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20 Google Analytics Alternatives – Moz

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20 Google Analytics Alternatives - Moz

The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

The adage is that if you’re not paying for the service, you are the product. Unfortunately, this rings especially true in the analytics world.

The analytics space is changing, though, and there are many alternatives — both free and paid — that take into account privacy, cookie-less tracking, GDPR compliance, core web vitals, and more. The current leader in the analytics space is Universal Analytics (UA), which has been tracking web data since 2005. But Google is going to stop tracking any new data in UA as of July 1, 2023 (Happy Canada Day?).

This is a move to get users to migrate to Google Analytics 4 (GA4), which is a whole new way of tracking and navigating. In a move from sessions to an event model, GA4 will require some knowledge and familiarity to get up and running, as there’s quite a bit changing.

If you haven’t yet set up GA4 yet, or are on the fence, now is the time to take a look at what else is out there and how the landscape has changed. We’ve broken the alternatives up into three categories:

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How legal is Google Analytics?

The short answer is: depends on where your visitors are from.

Without getting too deep into legal jargon, the user has control over the options now and although there are a few lawsuits out there I’m sure Google will make the proper adjustments to ensure that everyone using it will be mostly covered, eventually.

This isn’t happening right now and under GDPR there are requirements that Google Analytics isn’t passing. Also, by using a product that’s integrated into other products I doubt they’ll ever see 100% coverage.

Even if you’re planning on installing Google Analytics 4, you can run an alternative to ensure that you’re getting the right data and test as you go

Web Analytics

More than a visitor counter, but often simplified, web analytics providers focus on giving services to small businesses, bloggers, and small websites. Their metrics are also the closest to Google Analytics. Most of the web analytics tools below are easy to maintain, quick to install, and don’t need self-hosting. However, some will offer self-hosting in addition to their regular services.

Fathom Analytics

Launched in 2018, Fathom Analytics is a cookie-less, privacy-focused Google Analytics alternative that’s really simple to use. They care about user privacy and pioneered proprietary routes in compliance with the EU for EU visitors. Calling the route “EU isolation”, Fathom Analytics is also GDPR, PECR, COPPA, CCPA, and ePrivacy compliant.

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Features of Fathom Analytics include:

  • Seven-day free trial

  • Prices start at $14 per month for up to 100,000 page views

  • Can include up to 50 sites

  • Shows live visitors and where they’re navigating
  • Offers uptime monitoring, event filtering, email reports, ad blocker bypassing, live visitor information, and much more from a bootstrapped company

Being privacy-focused, Fathom Analytics has a beautiful interface and offers unlimited CSV exports of your data available at any time. This allows you to conveniently connect it to other data sources. In addition, Fathom is expected to release a backup option for GA data in the near future.

DEMO FATHOM ANALYTICS

Matomo

Previously named Pikqwik, Matomo (“keep your data in your own hands”) is an open-source, cookie-free tracking, and GDPR-compliant analytics tool offering a search engine and keywords section where you can connect with Google Search Console data.

Additional Matomo features include:

  • Customizable dashboard.

  • Real-time data insights (pages visited, visitor summary, conversions, etc).

  • E-commerce analytics.

  • Event tracking (analyzes user interaction on apps or websites).

  • Measures CTR, clicks, and impressions for text and image banners as well as other page elements.

  • Visitor geolocation (stats can be viewed on maps by city, region, or country).

  • Page and site speed reports.

  • Page performance (number of views, bounce rates).

You can host Matomo on your own servers for free. Otherwise, their cloud pricing starts at $29/month after a 21-day free trial for 50,000 hits (up to 30 websites).

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DEMO MATOMO

Cloudflare

If you’re already using Cloudflare’s CDN solution, then there’s no setup required. You can simply authorize the web analytics to start tracking inside your account. You can add up to 10 websites for free, and there’s no need for a cookie banner, since they do not collect personal data.

In addition to tracking standard metrics — page views, visits, load times, bandwidth, etc. — Cloudflare has incorporated Core Web Vitals metrics. These are measured each across your tracked websites, and can email you weekly with updates — very handy.

Cloudflare installation is light on page load, since you can proxy it through your Cloudflare setup. Alternatively, you can install their lightweight Javascript code (or “beacon”, as they call it).

Although Cloudflare doesn’t say they are GDPR compliant, what they do say is that they are considered an “Operator Essential Services” under the EU Directive on Security of Network and Information Systems. You can assume that Cloudflare is tracking something along the way, with a free price tag and with other offerings available where data could be shared.

Cloudflare is closest to server analytics without going directly to your server. It’s only available in specific areas, so you might have to pay for this.

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DEMO CLOUDFLARE

Adobe Analytics

Adobe Analytics is a popular analysis platform that provides tools essential for collecting relevant data concerning customer experience. Company analysts and online marketers frequently depend on it for improving customer satisfaction.

Applying Adobe Analytics to your business website can help you determine what leads to conversions. For example, did changing content or the CTA increase conversions? Did adding more visual aids increase the number of inquiries about a certain service or product?

Adobe analytics is marketed as an enterprise analytics solution with audience insights, advertising analytics, cohort analysis, customer journey analysis, remarketing triggers, and much more. It truly could fit your web analytics or product analytics depending on how your team deploys it, and it has been around for quite a while just like Google Analytics.

REQUEST A DEMO FOR ADOBE ANALYTICS

Clicky

Privacy-friendly web analytics tool Clicky is easy to navigate and offers metrics similar to Google Analytics. However, Clicky embodies the feel of server analytics tools while making their interface simple and fast-loading, thanks to minimal graphics.

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Features of Clicky include:

Clicky also provides a developer API and white labeling of their solution, where you can create your own theme for better brand integration starting at $49/month as part of their hosted service. They also offer a free tier if you’re looking to try it out with limited features.

DEMO CLICKY

Simple Analytics

EU-hosted, privacy-based Simple Analytics offers tools to use for checking your websites daily. Simple Analytics does not collect cookies, IP addresses, or any unique identifiers. Their package provides a bypass of ad blockers, hides referral spam, and includes an iOS app. You can even embed a widget to get public web statistics.

This GA alternative offers some nifty events that are gathered by default for ease of use. These include email clicks, outbound links, and files to streamline tracking. All of Simple Analytics features come together in a UI that’s a simple dashboard providing quick “in and out” times — much quicker, in fact, than it would take to get to the correct property using Google Analytics.

Simple Analytics offers a free 14-day trial. If you decide to keep Simple Analytics, you’ll pay $19/month, or $9/month if you pay a year in advance.

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DEMO SIMPLE ANALYTICS

Pirsch

An open-source, cookie-free web analytics alternative to Google Analytics, Pirsch seamlessly integrates into websites and WordPress with plugins. A developer-friendly analytics offering a flexible, impressive API, server-side integrations, and SDKs, Pirsch provides Golang (Go), PHP SDK, JavaScript, or a community-provided code to embed snippets. Pirsch also works with Google Search Console.

You can perform any function you want from the Pirsch dashboard, like viewing statistics or adding websites.

Get started by viewing Pirsch’s live demo or opting in on their 30-day free trial. Paying for Pirsch is only $5 per month if you choose annual billing. If you want to make monthly payments, the cost increases to $6 per month.

DEMO PIRSCH

Plausible

A privacy-friendly, open-source web analytics platform, Plausible is cookie-free and fully compliant with PECR, CCPA, and GDPR. Plausible is a popular alternative to Google Analytics because of its simplicity, lightweight script, and ability to reduce bounce rates by expediting site loading.

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You can easily segment data into specific metrics, analyze dark traffic via Urchin Tracking Module (UTM) parameters, and track how many outbound link clicks you get.

Plausible offers a 30-day free trial option that provides unlimited usage of its features without requiring a credit card. Once your free trial has ended, you can pay $9 per month for up to 10,000 page views. If you choose yearly billing, you get two months of free use. Unlimited data retention, slack/email reports, and event customization are also provided with a paid subscription to Plausible.

DEMO PLAUSIBLE

Umami

Umami is GDPR-compliant, open-source, cookie-free, and does not track users or gather personal data across websites. By anonymizing any information collected, Umami prevents the identification of individual users. In addition, you won’t need to worry about staying compliant with constantly changing privacy lawsi.

Features of Umami include:

  • Mobile-friendly so you can see stats on your phone at any time.

  • Since you host Umami under your domain, you won’t see any ad-blockers like you see when using Google Analytics.

  • Public sharing of your stats is available using an exclusively generated URL.

  • Umami’s lightweight tracking script loads almost instantly and won’t slow down the loading of your website.

  • A single installation of Umami enables tracking of an unlimited number of sites. You can also track individual URLs and subdomains.

Since Umami is an open-source platform and self-hosted, it’s free to use. Umami says a cloud-based version of its analytics is coming soon.

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Product (behavior) analytics

Although product analytics are not always GDPR-compliant, they provide powerful analytic tools that include valuable elements like segmentation and deeper levels of customization. For that reason and others, product analytics come with a higher maintenance cost. Here are several product analytics tools that are excellent Google Analytics alternatives for tracking customer behavior.

Hubspot Analytics

The traffic analytics tool provided by Hubspot Analytics offers exceptional analysis data for breaking down page views, new contacts, and even entrance/exit information regarding how long visitors remained on specific web pages. You can also install a tracking code to external sites so you can track traffic stats.

Additional features include:

  • Bounce rate percentages.

  • Number of call-to-action views/number of CTA clicks.

  • Conversion rates of visitors who click on your CTA.

  • Access to specific URLs or country stats.

A subscription to a starter Hubspot Analytics platform is $45 per month. You can choose monthly or annual billing, which is $540.

A professional subscription to Hubspot Analytics starts at $800 per month ($9,600 for one year). This subscription gives you multi-language content, video management and hosting, phone support, and A/B testing.

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An enterprise subscription starts at $3,600 per month ($43,200 per year). You get 10,000 marketing contacts with this subscription, with additional contacts available for sale in increments.

FREE HUBSPOT ANALYTICS TRIAL

Kissmetrics

Kissmetrics offers analytics for e-commerce and SaaS websites. Kissmetrics for SaaS gives you deep insights into the type of content and features that are fueling conversions, converting trials into conversions, and reducing churn.

Kissmetrics detects characteristics that drive conversions and retain regular buyers, so you can adjust site elements appropriately. This unique analytics tool also streamlines checkout funnels and integrates with Shopify.

Pricing for Kissmetrics SaaS involves three tiers:

Heap

Heap Analytics works on mobile and PC devices, quickly captures nearly all behavioral parameters, and supports first or third-party installation. You can also create individual identities for users over numerous sessions and augmented product information to purchase/sales events.

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Heap features include:

FREE TRIAL

FullStory

The makers of Fullstory state that if you know how to copy and paste, you’ll have no trouble setting it up. This analytics platform also offers “private-by-default” abilities that ensures masking of text elements at their source.

Their features include, but are not limited to:

FREE TRIAL

Mixpanel

Mixpanel offers a free subscription that gives access to core reports, unlimited data history, and EU or U.S. data residency. Mixpanel can be sliced and diced to fit so many situations, it’s flexible and moldable for many businesses at many levels.

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Screenshot of the dashboard.

For $25 per month under their growth plan, you get all the free features, plus data modeling, group analytics, and reports detailing causal inference. Mixpanel also includes features such as:

  • Segmenting users based on actions

  • Integrate with Slack to share reports, even if they don’t use Mixpanel

  • No limits on the amount of events tracked

  • Team Dashboards with Alerts

  • Identify top user paths and drop-off points

  • Understanding of conversion points across the funnel

  • And much much more.

It’s used by 30% of Fortune 100 SaaS companies and if you need custom pricing and plans,

CONTACT MIXPANEL SALES

Amplitude Analytics

According to a report available here, Amplitude is consistently ranked as #1 among other product analytics platforms, top software products, and customer satisfaction. You can analyze collected data with fast self-serve analytics that do not require SQL.

You can use Amplitude to…

  • Explore behavioral data

  • Measure customer engagement

  • Use product intelligence to build faster

  • Understand channel performance

  • Answer questions between, product, marketing, engineering & analytics

The Start Amplitude package is free and offers unlimited data destinations, users, and data sources. You also get 10 million events (streamed or unstreamed) per month.

Their paid plans start with customizations on top of that including advanced behavioral analytics & custom event values.

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CONTACT SALES FOR GROWTH OR ENTERPRISE PACKAGES or if you’re a startup you can apply for a free year of Amplitude Scholarship!

Segment

Segment which was acquired by Twilio in 2020 offers superior email onboarding and intuitive insights in SMS campaign and email performance & that’s just one arm of what it does. Segment uses only one API to collect data across all platforms. They also have SDKs for Android, iOS, JavaScript, and over 20 server-side languages. They have been written as a technology startup that lets organizations pull customer data from one app into another & they have as of writing over 300 integrations!

Segment has customers across industries including media, medical, B2B, retail and from startup to enterprise. As well you can upload your customer data into their data warehouse to keep your data there so they could fit into the data warehousing category below too.

To get started using Segment, simply make a free account which allows for 1,000 visitors from two sources and access to their 300 integrations or their paid tiers start at $120/month where you can sign up for a team account.

Rudderstack

Rudderstack provides developers all they need to get started immediately with this product/behavior analytics. Features of Rudderstack include identifying anonymous mobile and web users, customizing destinations through the application of real-time modifications to event payloads, and automatically occupying warehouses with event and user record schemas.

The free version of Rudderstack gives you five million events per month, over 16 SDK sources and more than 180 cloud destinations. Like Segment you can use Rudderstack as a data warehouse for your customer data and they’ve built their platform as warehouse-first and built for developers.

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The Pro version starts at $500 per month. You get the free features, plus email support, a technical account manager, and even custom integrations in the higher tiers. Request pricing for the Enterprise version of Rudderstack here.

Data warehousing solutions

It’s always good to have your data backed up and if you have a lot of history in Universal Analytics it would be a good place to start. There are even services to connect all these solutions together seamlessly, such as Funnel. While these have additional costs, you can save all your data for many years without a problem coming up so you can refer to them when need be.

Google BigQuery / Google Cloud

Available with an easy connection to your GA4 data if you’re leaning that way. Google lists BigQuery as enterprise and there will be limits to how much data you can send to BigQuery before paying. They offer real-time analytics with built-in query acceleration and with the scale of data that Google handles we can be pretty sure that they’ll be able to handle it. Google Cloud Storage offers standard, nearline, coldline, and archive storage options.

One suggestion is if you’re using Google for backups to ensure you have a secondary account attached to it in case your primary account loses access, which I’ve seen happen from time to time. They provide a migration from some tools and their pricing is based on data, so it’s free up to 10GB. They created a billing calculator for easy cost analysis once you get into the paid side.

Amazon – AWS

AWS states that they support more compliance certifications and security measures than all other cloud providers. They allow for backup of all data types and have redundancy built in that you would expect at the Amazon level.

Like Google they have a calculator to estimate a pricing model for your team as they have a lot of other services integrated into this that you can take advantage of there.

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Snowflake

Snowflake provides a data cloud and isn’t Google or Amazon, which may appeal to some. It supports data science, data lakes, and data warehousing on the three top clouds with their fully automated solution.

They’re HIPAA, PCI DSS, SOC 1 and SOC 2 Type 2 compliant, and FedRAMP Authorized and have a 30 day free trial with all plans you can check out as well as a “pay for usage” option or a “pay for usage upfront” option too.

Recap and recommendations

On July 1, 2023, Universal Analytics will stop tracking any new data, and then by EOY 2023 all UA data will be removed by Google — so back up your data! Think about warehousing your data long term for your Universal Analytics and moving forward.

Then, make a plan for how you’re going to be tracking moving forward. Talk options and thoughts with stakeholders.

Install GA4 now (or yesterday!) or try the options above out, as none of these are created equal and many have free trials.

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MARKETING

How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds

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How to Use AI For a More Effective Social Media Strategy, According to Ross Simmonds

Welcome to Creator Columns, where we bring expert HubSpot Creator voices to the Blogs that inspire and help you grow better.

It’s the age of AI, and our job as marketers is to keep up.

My team at Foundation Marketing recently conducted an AI Marketing study surveying hundreds of marketers, and more than 84% of all leaders, managers, SEO experts, and specialists confirmed that they used AI in the workplace.

AI in the workplace data graphic, Foundation Labs

If you can overlook the fear-inducing headlines, this technology is making social media marketers more efficient and effective than ever. Translation: AI is good news for social media marketers.

Download Now: The 2024 State of Social Media Trends [Free Report]

In fact, I predict that the marketers not using AI in their workplace will be using it before the end of this year, and that number will move closer and closer to 100%.

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Social media and AI are two of the most revolutionizing technologies of the last few decades. Social media has changed the way we live, and AI is changing the way we work.

So, I’m going to condense and share the data, research, tools, and strategies that the Foundation Marketing Team and I have been working on over the last year to help you better wield the collective power of AI and social media.

Let’s jump into it.

What’s the role of AI in social marketing strategy?

In a recent episode of my podcast, Create Like The Greats, we dove into some fascinating findings about the impact of AI on marketers and social media professionals. Take a listen here:

Let’s dive a bit deeper into the benefits of this technology:

Benefits of AI in Social Media Strategy

AI is to social media what a conductor is to an orchestra — it brings everything together with precision and purpose. The applications of AI in a social media strategy are vast, but the virtuosos are few who can wield its potential to its fullest.

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AI to Conduct Customer Research

Imagine you’re a modern-day Indiana Jones, not dodging boulders or battling snakes, but rather navigating the vast, wild terrain of consumer preferences, trends, and feedback.

This is where AI thrives.

Using social media data, from posts on X to comments and shares, AI can take this information and turn it into insights surrounding your business and industry. Let’s say for example you’re a business that has 2,000 customer reviews on Google, Yelp, or a software review site like Capterra.

Leveraging AI you can now have all 2,000 of these customer reviews analyzed and summarized into an insightful report in a matter of minutes. You simply need to download all of them into a doc and then upload them to your favorite Generative Pre-trained Transformer (GPT) to get the insights and data you need.

But that’s not all.

You can become a Prompt Engineer and write ChatGPT asking it to help you better understand your audience. For example, if you’re trying to come up with a persona for people who enjoy marathons but also love kombucha you could write a prompt like this to ChatGPT:

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ChatGPT prompt example

The response that ChatGPT provided back is quite good:

GPT response example

Below this it went even deeper by including a lot of valuable customer research data:

  • Demographics
  • Psychographics
  • Consumer behaviors
  • Needs and preferences

And best of all…

It also included marketing recommendations.

The power of AI is unbelievable.

Social Media Content Using AI

AI’s helping hand can be unburdening for the creative spirit.

Instead of marketers having to come up with new copy every single month for posts, AI Social Caption generators are making it easier than ever to craft catchy status updates in the matter of seconds.

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Tools like HubSpot make it as easy as clicking a button and telling the AI tool what you’re looking to create a post about:

AI social media caption generator step 1

The best part of these AI tools is that they’re not limited to one channel.

Your AI social media content assistant can help you with LinkedIn content, X content, Facebook content, and even the captions that support your post on Instagram.

It can also help you navigate hashtags:

AI social media hashtags generator example, HubSpot

With AI social media tools that generate content ideas or even write posts, it’s not about robots replacing humans. It’s about making sure that the human creators on your team are focused on what really matters — adding that irreplaceable human touch.

Enhanced Personalization

You know that feeling when a brand gets you, like, really gets you?

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AI makes that possible through targeted content that’s tailored with a level of personalization you’d think was fortune-telling if the data didn’t paint a starker, more rational picture.

What do I mean?

Brands can engage more quickly with AI than ever before. In the early 2000s, a lot of brands spent millions of dollars to create social media listening rooms where they would hire social media managers to find and engage with any conversation happening online.

Thanks to AI, brands now have the ability to do this at scale with much fewer people all while still delivering quality engagement with the recipient.

Analytics and Insights

Tapping into AI to dissect the data gives you a CSI-like precision to figure out what works, what doesn’t, and what makes your audience tick. It’s the difference between guessing and knowing.

The best part about AI is that it can give you almost any expert at your fingertips.

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If you run a report surrounding the results of your social media content strategy directly from a site like LinkedIn, AI can review the top posts you’ve shared and give you clear feedback on what type of content is performing, why you should create more of it, and what days of the week your content is performing best.

This type of insight that would typically take hours to understand.

Now …

Thanks to the power of AI you can upload a spreadsheet filled with rows and columns of data just to be met with a handful of valuable insights a few minutes later.

Improved Customer Service

Want 24/7 support for your customers?

It’s now possible without human touch.

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Chatbots powered by AI are taking the lead on direct messaging experiences for brands on Facebook and other Meta properties to offer round-the-clock assistance.

The fact that AI can be trained on past customer queries and data to inform future queries and problems is a powerful development for social media managers.

Advertising on Social Media with AI

The majority of ad networks have used some variation of AI to manage their bidding system for years. Now, thanks to AI and its ability to be incorporated in more tools, brands are now able to use AI to create better and more interesting ad campaigns than ever before.

Brands can use AI to create images using tools like Midjourney and DALL-E in seconds.

Brands can use AI to create better copy for their social media ads.

Brands can use AI tools to support their bidding strategies.

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The power of AI and social media is continuing to evolve daily and it’s not exclusively found in the organic side of the coin. Paid media on social media is being shaken up due to AI just the same.

How to Implement AI into Your Social Media Strategy

Ready to hit “Go” on your AI-powered social media revolution?

Don’t just start the engine and hope for the best. Remember the importance of building a strategy first. In this video, you can learn some of the most important factors ranging from (but not limited to) SMART goals and leveraging influencers in your day-to-day work:

The following seven steps are crucial to building a social media strategy:

  1. Identify Your AI and Social Media Goals
  2. Validate Your AI-Related Assumptions
  3. Conduct Persona and Audience Research
  4. Select the Right Social Channels
  5. Identify Key Metrics and KPIs
  6. Choose the Right AI Tools
  7. Evaluate and Refine Your Social Media and AI Strategy

Keep reading, roll up your sleeves, and follow this roadmap:

1. Identify Your AI and Social Media Goals

If you’re just dipping your toes into the AI sea, start by defining clear objectives.

Is it to boost engagement? Streamline your content creation? Or simply understand your audience better? It’s important that you spend time understanding what you want to achieve.

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For example, say you’re a content marketing agency like Foundation and you’re trying to increase your presence on LinkedIn. The specificity of this goal will help you understand the initiatives you want to achieve and determine which AI tools could help you make that happen.

Are there AI tools that will help you create content more efficiently? Are there AI tools that will help you optimize LinkedIn Ads? Are there AI tools that can help with content repurposing? All of these things are possible and having a goal clearly identified will help maximize the impact. Learn more in this Foundation Marketing piece on incorporating AI into your content workflow.

Once you have identified your goals, it’s time to get your team on board and assess what tools are available in the market.

Recommended Resources:

2. Validate Your AI-Related Assumptions

Assumptions are dangerous — especially when it comes to implementing new tech.

Don’t assume AI is going to fix all your problems.

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Instead, start with small experiments and track their progress carefully.

3. Conduct Persona and Audience Research

Social media isn’t something that you can just jump into.

You need to understand your audience and ideal customers. AI can help with this, but you’ll need to be familiar with best practices. If you need a primer, this will help:

Once you understand the basics, consider ways in which AI can augment your approach.

4. Select the Right Social Channels

Not every social media channel is the same.

It’s important that you understand what channel is right for you and embrace it.

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The way you use AI for X is going to be different from the way you use AI for LinkedIn. On X, you might use AI to help you develop a long-form thread that is filled with facts and figures. On LinkedIn however, you might use AI to repurpose a blog post and turn it into a carousel PDF. The content that works on X and that AI can facilitate creating is different from the content that you can create and use on LinkedIn.

The audiences are different.

The content formats are different.

So operate and create a plan accordingly.

Recommended Tools and Resources:

5. Identify Key Metrics and KPIs

What metrics are you trying to influence the most?

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Spend time understanding the social media metrics that matter to your business and make sure that they’re prioritized as you think about the ways in which you use AI.

These are a few that matter most:

  • Reach: Post reach signifies the count of unique users who viewed your post. How much of your content truly makes its way to users’ feeds?
  • Clicks: This refers to the number of clicks on your content or account. Monitoring clicks per campaign is crucial for grasping what sparks curiosity or motivates people to make a purchase.
  • Engagement: The total social interactions divided by the number of impressions. This metric reveals how effectively your audience perceives you and their readiness to engage.

Of course, it’s going to depend greatly on your business.

But with this information, you can ensure that your AI social media strategy is rooted in goals.

6. Choose the Right AI Tools

The AI landscape is filled with trash and treasure.

Pick AI tools that are most likely to align with your needs and your level of tech-savviness.

For example, if you’re a blogger creating content about pizza recipes, you can use HubSpot’s AI social caption generator to write the message on your behalf:

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AI social media generator example

The benefit of an AI tool like HubSpot and the caption generator is that what at one point took 30-40 minutes to come up with — you can now have it at your fingertips in seconds. The HubSpot AI caption generator is trained on tons of data around social media content and makes it easy for you to get inspiration or final drafts on what can be used to create great content.

Consider your budget, the learning curve, and what kind of support the tool offers.

7. Evaluate and Refine Your Social Media and AI Strategy

AI isn’t a magic wand; it’s a set of complex tools and technology.

You need to be willing to pivot as things come to fruition.

If you notice that a certain activity is falling flat, consider how AI can support that process.

Did you notice that your engagement isn’t where you want it to be? Consider using an AI tool to assist with crafting more engaging social media posts.

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Make AI Work for You — Now and in the Future

AI has the power to revolutionize your social media strategy in ways you may have never thought possible. With its ability to conduct customer research, create personalized content, and so much more, thinking about the future of social media is fascinating.

We’re going through one of the most interesting times in history.

Stay equipped to ride the way of AI and ensure that you’re embracing the best practices outlined in this piece to get the most out of the technology.

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Advertising in local markets: A playbook for success

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Advertising in local markets: A playbook for success

Many brands, such as those in the home services industry or a local grocery chain, market to specific locations, cities or regions. There are also national brands that want to expand in specific local markets. 

Regardless of the company or purpose, advertising on a local scale has different tactics than on a national scale. Brands need to connect their messaging directly with the specific communities they serve and media to their target demo. Here’s a playbook to help your company succeed when marketing on a local scale.  

1. Understand local vs. national campaigns

Local advertising differs from national campaigns in several ways: 

  • Audience specificity: By zooming in on precise geographic areas, brands can tailor messaging to align with local communities’ customs, preferences and nuances. This precision targeting ensures that your message resonates with the right target audience.
  • Budget friendliness: Local advertising is often more accessible for small businesses. Local campaign costs are lower, enabling brands to invest strategically within targeted locales. This budget-friendly nature does not diminish the need for strategic planning; instead, it emphasizes allocating resources wisely to maximize returns. As a result, testing budgets can be allocated across multiple markets to maximize learnings for further market expansion.
  • Channel selection: Selecting the correct channels is vital for effective local advertising. Local newspapers, radio stations, digital platforms and community events each offer advantages. The key lies in understanding where your target audience spends time and focusing efforts to ensure optimal engagement.
  • Flexibility and agility: Local campaigns can be adjusted more swiftly in response to market feedback or changes, allowing brands to stay relevant and responsive. 

Maintaining brand consistency across local touchpoints reinforces brand identity and builds a strong, recognizable brand across markets. 

2. Leverage customized audience segmentation 

Customized audience segmentation is the process of dividing a market into distinct groups based on specific demographic criteria. This marketing segmentation supports the development of targeted messaging and media plans for local markets. 

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For example, a coffee chain might cater to two distinct segments: young professionals and retirees. After identifying these segments, the chain can craft messages, offers and media strategies relating to each group’s preferences and lifestyle.

To reach young professionals in downtown areas, the chain might focus on convenience, quality coffee and a vibrant atmosphere that is conducive to work and socializing. Targeted advertising on Facebook, Instagram or Connected TV, along with digital signage near office complexes, could capture the attention of this demographic, emphasizing quick service and premium blends.

Conversely, for retirees in residential areas, the chain could highlight a cozy ambiance, friendly service and promotions such as senior discounts. Advertisements in local print publications, community newsletters, radio stations and events like senior coffee mornings would foster a sense of community and belonging.

Dig deeper: Niche advertising: 7 actionable tactics for targeted marketing

3. Adapt to local market dynamics

Various factors influence local market dynamics. Brands that navigate changes effectively maintain a strong audience connection and stay ahead in the market. Here’s how consumer sentiment and behavior may evolve within a local market and the corresponding adjustments brands can make. 

  • Cultural shifts, such as changes in demographics or societal norms, can alter consumer preferences within a local community. For example, a neighborhood experiencing gentrification may see demand rise for specific products or services.
    • Respond by updating your messaging to reflect the evolving cultural landscape, ensuring it resonates with the new demographic profile.
  • Economic conditions are crucial. For example, during downturns, consumers often prioritize value and practicality.
    • Highlight affordable options or emphasize the practical benefits of your offerings to ensure messaging aligns with consumers’ financial priorities. The impact is unique to each market and the marketing message must also be dynamic.
  • Seasonal trends impact consumer behavior.
    • Align your promotions and creative content with changing seasons or local events to make your offerings timely and relevant.
  • New competitors. The competitive landscape demands vigilance because new entrants or innovative competitor campaigns can shift consumer preferences.
    • Differentiate by focusing on your unique selling propositions, such as quality, customer service or community involvement, to retain consumer interest and loyalty.

4. Apply data and predictive analytics 

Data and predictive analytics are indispensable tools for successfully reaching local target markets. These technologies provide consumer behavior insights, enabling you to anticipate market trends and adjust strategies proactively. 

  • Price optimization: By analyzing consumer demand, competitor pricing and market conditions, data analytics enables you to set prices that attract customers while ensuring profitability.
  • Competitor analysis: Through analysis, brands can understand their positioning within the local market landscape and identify opportunities and threats. Predictive analytics offer foresight into competitors’ potential moves, allowing you to strategize effectively to maintain a competitive edge.
  • Consumer behavior: Forecasting consumer behavior allows your brand to tailor offerings and marketing messages to meet evolving consumer needs and enhance engagement.
  • Marketing effectiveness: Analytics track the success of advertising campaigns, providing insights into which strategies drive conversions and sales. This feedback loop enables continuous optimization of marketing efforts for maximum impact.
  • Inventory management: In supply chain management, data analytics predict demand fluctuations, ensuring inventory levels align with market needs. This efficiency prevents stockouts or excess inventory, optimizing operational costs and meeting consumer expectations.

Dig deeper: Why you should add predictive modeling to your marketing mix

5. Counter external market influences

Consider a clothing retailer preparing for a spring collection launch. By analyzing historical weather data and using predictive analytics, the brand forecasts an unseasonably cool start to spring. Anticipating this, the retailer adjusts its campaign to highlight transitional pieces suitable for cooler weather, ensuring relevance despite an unexpected chill.

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Simultaneously, predictive models signal an upcoming spike in local media advertising rates due to increased market demand. Retailers respond by reallocating a portion of advertising budgets to digital channels, which offer more flexibility and lower costs than traditional media. This shift enables brands to maintain visibility and engagement without exceeding budget, mitigating the impact of external forces on advertising.

6. Build consumer confidence with messaging

Localized messaging and tailored customer service enhance consumer confidence by demonstrating your brand’s understanding of the community. For instance, a grocery store that curates cooking classes featuring local cuisine or sponsors community events shows commitment to local culture and consumer interests. 

Similarly, a bookstore highlighting local authors or topics relevant to the community resonates with local customers. Additionally, providing service that addresses local needs — such as bilingual service and local event support — reinforces the brand’s values and response to the community. 

Through these localized approaches, brands can build trust and loyalty, bridging the gap between corporate presence and local relevance.

7. Dominate with local advertising 

To dominate local markets, brands must:

  • Harness hyper-targeted segmentation and geo-targeted advertising to reach and engage precise audiences.
  • Create localized content that reflects community values, engage in community events, optimize campaigns for mobile and track results.
  • Fine-tune strategies, outperform competitors and foster lasting relationships with customers.

These strategies will enable your message to resonate with local consumers, differentiate you in competitive markets and ensure you become a major player in your specific area. 



Dig deeper: The 5 critical elements for local marketing success

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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.

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Battling for Attention in the 2024 Election Year Media Frenzy

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Battling for Attention in the 2024 Election Year Media Frenzy

Battling for Attention in the 2024 Election Year Media Frenzy

As we march closer to the 2024 U.S. presidential election, CMOs and marketing leaders need to prepare for a significant shift in the digital advertising landscape. Election years have always posed unique challenges for advertisers, but the growing dominance of digital media has made the impact more profound than ever before.

In this article, we’ll explore the key factors that will shape the advertising environment in the coming months and provide actionable insights to help you navigate these turbulent waters.

The Digital Battleground

The rise of cord-cutting and the shift towards digital media consumption have fundamentally altered the advertising landscape in recent years. As traditional TV viewership declines, political campaigns have had to adapt their strategies to reach voters where they are spending their time: on digital platforms.

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According to a recent report by eMarketer, the number of cord-cutters in the U.S. is expected to reach 65.1 million by the end of 2023, representing a 6.9% increase from 2022. This trend is projected to continue, with the number of cord-cutters reaching 72.2 million by 2025.

Moreover, a survey conducted by Pew Research Center in 2023 found that 62% of U.S. adults do not have a cable or satellite TV subscription, up from 61% in 2022 and 50% in 2019. This data further underscores the accelerating shift away from traditional TV and towards streaming and digital media platforms.

As these trends continue, political advertisers will have no choice but to follow their audiences to digital channels. In the 2022 midterm elections, digital ad spending by political campaigns reached $1.2 billion, a 50% increase from the 2018 midterms. With the 2024 presidential election on the horizon, this figure is expected to grow exponentially, as campaigns compete for the attention of an increasingly digital-first electorate.

For brands and advertisers, this means that the competition for digital ad space will be fiercer than ever before. As political ad spending continues to migrate to platforms like Meta, YouTube, and connected TV, the cost of advertising will likely surge, making it more challenging for non-political advertisers to reach their target audiences.

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To navigate this complex and constantly evolving landscape, CMOs and their teams will need to be proactive, data-driven, and willing to experiment with new strategies and channels. By staying ahead of the curve and adapting to the changing media consumption habits of their audiences, brands can position themselves for success in the face of the electoral advertising onslaught.

Rising Costs and Limited Inventory

As political advertisers flood the digital market, the cost of advertising is expected to skyrocket. CPMs (cost per thousand impressions) will likely experience a steady climb throughout the year, with significant spikes anticipated in May, as college students come home from school and become more engaged in political conversations, and around major campaign events like presidential debates.

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For media buyers and their teams, this means that the tried-and-true strategies of years past may no longer be sufficient. Brands will need to be nimble, adaptable, and willing to explore new tactics to stay ahead of the game.

Black Friday and Cyber Monday: A Perfect Storm

The challenges of election year advertising will be particularly acute during the critical holiday shopping season. Black Friday and Cyber Monday, which have historically been goldmines for advertisers, will be more expensive and competitive than ever in 2024, as they coincide with the final weeks of the presidential campaign.

To avoid being drowned out by the political noise, brands will need to start planning their holiday campaigns earlier than usual. Building up audiences and crafting compelling creative assets well in advance will be essential to success, as will a willingness to explore alternative channels and tactics. Relying on cold audiences come Q4 will lead to exceptionally high costs that may be detrimental to many businesses.

Navigating the Chaos

While the challenges of election year advertising can seem daunting, there are steps that media buyers and their teams can take to mitigate the impact and even thrive in this environment. Here are a few key strategies to keep in mind:

Start early and plan for contingencies: Begin planning your Q3 and Q4 campaigns as early as possible, with a focus on building up your target audiences and developing a robust library of creative assets.

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Be sure to build in contingency budgets to account for potential cost increases, and be prepared to pivot your strategy as the landscape evolves.

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Embrace alternative channels: Consider diversifying your media mix to include channels that may be less impacted by political ad spending, such as influencer marketing, podcast advertising, or sponsored content. Investing in owned media channels, like email marketing and mobile apps, can also provide a direct line to your customers without the need to compete for ad space.

Owned channels will be more important than ever. Use cheaper months leading up to the election to build your email lists and existing customer base so that your BF/CM can leverage your owned channels and warm audiences.

Craft compelling, shareable content: In a crowded and noisy advertising environment, creating content that resonates with your target audience will be more important than ever. Focus on developing authentic, engaging content that aligns with your brand values and speaks directly to your customers’ needs and desires.

By tapping into the power of emotional triggers and social proof, you can create content that not only cuts through the clutter but also inspires organic sharing and amplification.

Reflections

The 2024 election year will undoubtedly bring new challenges and complexities to the world of digital advertising. But by staying informed, adaptable, and strategic in your approach, you can navigate this landscape successfully and even find new opportunities for growth and engagement.

As a media buyer or agnecy, your role in steering your brand through these uncharted waters will be critical. By starting your planning early, embracing alternative channels and tactics, and focusing on creating authentic, resonant content, you can not only survive but thrive in the face of election year disruptions.

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So while the road ahead may be uncertain, one thing is clear: the brands that approach this challenge with creativity, agility, and a steadfast commitment to their customers will be the ones that emerge stronger on the other side.


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