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10 Best Google Optimize Alternatives for 2023



10 Best Google Optimize Alternatives for 2023

Google Optimize, the freemium A/B testing and analytics Google tool, is being sunset.

Google Optimize and its larger enterprise version, Optimize 360, will no longer be available from September 30, 2023. And users suddenly find themselves in the market for a new testing and analytics tool.

To help you transition to an alternative tool, we looked for the 10 best Google Optimize alternatives and have an overview of each to help you make the best decision for your needs.

What Are Google Optimize & Optimize 360?

First launched on June 1, 2012, as Google Website Optimizer, Google Optimize, as it came to be known, is a web analytics and testing tool.

It allows webmasters to experiment with their web pages and test variants to see how they perform against specified objectives.

It consists of two main elements:

  • The Editor – A Chrome plugin, this allows you to change visual HTML elements for testing, including buttons, calls to action (CTAs), and page structure. It applies a JavaScript customized to the rules of your experiment and works with a variety of devices.
  • The Reporting Suite – Using data from your linked Google Analytics account, it provides you with tangible data about these experiments.

Combined, these allow webmasters to utilize A/B testing of new content, designs, and layouts on a subset of visitors.

Metrics provide insight into what’s working, allowing website owners to make educated decisions about their pages.

Prior to the advent of tools like this, designers were forced to rely on instinct and feel to determine what works best.

The free version, Optimize, allows users to run up to 5 experiments simultaneously, while the paid version, Optimize 360, lets you run more than 100 at a time.

Why Is Google Optimize Being Sunset?

Users of Optimize have been critical of the platform’s features, particularly on the free version, which restricts the number of tests, goals, variables, and runtime for experiments.

The free version also lacks dedicated customer support and has been accused of inflating visitor count.

Additionally, it requires the installation of an anti-flicker snippet that can impact loading time to ensure visitors don’t receive a momentary glimpse of the original page.

These problems, as well as a general lack of features and services required by customers for experimentation, led to Google’s decision to end Optimize and Optimize 360.

Instead, it has begun investing in third-party integrations for Google Analytics 4 that will provide better, more effective solutions for version testing and improving user experiences.

The 10 Best Google Optimize Alternatives

If you’re looking for something that offers the functionality of Google Optimize and Optimize 360, here are some alternatives you should consider:

1. Convert Experiences

A fast and flicker-free versioning tool, Convert Experiences offers advanced testing options, including A/B, split, multivariate, and multipage testing.

Screenshot from Convert Experiences, February 2023


Users can target a highly specific audience using more than 40 filters, and collision prevention stops visitors from being exposed to more than one experiment at a time.

Partial Features List:

  • Over 90 integrations, including Google Analytics.
  • A/B testing.
  • Visual editor.
  • Code editor.
  • Traffic allocation.
  • Preview mode.
  • Device targeting.
  • Cross-domain testing.

Price: $99-$1,599/month.

2.  VWO Testing

Visual Website Optimizer, or VWO Testing, allows users to create and test user experiences without the need for deep technical knowledge.

VWO TestingScreenshot from VWO Testing, February 2023


Using templated widgets and a point-and-click visual editor (a code editor is also included), this testing tool is designed to make prototyping and testing quick and easy.

Partial Features List:

  • Extensive integrations, including Google Analytics and Adobe Analytics.
  • Bayesian-powered statistics.
  • Segmented results.
  • Parallel load time.
  • Visitor heatmaps and recordings.
  • Test results recording and archiving.
  • Kanban boards.
  • Full-funnel tracking.

Price: Free limited version, paid versions start at $356/month.

3. Kameleoon

Intended for enterprise-level organizations, Kameleoon offers full stack and feature experimentation in one optimization solution.

Kameleoon toolScreenshot from Kameleoon, February 2023


Providing more in-depth experimentation into both user experiences and server-side changes, it allows your web team to view all statistical data in one location.

HIPAA-certified, it also includes extensive privacy features and a machine-learning model to help predict visitor intent and accurately segment your audience.

Partial Features List:

  • More than 30 integrations, including Adobe and Google.
  • Data privacy, security, and consent management tools.
  • Visual and code editors.
  • Dynamic traffic allocation
  • 45+ native audience segmentation criteria.
  • KPI tracking.

Price: Quote based.

4. Zoho PageSense

Designed to help you understand what’s working on your website, as well as how your visitors are interacting with your site, Zoho PageSense has a range of tools for tracking, analysis, optimization, and personalization.

Zoho PageSenseScreenshot from Zoho PageSense, February 2023


In addition to content optimization, it allows you to analyze the effectiveness of pop-ups, forms, and dropdowns.

Unlike other options, it does not provide an advanced code editor, and tests are limited to 10 projects with 50 total goals.

Partial Features List:

  • Numerous, including Google Ads and Analytics.
  • Funnel analysis tools.
  • Visual heatmaps.
  • A/B and split URL testing.
  • Polling functionality.
  • Personalization options.

Price: $12-780/month, depending on functionality and monthly visitors.

5. AB Tasty

Another platform designed to integrate marketing and growth with back-end developments and products, AB Tasty provides a range of tools for experimentation.

AB_TastyScreenshot from AB Tasty, February 2023


The marketing functionality, which is what most people looking for a Google Optimize replacement will be interested in, is a user-friendly, low-code way to experiment with various changes and optimize a website.

Partial Features List:

  • Third-party integrations.
  • A/B and multivariate testing.
  • Traffic allocation
  • AI-personalization.
  • Data-driven segmentation.
  • Granular campaign triggers.

Price: Quote based.

6. Omniconvert Explore

Designed specifically for retailers and ecommerce sites, Omniconvert Explore offers a variety of personalization and segmentation tools to help you optimize your site for more sales.

Omniconvert ExploreScreenshot from Omniconvert Explore, February 2023


It’s used by more than 10,000 companies and includes more than 100 overlay templates, as well as a helpful experiment debugger.

Partial Features List:

  • A/B testing.
  • Web personalization.
  • Survey tools.
  • CDN cache bypass.
  • CSS and JavaScript editor.
  • API access.
  • Bayesian & Frequentist statistics.

Price: $390-12,430+/month. Custom pricing is available.

7. Optimizely

Providing three products running the gamut of testing from planning to monetization, Optimizely is intended to optimize every customer touchpoint.

OptimizelyScreenshot from Optimizely, February 2023


Optimizely Experiment provides the same functionality as Google Optimize – and then some – allowing you to take a scientific approach to visitor experiences across channels and devices, with data that refreshes every 90 seconds.

Partial Features List:

  • Low and no-code experiment options.
  • Content management functionality.
  • Headless API.
  • Real-time segmentation and validated assumptions at scale.
  • Experiment lifecycle management.
  • Feature flagging and rollouts.
  • Collaboration tools.

Price: Quote based.

8. Adobe Target

The creator of Acrobat and InDesign also offers an audience-targeting experimentation tool in the form of Adobe Target.

Using machine learning algorithms, it provides AI-powered user experience testing while offering personalization and automation at scale.

Adobe TargetScreenshot from Adobe Target, February 2023


Generally used by enterprise-level organizations, it seamlessly interfaces with Adobe’s analytics tools – but is only available as part of the company’s Marketing Cloud.

Partial Features List:

  • Intuitive interface.
  • A/B and multivariate testing.
  • Automated omnichannel personalization.
  • AI-assisted experience targeting.
  • Simultaneous execution of multiple tests.

Price: Quote based.

9. SiteSpect

SiteSpect is an A/B testing and experimentation tool that bills itself as the pioneer in the field.

Geared toward enterprise-level organizations with high site traffic, it has tools for marketers, product managers, developers, and network operations.

SiteSpectScreenshot from SiteSpect, February 2023


All of these tools serve to improve conversion rates and raise revenue.

Partial Features List:

  • Third-party integrations.
  • A/B and multivariate testing.
  • AI-powered behavioral and contextual targeting.
  • Omnichannel and device targeting.
  • High-volume personalization tools.
  • Visual editor.
  • Flicker-free.
  • SEO-friendly.

Price: Quote based.

10. DynamicYield Experience OS

Another tool geared toward high-volume sites, DynamicYield Experience OS allows you to algorithmically match content, offers, and products to individual visitors to your website.

DynamicYieldScreenshot from DynamicYield Experience OS, February 2023


Working across teams, it is designed to allow you to offer a wide array of seamless experiences and adjust your personalization program to your specific field and KPIs.

Partial Features List:

  • Agnostic platform designed to be future-proof.
  • A/B testing.
  • Extensive personalization across channels and touchpoints.
  • Customizable to your needs.
  • Predictive test improvement via machine learning.
  • Client- and server-side tools.
  • Extensive support and resources.

Price: Quote based.

It’s Time To Move On From Google Optimize

Google Optimize was a useful tool, but with its sunset date in sight already, you can’t wait until the last minute to decide on its replacement.

And while dozens of options are available for A/B testing, not all of them will suit your unique needs.

Before you decide, take careful stock of how you’re currently using Google Optimize or Optimize 360. Look at the features you’re using the most, as well as what increased functionality you would enjoy.

Then carefully evaluate your options to find the best testing tools for you.

Luckily, most platforms listed here offer some form of trial basis or demo, so you can get a first-hand look at what they’re offering and how they work before pulling the trigger on a long-term deal.

Don’t be afraid to explore your options, including platforms that are not listed here.

No one knows your requirements better than you, but by carefully doing your homework and evaluating your needs, you can find the best tool for increasing visitor satisfaction and boosting your results.

More resources: 

Featured Image: VectorMine/Shutterstock

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Google’s AI Overviews Go Viral, Draw Mainstream Media Scrutiny




Google's AI Overviews Go Viral, Draw Mainstream Media Scrutiny

Google’s rollout of AI-generated overviews in US search results is taking a disastrous turn, with mainstream media outlets like The New York Times, BBC, and CNBC reporting on numerous inaccuracies and bizarre responses.

On social media, users are sharing endless examples of the feature’s nonsensical and sometimes dangerous output.

From recommending non-toxic glue on pizza to suggesting that eating rocks provides nutritional benefits, the blunders would be amusing if they weren’t so alarming.

Mainstream Media Coverage

As reported by The New York Times, Google’s AI overviews struggle with basic facts, claiming that Barack Obama was the first Muslim president of the United States and stating that Andrew Jackson graduated from college in 2005.

These errors undermine trust in Google’s search engine, which more than two billion people rely on for authoritative information worldwide.

Manual Removal & System Refinements

As reported by The Verge, Google is now scrambling to remove the bizarre AI-generated responses and improve its systems manually.

A Google spokesperson confirmed that the company is taking “swift action” to remove problematic responses and using the examples to refine its AI overview feature.

Google’s Rush To AI Integration

The flawed rollout of AI overviews isn’t an isolated incident for Google.

As CNBC notes in its report, Google made several missteps in a rush to integrate AI into its products.

In February, Google was forced to pause its Gemini chatbot after it generated inaccurate images of historical figures and refused to depict white people in most instances.

Before that, the company’s Bard chatbot faced ridicule for sharing incorrect information about outer space, leading to a $100 billion drop in Google’s market value.

Despite these setbacks, industry experts cited by The New York Times suggest that Google has little choice but to continue advancing AI integration to remain competitive.

However, the challenges of taming large language models, which ingest false information and satirical posts, are now more apparent.

The Debate Over AI In Search

The controversy surrounding AI overviews adds fuel to the debate over the risks and limitations of AI.

While the technology holds potential, these missteps remind everyone that more testing is needed before unleashing it on the public.

The BBC notes that Google’s rivals face similar backlash over their attempts to cram more AI tools into their consumer-facing products.

The UK’s data watchdog is investigating Microsoft after it announced a feature that would take continuous screenshots of users’ online activity.

At the same time, actress Scarlett Johansson criticized OpenAI for using a voice likened to her own without permission.

What This Means For Websites & SEO Professionals

Mainstream media coverage of Google’s erroneous AI overviews brings the issue of declining search quality to public attention.

As the company works to address inaccuracies, the incident serves as a cautionary tale for the entire industry.

Important takeaway: Prioritize responsible use of AI technology to ensure the benefits outweigh its risks.

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New Google Search Ads Resemble AI Assistant App




New Google Search Ads Resemble AI Assistant App

A keynote at Google’s Marketing Live event showed a new AI-powered visual search results that feature advertisements that engage users within the context of an AI-Assisted search, blurring the line between AI-generated search results and advertisements.

Google Lens is a truly helpful app but it becomes unconventional where it blurs the line between an assistant helping users and being led to a shopping cart. This new way of engaging potential customers with AI is so far out there that the presenter doesn’t even call it advertising, he doesn’t even use the word.

Visual Search Traffic Opportunity?

Google’s Group Product Manager Sylvanus Bent, begins the presentation with an overview of the next version of Google Lens visual search that will be useful for surfacing information and for help finding where to buy them.

Sylvanus explained how it will be an opportunity for websites to receive traffic from this new way to search.

“…whether you’re snapping a photo with lens or circling to search something on your social feed, visual search unlocks new ways to explore whatever catches your eye, and we recently announced a newly redesigned results page for Visual search.

Soon, instead of just visual matches, you’ll see a wide range of results, from images to video, web links, and facts about the knowledge graph. It gets people the helpful information they need and creates new opportunities for sites to be discovered.”

It’s hard to say whether or not this will bring search traffic to websites and what the quality of that traffic will be. Will they stick around to read an article? Will they engage with a product review?

Visual Search Results

Sylvanus shares a hypothetical example of someone at an airport baggage claim who falls in like with someone else’s bag. He explains that all the person needs to do is snap a photo of the luggage bag and Google Lens will take them directly to shopping options.

He explains:

“No words, no problem. Just open Lens, take a quick picture and immediately you’ll see options to purchase.

And for the first time, shopping ads will appear at the very top of the results on linked searches, where a business can offer what a consumer is looking for.

This will help them easily purchase something that catches their eye.”

These are image-heavy shopping ads at the top of the search results and as annoying as that may be it’s nowhere near the “next level” advertising that is coming to Google’s search ads where Google presents a paid promotion within the context of an AI Assistant.

Interactive Search Shopping

Sylvanus next describes an AI-powered form advertising that happens directly within search. But he doesn’t call it advertising. He doesn’t even use the word advertising. He suggests this new form of AI search experience is more than offer, saying that, “it’s an experience.”

He’s right to not use the word advertisement because what he describes goes far beyond advertising and blurs the boundaries between search and advertising within the context of AI-powered suggestions, paid suggestions.

Sylvanus explains how this new form of shopping experience works:

“And next, imagine a world where every search ad is more than an offer. It’s an experience. It’s a new way for you to engage more directly with your customers. And we’re exploring search ads with AI powered recommendations across different verticals. So I want to show you an example that’s going live soon and you’ll see even more when we get to shopping.”

He uses the example of someone who needs to store their furniture for a few months and who turns to Google to find short term storage. What he describes is a query for local short term storage that turns into a “dynamic ad experience” that leads the searcher into throwing packing supplies into their shopping cart.

He narrated how it works:

“You search for short term storage and you see an ad for extra space storage. Now you can click into a new dynamic ad experience.

You can select and upload photos of the different rooms in your house, showing how much furniture you have, and then extra space storage with help from Google, AI generates a description of all your belongings for you to verify. You get a recommendation for the right size and type of storage unit and even how much packing supplies you need to get the job done. Then you just go to the website to complete the transaction.

And this is taking the definition of a helpful ad to the next level. It does everything but physically pick up your stuff and move it, and that is cool.”

Step 1: Search For Short Term Storage

1716722762 15 New Google Search Ads Resemble AI Assistant App

The above screenshot shows an advertisement that when clicked takes the user to what looks like an AI-assisted search but is really an interactive advertisement.

Step 2: Upload Photos For “AI Assistance”

1716722762 242 New Google Search Ads Resemble AI Assistant App

The above image is a screenshot of an advertisement that is presented in the context of AI-assisted search.  Masking an advertisement within a different context is the same principal behind an advertorial where an advertisement is hidden in the form of an article. The phrases “Let AI do the heavy lifting” and “AI-powered recommendations” create the context of AI-search that masks the true context of an advertisement.

Step 3: Images Chosen For Uploading

1716722762 187 New Google Search Ads Resemble AI Assistant App

The above screenshot shows how a user uploads an image to the AI-powered advertisement within the context of an AI-powered search app.

The Word “App” Masks That This Is An Ad

Screenshot of interactive advertisement for that identifies itself as an app with the words

Above is a screenshot of how a user uploads a photo to the AI-powered interactive advertisement within the context of a visual search engine, using the word “app” to further the illusion that the user is interacting with an app and not an advertisement.

Upload Process Masks The Advertising Context

Screenshot of interactive advertisement that uses the context of an AI Assistant to mask that this is an advertisement

The phrase “Generative AI is experimental” contributes to the illusion that this is an AI-assisted search.

Step 4: Upload Confirmation

1716722762 395 New Google Search Ads Resemble AI Assistant App

In step 4 the “app” advertisement is for confirming that the AI correctly identified the furniture that needs to be put into storage.

Step 5: AI “Recommendations”

1716722762 588 New Google Search Ads Resemble AI Assistant App

The above screenshot shows “AI recommendations” that look like search results.

The Recommendations Are Ad Units

1716722762 751 New Google Search Ads Resemble AI Assistant App

Those recommendations are actually ad units that when clicked takes the user to the “Extra Space Storage” shopping website.

Step 6: Searcher Visits Advertiser Website

1716722762 929 New Google Search Ads Resemble AI Assistant App

Blurring The Boundaries

What the Google keynote speaker describes is the integration of paid product suggestions into an AI assisted search. This kind of advertising is so far out there that the Googler doesn’t even call it advertising and rightfully so because what this does is blur the line between AI assisted search and advertising. At what point does a helpful AI search become just a platform for using AI to offer paid suggestions?

Watch The Keynote At The 32 Minute Mark

Featured Image by Shutterstock/Ljupco Smokovski

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How Do I Get A Job With A PPC Agency




Conversion Tracking In PPC Campaigns

This month’s “Ask A PPC” question is particularly significant because the job market has been quite volatile.

“How do I get a job with a PPC agency when I have only worked in-house. What experience would they want?” – Karl Toronto

It’s understandable that people want to know which skills employers seek when hiring for a PPC team. There can be a disparity between what people think they need and what the market actually demands.

We’ll delve into some data and commentary to explain why various traits are valued.

It’s crucial to understand that the ideal candidates will be versatile and have an aptitude for all aspects of digital marketing.

However, no one can excel at everything, so leveraging your strengths or preferences is beneficial.

Ensure that you’re securing the best role for yourself while the company hiring you finds the best fit for them.

Here Are The Essential Skills

  • Analytics.
  • Creativity.
  • Ad network knowledge.
  • Willingness to test/learn.
  • Culture fit.

Discrepancy Between Market Demands And Perceived Needs

I conducted a poll on my LinkedIn to gauge the skills desired by current employers and practitioners.

Screenshot from author, LinkedIn, April 2024

Analytical skills emerged as the most sought-after trait. Employers seek individuals who can interpret numbers and discern the story behind them.

However, relying solely on analytical prowess may overlook the importance of creativity.

Creative skills are vital in today’s ad networks, especially emphasizing visual content like videos and campaign types that force visual content (Performace Max/Demand Gen). Neglecting creativity can hinder a company’s branding efforts.

Unexpectedly, ad network skills and cultural fit were deemed far less critical than analytical skills. Brands should prioritize team cohesion for long-term success, yet this aspect is often undervalued.

The disparity between job descriptions and actual skill requirements contributes to the difficulty in the job market.

Agencies that hire for how PPC used to work will be left wanting. Practitioners who only focus on popular skills instead of needed ones will be made obsolete by the privacy-first era obscuring data and AI owning creative.

Analytical Skills

Analytical abilities involve knowing where to find relevant data sources and understanding how they contribute to success.

While PPC historically relied on measurable outcomes, the landscape is evolving, necessitating adaptability in data analysis. Technical proficiency and strategic acumen are crucial for navigating different data sources.

These include:

  • Customer relationship management (CRM) systems.
  • Google Analytics 4 (GA4).
  • Ecommerce platforms.
  • Content management platforms (CMS).

Empathy for various ad channels improves your candidacy, and knowing how to work with post-click data will give you an edge over those who can only work with ad platform data.

While being highly technical isn’t required, having empathy for coding and scripts will give you a better chance to stay current with evolving data mechanics (especially as APIs become even more important for accessing data blocked by privacy-first regulations).

Here are some takes from PPC experts on why analytics is the most important:

A screenshot of a LinkedIn comment by Georgi Zayakov, who describes himself as analytical Screenshot from author, LinkedIn, April 2024
A LinkedIn post by Kathryn B., a paid media specialist at a PPC agencyScreenshot from LinkedIn, April 2024
Screenshot of a LinkedIn post by Nikolaos B., discussing how marketers must become data-savvyScreenshot from author, LinkedIn, April 2024


Creativity is essential for crafting compelling ad content, yet many PPC agencies struggle in this area.

Clients are often tasked with providing creative materials due to cost or complexity constraints.

You’ll get a competitive edge if you have these skills:

  • Video Editing: With the rise of PMax, as well as many ad networks leaning heavily into connected TV, having video editing chops will be a huge asset for any team. If you’re not comfortable using conventional editing tools, AI tools like Descript are a great way to take on those tasks.
  • Graphic Design: No matter the ad network your potential employer is hiring for, you will need some ability to design static images. Whether you use stock photos or AI-generated images or come up with the creative yourself, the days of purely text ads are over. Tools like Canva can help bridge the gap for less technical designers, but don’t discount ad network AI.
  • Content Creation: While the first two categories leaned toward visual content, written content is still important (i.e., most ad formats include some text). Having the ability to understand how diverse audiences prefer to be addressed while respecting the specific requirements of each format is a great skill to hone.

While some roles may prioritize analytics or ad network knowledge, emphasizing creative abilities can distinguish you during the hiring process.

Here are some experts who value creativity:

A screenshot of a LinkedIn post by Erik PetersonScreenshot from author, LinkedIn, April 2024
A screenshot of a Linkedin post by Amy HebdonScreenshot from author, LinkedIn, April 2024

Ad Network Knowledge

Ad network expertise is valuable, but adaptability is paramount as platforms evolve rapidly.

Some agencies will have specialists, while others hire folks they expect to be passable at every network they service. It’s important to understand what workflow will enable you to succeed.

If you’re happy working with all platforms, then don’t shy away from it. However, if you do better in focusing on one aspect of PPC, that’s totally valid. Just know it might limit your ability to get hired into smaller “familyesque” agencies.

Understanding auction dynamics and bidding strategies is crucial.

Many of us who entered the industry when manual bidding was more popular have an unfair advantage over those who came in during the Smart Bidding era (i.e., anything from 2020).

This is because manual bidding requires you to think about the mechanics of each ad platform’s auction and how you could use those mechanics to your advantage in building account structure.

Knowing what to track and allocating appropriate budgets are key considerations.

Understanding that some networks require more conversions than others to run (e.g., Meta Ads’ 50 in a 7-day period vs. Google Ads’ 15 in a 30-day period) should influence what you choose to track, as well as how you report the data.

Additionally, if you are under or over budget, you’ll set yourself up to fail. Knowing which channels require a big investment upfront and what the breaking point for each network is (either on underspending or spending too much) is critical.

Awareness of potential pitfalls, such as false positives or negatives, enhances campaign effectiveness. For example, it’s important to know how to check if automatically applying recommendations is on and what tasks it’s on for.

It’s worth noting that none of the experts who chimed in on the poll made a clear case for ad network knowledge specifically.

Willingness To Test

Success in PPC requires openness to experimentation and a willingness to adapt. While this wasn’t one of the criteria in the poll, it was one of the most popular traits experts look for in hiring.

Perfectionism can hinder progress in a fast-changing environment. Testing new ideas and embracing failure as an opportunity for growth are essential.

While analytical skills aid in test design, empathy and creativity are equally vital for devising effective experiments.

Here is an expert who favors a willingness to test:

Screenshot of a social media post by Mike RhodesScreenshot from author, LinkedIn, April 2024

Cultural Fit

Cultural alignment with an agency fosters productivity and job satisfaction. However, you can only achieve that by being honest with yourself about what you want and the mechanics of how you work.

Agencies demand intense effort and collaboration, making compatibility with colleagues crucial.

Anyone looking to make the shift from in-house to agency needs to be prepared for a much faster pace of work and a lot more agency.

Open communication with leadership regarding preferred management and learning styles will ensure a positive working relationship.

Respect for peers and a supportive atmosphere contribute to a fulfilling work environment.

Here are a few thoughts on cultural fit from polled experts:

The image shows a LinkedIn post by David Zebrout containing text discussing the importance of integrating PPC network knowledge with intertimed optimizations in generating profitable growth.Screenshot from author, LinkedIn, April 2024
LinkedIn post by Lisa Erschbamer discussing the importance of cultural fit and individual personality in team dynamics for effective performance at a PPC Agency.Screenshot from author, LinkedIn, April 2024
A screenshot of a LinkedIn post by Aaron Davies discussing the importance of cultural fit, individual skills, and team communication in marketing for a PPC agency. The post has reactions and a question comment by NavahScreenshot from author, LinkedIn, April 2024

Final Thoughts

Navigating the current job market can be challenging, but understanding industry needs and honing relevant skills increases your chances of success.

Balancing technical proficiency with creativity and cultural fit is essential for thriving in a PPC role. By aligning with market demands and showcasing your strengths, you can secure rewarding opportunities in the field.

Have a question you’d like us to address? Fill out the form!

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Featured Image: Paulo Bobita/Search Engine Journal

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