, we propose Attributed Question Answering (QA). In our formulation, the input to the model/system is a question, and the output is an (answer, attribution) pair where answer is an answer string, and attribution is a pointer into a fixed corpus, e.g., of paragraphs.

The returned attribution should give supporting evidence for the answer.”

This technology is specifically for question-answering tasks.

The goal is to create better answers – something that Google would understandably want for Bard.

  • Attribution allows users and developers to assess the “trustworthiness and nuance” of the answers.
  • Attribution allows developers to quickly review the quality of the answers since the sources are provided.

One interesting note is a new technology called AutoAIS that strongly correlates with human raters.

In other words, this technology can automate the work of human raters and scale the process of rating the answers given by a large language model (like Bard).

The researchers share:

“We consider human rating to be the gold standard for system evaluation, but find that AutoAIS correlates well with human judgment at the system level, offering promise as a development metric where human rating is infeasible, or even as a noisy training signal. “

This technology is experimental; it’s probably not in use. But it does show one of the directions that Google is exploring for producing trustworthy answers.

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Research Paper On Editing Responses For Factuality

Lastly, there’s a remarkable technology developed at Cornell University (also dating from the end of 2022) that explores a different way to source attribution for what a large language model outputs and can even edit an answer to correct itself.

Cornell University (like Stanford University) licenses technology related to search and other areas, earning millions of dollars per year.

It’s good to keep up with university research because it shows what is possible and what is cutting-edge.

You can download a PDF of the paper here: RARR: Researching and Revising What Language Models Say, Using Language Models (and read the abstract here).

The abstract explains the technology:

“Language models (LMs) now excel at many tasks such as few-shot learning, question answering, reasoning, and dialog.

However, they sometimes generate unsupported or misleading content.

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A user cannot easily determine whether their outputs are trustworthy or not, because most LMs do not have any built-in mechanism for attribution to external evidence.

To enable attribution while still preserving all the powerful advantages of recent generation models, we propose RARR (Retrofit Attribution using Research and Revision), a system that 1) automatically finds attribution for the output of any text generation model and 2) post-edits the output to fix unsupported content while preserving the original output as much as possible.

…we find that RARR significantly improves attribution while otherwise preserving the original input to a much greater degree than previously explored edit models.

Furthermore, the implementation of RARR requires only a handful of training examples, a large language model, and standard web search.”

How Do I Get Access To Google Bard?

Google is currently accepting new users to test Bard, which is currently labeled as experimental. Google is rolling out access for Bard here.

Google Bard is ExperimentalScreenshot from bard.google.com, March 2023

Google is on the record saying that Bard is not search, which should reassure those who feel anxiety about the dawn of AI.

We are at a turning point that is unlike any we’ve seen in, perhaps, a decade.

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Understanding Bard is helpful to anyone who publishes on the web or practices SEO because it’s helpful to know the limits of what is possible and the future of what can be achieved.

More Resources:


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Google Performance Max For Marketplaces: Advertise Without A Website

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Google Performance Max advertising campaigns is seen on the webpage of Google for Retail on a smartphone.

Google has launched a new advertising program called Performance Max for Marketplaces, making it easier for sellers on major e-commerce platforms to promote their products across Google’s advertising channels.

The key draw? Sellers no longer need a website or a Google Merchant Center account to start.

The official Google Ads Help documentation states:

“Performance Max for Marketplaces helps you reach more customers and drive more sales of your products using a marketplace. After you connect your Google Ads account to the marketplace, you can create Performance Max campaigns that send shoppers to your products there.”

The move acknowledges the growing importance of online marketplaces like Amazon in product discovery.

For sellers already listing products on marketplaces, Google is providing a way to tap into its advertising ecosystem, including Search, Shopping, YouTube, Gmail, and more.

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As ecommerce marketer Mike Ryan pointed out on LinkedIn:

“Polls vary, but a recent single-choice survey showed that 50% of consumers start product searches on Amazon, while a multiple-choice survey showed that 66% of consumers start on Amazon.”

The source for his data is a 2023 report by PowerReviews.

Getting Started

To use Performance Max for Marketplaces, sellers need an active account on a participating marketplace platform and a Google Ads account.

Google has yet to disclose which marketplaces are included. We contacted Google to request a list and will update this article when we receive it.

Once the accounts are linked, sellers can launch Performance Max campaigns, drawing product data directly from the marketplace’s catalog.

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Google’s documentation states:

“You don’t need to have your own website or Google Merchant Center account.

And:

“You can use your existing marketplace product data to create ads with product information, prices, and images.”

Conversion tracking for sales is handled by the marketplace, with sales of the advertiser’s products being attributed to their Google campaigns.

While details on Performance Max For Marketplaces are still emerging, Google is providing information when asked directly.

Navah Hopkins states on LinkedIn she received these additional details:

“I finally got a straight answer from Google that we DO need a Merchant Center for this, we just don’t need one to start with.”

Differences From Standard Performance Max

These are the key differences from regular Performance Max campaigns:

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  • No URL expansion, automatically-created assets, or video assets
  • No cross-account conversion tracking or new customer acquisition modeling
  • No audience segmentation reporting

Why SEJ Cares

Performance Max for Marketplaces represents a new way to use Google advertising while operating on third-party platforms.

Getting products displayed across Google’s ecosystem without the overhead of a standalone ecommerce presence is a significant opportunity.

How This Can Help You

Through Google’s ecosystem, merchants have new ways to connect with customers.

Performance Max for Marketplaces is a potential difference maker for smaller retailers that have struggled to gain traction through Google’s standard shopping campaigns.

Established merchants invested in Google Ads may find the program opens new merchandising opportunities. By making an entire marketplace catalog available for ad serving, sellers could uncover previously undiscovered pockets of demand.

The success of Performance Max for Marketplaces will depend on its execution and adoption by major players like Amazon and Walmart.


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The 9 Best Landing Page Builders For 2024

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The 9 Best Landing Page Builders For 2024

Generating leads is crucial to boosting your sales – but if your landing pages aren’t effective, you’re going to struggle to turn visitors into customers.

Landing pages play a key role in elevating the effectiveness of your marketing efforts and differentiating, refining, and enhancing the user experience.

In this article, we’ll explore how to choose the right landing page builder for your business before highlighting the nine top landing page builders and what makes them stand out.

Let’s get into it.

Choosing The Right Landing Page Builder For Your Business

With so many options to choose from, how can you decide which landing page builder is right for you?

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Here are a few things to consider when making your decision.

  • Marketing objectives: Start by deciding what you want to achieve with your landing pages. Are you looking to collect email subscribers, drive sales, generate leads, or promote an event? Each platform caters to different use cases, so leading with your goals can help you refine your search.
  • Ease of use: Different builders have different learning curves. If you’re a novice, you should probably opt for a tool that caters to beginners. If you have more technical experience, like coding knowledge, you might want to look to more advanced builders to get the most power.
  • Integration needs: Do you want your landing pages to integrate with other software or tools you’re already using?
  • Mobile optimization: It’s essential that your landing pages cater to mobile users, so make sure your builder considers that with features like responsive design.
  • Budget constraints: Unfortunately, budget matters. Landing page builders come with various price tags depending on their capabilities and features. Make sure you’re working within the boundaries of what you can afford.

While this is, by no means, an exhaustive list of considerations, it’s a starting point to help you choose a landing page builder that makes sense for your business needs.

Now, let’s look at nine of the best landing page builders to choose from.

1. Carrd

Screenshot from Carrd.com, April 2024
  • Best for: Simple projects, personal use, and small budgets.

Looking for a great landing page builder that won’t break the bank? Look no further than Carrd.

Carrd is a streamlined landing page builder that focuses on creating single-page websites quickly and easily. It’s designed for simplicity, making it ideal for anyone who wants to quickly create a webpage without needing to build a multi-page site.

Think portfolios, personal profiles, project presentations, and small business showcases.

Carrd’s user-friendly interface and selection of themes allow users to create sleek pages in the blink of an eye without even needing an account – you can just visit the website, pick a theme, and get started. However, you will need to sign up to save or publish your site.

It balances simplicity and functionality to help you craft that pages are clean, focused, and responsive across all devices. If you’re just testing the waters or working with slim budgets, this is the right tool for you.

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Pros:

  • Extremely affordable, with a free tier available.
  • Intuitive and user-friendly interface.
  • Responsive design.
  • Fast and lightweight, making it ideal for quick and simple sites.

Cons:

  • Limited to single-page websites.
  • Restrictive layouts/themes, which limit creative freedom.
  • Lacks advanced features and integrations found in more comprehensive builders.

Pricing: 

  • Carrd’s free basic plan allows you to launch three sites with Carrd branding to .carrd.co domains.
  • Paid plans range from $9 to $49 per year, and offer additional features like no Carrd branding, custom domains, and Google Analytics support (depending on your membership tier).

2. ConvertKit 

1714739165 738 The 9 Best Landing Page Builders For 2024Screenshot from ConvertKit.com, April 2024
  • Best for: Content creators, bloggers, and marketers focused on growing their audience through email.

Billing itself as “the creator marketing platform,” ConvertKit’s landing page builder is targeted at creators, bloggers, and marketers who want to expand their email subscriber base.

If your goal is to create a landing page to help you build an email list, ConvertKit might be the right option for you.

ConvertKit’s landing page builder offers a range of high-quality, customizable templates and integrates with third-party tools to help you get the most out of your site.

It also integrates with the stock photo platform Unsplash to offer access to 100,000+ free images for your landing page.

While ConvertKit’s analytics and customization options might not be as extensive as those of some of its competitors, its ease of use and focused approach make it a standout for email-driven campaigns.

Pros:

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  • No cost for starting (up to 1,000 subscribers).
  • Access to thousands of free images.
  • Robust third-party integration capabilities.

Cons:

  • Limited template customization and flexibility.
  • A/B testing and analytics features are less advanced.
  • Priced higher than some basic landing page builders.

Pricing:

  • Free plan for up to 10,000 subscribers.
  • The Creator plan starts at $25/month and includes benefits like automation features and app integrations. Pricing scales are based on subscriber count.

3. Unbounce

1714739165 787 The 9 Best Landing Page Builders For 2024Screenshot from Unbounce.com, April 2024

Unbounce is a leading landing page builder renowned for its focus on conversion rate optimization (CRO). Its website promises to help you “build high-converting landing pages with ease.”

It offers a suite of advanced tools, such as A/B testing, dynamic text replacement, and the Smart Traffic system, which uses AI to optimize visitor flow to the highest-converting page variant based on user behavior and characteristics.

It also focuses on features that can help you boost your lead gen efforts, such as opt-in email popups and sticky banners.

With 100+ responsive templates, Unbound makes it easy to create landing pages that are both engaging and effective.

Compared to some other options on this list, Unbounce is a particularly robust platform with tons of customization and integrations – and the price point reflects that.

As a premium offering with a steeper learning curve, it might not be the best for beginners – but its AI-powered features and conversion-focused tools make it a formidable tool for achieving your goals.

Pros:

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  • Advanced A/B testing and AI-driven optimization.
  • Large selection of responsive templates.
  • Integrated features for enhancing lead capture.

Cons:

  • Higher price point than some other builders, which might not work for those with limited budgets.
  • Complex setup and steeper learning curve for new users.
  • Some customization limitations.

Pricing

  • The Build plan starts at $74/month and covers unlimited conversions, one root domain, and up to 20,000 monthly unique visitors.
  • Other paid plans range from $112/month up to $649/month.

4. Leadpages

1714739166 24 The 9 Best Landing Page Builders For 2024Screenshot from Leadpages.com, April 2024
  • Best for: Small businesses and entrepreneurs looking to generate sales.

Need a landing page that will help you generate sales? Consider taking a look at Leadpages.

Its strength lies in its user-friendly, drag-and-drop editor and an extensive collection of templates that streamline the page-building process. Plus, according to the Leadpages website, it’s a platform that converts five times better than the industry average.

Leadages offers CRO tools, real-time analytics, and A/B testing capabilities, enabling users to enhance their page performance effectively.

Its various widgets allow you to add videos, images, forms, and even payment integrations directly onto your landing pages, making it a versatile tool for businesses that want to combine content with sales functionality.

On top of all this, Leadpages now includes an AI Engine for creating headlines and images and an AI writing assistant at some membership tiers, which can help you write better content.

Pros:

  • Intuitive no-code editor and easy payment integration.
  • Comprehensive A/B testing and real-time analytics.
  • Extensive template library with over 250 options.

Cons:

  • Higher cost compared to some alternatives.
  • Limited ecommerce features and potential mobile responsiveness issues.
  • Some users report mobile responsiveness issues.

Pricing:

  • The standard plan starts at $37/month for one custom domain, unlimited traffic and leads, and 10,000 monthly AI Engine credits.
  • More advanced features are available in higher-tier plans, which start at $74/month.

5. Landingi

1714739166 311 The 9 Best Landing Page Builders For 2024Screenshot from Landingi.com, April 2024
  • Best for: Businesses seeking a versatile landing page solution with a wide range of features.

If you’re in the market for versatility, Landingi is worth investigating.

Landingi offers a flexible, comprehensive landing page builder with a robust set of features, including an advanced editor, popups, A/B testing, and a substantial library of 300+ templates.

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Its unique Smart Sections feature allows you to reuse and easily update specific page elements across multiple designs, saving time and headaches.

Designed to serve businesses of all sizes, Landingi’s simple, drag-and-drop builder can help you create and optimize various types of landing pages – and if you have any HTML and CSS knowledge, it can be a pretty impressive editor.

Landingi is a particularly strong choice for small businesses looking to target different customer segments with unique landing pages. The integration capabilities with numerous apps, including payment gateways like Stripe, make it a great choice for companies looking to sell products.

While its rich feature set can be overwhelming for newcomers, and creating pages might take a bit longer compared to other platforms, the level of customization and control it offers makes Landingi one of the best landing page builders out there.

Pros:

  • Extensive template library with 300+ customizable options.
  • Powerful editing capabilities with Smart Sections for efficient design.
  • Broad integration with various apps, including payment systems.

Cons:

  • Steeper learning curve for beginners.
  • Potentially longer time to create landing pages compared to simpler platforms.

Pricing:

  • The Lite plan starts at $35/month and gives you 10 digital assets, unlimited conversions, 5,000 visits per month, and one custom domain.
  • Landingi also offers Professional and Unlimited tiers with more advanced features and capabilities.

6. Instapage

1714739166 945 The 9 Best Landing Page Builders For 2024Screenshot from Instapage.com, April 2024
  • Best for: Large businesses, marketing teams, or agencies that require collaboration and advanced optimization features.

If you’re seeking a more high-end landing page platform, Instapage might be the one for you. It offers advanced features tailored for professional marketing teams and agencies with a need to create optimized landing pages at scale.

In addition to a drag-and-drop builder and plenty of high-quality templates, Instapage offers a bevy of features, including advanced cloud-based team collaboration tools, heatmaps for user engagement analysis, robust A/B testing capabilities, AI-generated content creation, and more.

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One of its standout features is Instablocks, which allows users to create custom page components that can be easily reused across different projects.

Instapage supports advanced marketing goals with features like AdMap to align ads with page content. Plus, its mobile-friendly design ensures a fast, seamless user experience.

While Instapage offers a premium experience with its comprehensive set of tools and features, its higher price point and complex functionalities may be a barrier for smaller businesses or those new to landing page optimization.

Pros:

  • Extensive customization with a library of professional templates.
  • Instablocks for efficient design and asset reuse.
  • Effective team collaboration features.

Cons:

  • Premium pricing will be a barrier for many businesses.
  • Steep learning curve for utilizing advanced features.
  • Limitations in reporting and visitor tracking for lower-tier plans.

Pricing:

  • The Build plan starts at $199/month, with a 14-day free trial.
  • Customers will need to upgrade to a customized Convert plan to access some of the more complex features, such as AdMap, heatmaps, and more.

7. Wix 

1714739166 903 The 9 Best Landing Page Builders For 2024Screenshot from Wix.com, April 2024
  • Best for: Individuals and small businesses seeking creative control without advanced coding.

Now for something much more accessible: Wix is renowned for its user-friendly platform, which is ideal for creating attractive landing pages with minimal effort.

Like other options on this list, Wix offers an accessible drag-and-drop editor and a range of existing templates to help users craft aesthetically pleasing and functional landing pages.

Wix’s platform has a reputation for being particularly beginner-friendly, with a low learning curve and a free plan to help new users get started without any upfront investment.

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For those focused on ecommerce, Wix provides specific features to build landing pages that showcase products and promotions, supported by over 50 payment solutions and tools like heatmaps to enhance user engagement and conversion rates.

While it offers a free starter plan, accessing more advanced functionalities and removing Wix ads requires upgrading to a paid subscription.

Wix’s balance of user-friendly design tools, ecommerce support, and cost-effective pricing makes it a favorable option for those new to web design or businesses needing straightforward, visually appealing landing pages.

Pros:

  • User-friendly with an intuitive drag-and-drop interface.
  • Free plan available, making it accessible for beginners.
  • Ecommerce capabilities with extensive payment integration.

Cons:

  • Advanced features and ad-free experience require a paid plan.
  • Potential limitations in customization for complex requirements.
  • Site speed may decrease with more intricate designs.

Pricing:

  • A free plan is available, but it includes Wix branding and lacks more advanced features like payments.
  • Paid plans start at $17/month, offering additional features.

8. Elementor

1714739166 573 The 9 Best Landing Page Builders For 2024Screenshot from Elementor.com, April 2024
  • Best for: WordPress users looking for a powerful and intuitive landing page builder.

If you’re a WordPress user, you’ll want to know about Elementor.

It’s a WordPress page builder that has gained popularity for its flexibility, comprehensive customization capabilities, and user-friendly interface.

Elementor allows users to design dynamic and detailed landing pages within WordPress. This feature makes it the perfect choice for WordPress users who want to extend the functionality of their website with sleek landing pages that maintain a consistent look and feel with their existing content.

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Its real-time editing features allow for immediate feedback on design changes without any coding.

It also offers dozens of designer-made templates to choose from. You can add custom forms and popups to your landing page, save page components for reuse, and seamlessly integrate with your customer relationship management (CRM) tools to create a powerful customer experience.

While Elementor offers a ton in terms of design flexibility and integration, it’s important to note that it’s exclusively for WordPress users and can be resource-intensive – so it might impact site performance, especially on more complex websites.

Pros:

  • Advanced customization and design flexibility.
  • Real-time editing and instant feedback.
  • Seamless WordPress integration.

Cons:

  • Exclusively for WordPress users.
  • Potentially impacts site performance due to resource intensity.

Pricing:

  • Free version with limited functionality.
  • Paid versions start at $59/year, providing advanced features and support.

9. Taplink

1714739166 136 The 9 Best Landing Page Builders For 2024Screenshot from Taplink.at, April 2024
  • Best for: Social media influencers and businesses looking to direct traffic from social platforms to other content or actions.

This one’s a little different than some of the other examples here, but it deserves highlighting.

Taplink is a specialized micro-landing page builder optimized for social media profiles. It’s perfect for businesses and influencers that want to drive traffic from social media to other content or actions. You just use Taplink to create landing pages and share them on your social profiles.

Taplink stands out for its simplicity and mobile optimization, which is crucial when targeting social media audiences.

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The focus on quick, effective page creation allows users to engage with their audience without the complexities of traditional website development.

For those aiming to convert social media interest into tangible outcomes – such as lead generation, sales, or content promotion – Taplink is a winner.

While its feature set is more limited than some of the more comprehensive builders featured here, its affordability and user-friendly design make it a great tool for those looking to maximize their social engagement with minimal effort and investment.

Pros:

  • Simple and quick setup.
  • Mobile-optimized for social media engagement.
  • Cost-effective for targeted campaigns.

Cons:

  • Designed primarily for micro-landing pages, limiting the scope.
  • Fewer features and customization options than extensive landing page builders.

Pricing:

  • Taplink offers a free basic plan, with premium features available on paid plans starting from $3/month. The most expensive tier, the Business tier, is $6/month.

There’s A Landing Page Platform To Help You Convert Visitors

Choosing the right landing page builder for your business can significantly impact your marketing success – but the decision will depend on your specific goals and needs.

As we’ve explored, each tool has unique strengths and caters to different aspects of the landing page creation and optimization process.

Whether you’re looking for advanced design capabilities, a user-friendly interface, or specific functionalities like CRO, there’s a platform that can help you not just streamline your landing page design process, but start converting visitors into loyal customers.

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Featured Image: Griboedov/Shutterstock

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SEO

Google’s Search Engine Market Share Drops As Competitors’ Grows

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Assorted search engine apps including Google, You.com and Bing are seen on an iPhone. Microsoft plans to use ChatGPT in Bing, and You.com has launched an AI chatbot.

According to data from GS Statcounter, Google’s search engine market share has fallen to 86.99%, the lowest point since the firm began tracking search engine share in 2009.

The drop represents a more than 4% decrease from the previous month, marking the largest single-month decline on record.

Screenshot from: https://gs.statcounter.com/search-engine-market-share/, May 2024.

U.S. Market Impact

The decline is most significant in Google’s key market, the United States, where its share of searches across all devices fell by nearly 10%, reaching 77.52%.

1714669058 226 Googles Search Engine Market Share Drops As Competitors GrowsScreenshot from: https://gs.statcounter.com/search-engine-market-share/, May 2024.

Concurrently, competitors Microsoft Bing and Yahoo Search have seen gains. Bing reached a 13% market share in the U.S. and 5.8% globally, its highest since launching in 2009.

Yahoo Search’s worldwide share nearly tripled to 3.06%, a level not seen since July 2015.

1714669058 375 Googles Search Engine Market Share Drops As Competitors GrowsScreenshot from: https://gs.statcounter.com/search-engine-market-share/, May 2024.

Search Quality Concerns

Many industry experts have recently expressed concerns about the declining quality of Google’s search results.

A portion of the SEO community believes that the search giant’s results have worsened following the latest update.

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These concerns have begun to extend to average internet users, who are increasingly voicing complaints about the state of their search results.

Alternative Perspectives

Web analytics platform SimilarWeb provided additional context on X (formerly Twitter), stating that its data for the US for March 2024 suggests Google’s decline may not be as severe as initially reported.

SimilarWeb also highlighted Yahoo’s strong performance, categorizing it as a News and Media platform rather than a direct competitor to Google in the Search Engine category.

Why It Matters

The shifting search engine market trends can impact businesses, marketers, and regular users.

Google has been on top for a long time, shaping how we find things online and how users behave.

However, as its market share drops and other search engines gain popularity, publishers may need to rethink their online strategies and optimize for multiple search platforms besides Google.

Users are becoming vocal about Google’s declining search quality over time. As people start trying alternate search engines, the various platforms must prioritize keeping users satisfied if they want to maintain or grow their market position.

It will be interesting to see how they respond to this boost in market share.

What It Means for SEO Pros

As Google’s competitors gain ground, SEO strategies may need to adapt by accounting for how each search engine’s algorithms and ranking factors work.

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This could involve diversifying SEO efforts across multiple platforms and staying up-to-date on best practices for each one.

The increased focus on high-quality search results emphasizes the need to create valuable, user-focused content that meets the needs of the target audience.

SEO pros must prioritize informative, engaging, trustworthy content that meets search engine algorithms and user expectations.

Remain flexible, adaptable, and proactive to navigate these shifts. Keeping a pulse on industry trends, user behaviors, and competing search engine strategies will be key for successful SEO campaigns.


Featured Image: Tada Images/Shutterstock



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