2026 Marketing Agency Playbook: Data-Backed AI Pivots That Ignite Growth

2026 Marketing Agency Playbook: Data-Backed AI Pivots That Ignite Growth

5 trends shaping how agencies win — and keep — clients in 2026

Agencies face shorter client lifecycles in 2026. Explore 5 key trends shaping how agencies prove value, improve retention, and win long term.

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Agencies are heading into 2026 with rising budgets, rapidly maturing AI stacks, and more opportunities than ever to bring in new business. But those gains aren’t translating into longer partnerships. Retention is now one of the biggest pressure points agencies face.

According to our latest survey of U.S. marketing agencies, long-term client relationships are all but disappearing. Only 3% of agencies expect clients to stay three years or more, and the typical relationship now lasts just 12–24 months. At the same time, agencies overwhelmingly report feeling confident in their attribution and lead generation efforts.

That disconnect is the signal everyone in the industry should be paying attention to. Agencies aren’t struggling to create opportunities — they’re struggling to prove value fast enough to keep them. This emerging value visibility gap is now one of the biggest threats to retention.

This year’s trends highlight that success in 2026 hinges on both operational excellence and creative execution. Faster response times, clearer reporting, and smarter use of AI are becoming essential to turning demand into long-term relationships.

Here are five trends shaping how agencies will compete in 2026.

Trend 1: Bigger budgets, more digital, and a new era of full-funnel experimentation

For many agencies, 2026 is shaping up to be a year of growth-minded investment. 69% of agencies expect their marketing budgets to increase, and another 26% plan to hold steady. Much of that new spend is flowing toward channels such as video, paid social, organic social, and email.

Top channels agencies plan to put new marketing dollars toward in 2026

This year also marks a clear shift in where agencies expect new business to come from. Paid search, SEO, and organic social now make up the top channels for winning new clients, while referrals no longer dominate the pipeline the way they did in 2025.

Top channels driving new business for agencies

Alongside that shift is a widening appetite for experimentation. Many teams plan to test SMS/text, organic social, new video formats, and influencer marketing in 2026. And when asked what the industry at large will lean into, agencies pointed to short-form video (52%), personalization (51%), SEO (48%), and automation (44%) as the most influential approaches.

Top marketing tactics agencies plan to test in 2026

Trend 2: Shorter client lifecycles put new pressure on proving value

While agency budgets and demand channels are expanding, client relationships are moving in the opposite direction. This is one of the most dramatic shifts we saw in our findings: long-term client engagements are becoming increasingly rare, with only 3% of agencies reporting client lifespans of 36 months or longer. Today, the typical relationship lasts 12–24 months.

Agencies’ typical client lifespan

On the surface, this would suggest agencies are struggling to attract the right clients, but the data tells a different story. Agencies overwhelmingly say they feel confident they know which marketing channels generate their best customers (57% are extremely confident and 34% are moderately confident). While agencies seem to have generating new business locked in, they’re falling short when it comes to keeping clients for the long term.

Among agencies with the shortest client lifespans (0–12 months), the work is highly execution-focused — paid search, content, campaign management — but analytics and reporting are rarely part of the offering. Only 6% provide reporting services, versus 48% overall.

With fewer referrals and more prospects coming through paid search, SEO, and other digital channels, relationships start more transactionally. In these shorter, more transactional engagements, agencies have far less time to establish credibility, and reporting becomes the fastest way to earn trust. Clients want to know:

  • Which leads converted
  • How revenue ties back to specific channels
  • What to adjust next

Agencies aren’t losing clients because the work is weak, but because the value isn’t communicated early and often. As the client lifespan shrinks, the agencies that win will be the ones that make proof of value a continuous part of the relationship.

Trend 3: Speed to lead becomes a competitive advantage

As agencies ramp up demand generation across paid search, SEO, social, and video, they’re discovering a growing bottleneck: what happens after the lead comes in. According to the survey, 73% of agencies cite lead follow-up and conversion as their top operational and marketing challenge — a challenge that affects not only their own revenue potential, but also how clients experience and evaluate the success of agency-led campaigns.

Top marketing and operational challenges

This challenge is evident in the field. Jonathan Banks, CEO of Activate Digital Media, notes that his agency can generate a steady flow of high-quality inbound interest for clients, but many of those opportunities stall because internal workflows can’t keep pace.

“Most businesses don’t have a marketing problem — they have a workflow problem. The challenge isn’t generating leads anymore; it’s responding fast enough and consistently enough to convert them.”

Jonathan Banks, CEO at Activate Digital Media

To close that gap, Activate Digital Media uses CallRail’s call intelligence and automated workflows to instantly alert the right team members, trigger SMS follow-up on missed calls and form fills, tag intent, and score leads so clients know which opportunities to act on first. These workflows have helped their clients respond faster, book more business, and reduce dependence on already overloaded teams.

Anthony Milia, owner of Milia Marketing sees the same pattern in his agency’s audits of client performance. “Everyone knows they should follow up faster. The issue is that most teams are asking people who already have full-time jobs to handle it,” says Milia. “We audited over 2,800 calls and found that 78% of conversations discussing scheduling an appointment never actually booked one. That’s not a lead quality problem. That’s a process problem.”

The difference is stark. Milia noted that businesses with dedicated or automated response systems convert 70%+ of inquiries, while those relying on ad-hoc follow-up fall closer to 40–50%.

For agencies, when client leads aren’t contacted quickly or consistently, campaign ROI looks weaker than it really is — and agencies often take the blame for what is fundamentally an operational gap on the client’s side. That affects retention, too: if clients can’t see the full value of the demand their agency is generating, they’re more likely to assume the marketing isn’t working.

When agencies help clients respond faster, they don’t just improve conversion; they protect campaign ROI, strengthen trust, and reduce the risk of churn driven by factors outside the agency’s control.

Trend 4: AI’s real value comes from better lead insight and follow-up

While AI adoption is accelerating, agencies don’t see the technology itself as the challenge. The real differentiator is how AI is applied, whether it’s used to create more output or to improve follow-up, insight, and retention.

How agencies are using AI

Agencies also agree on which tools will be their most valuable investment:

  • 78% lead intelligence software
  • 74% marketing automation platforms

Among the largest and fastest-growing firms, adoption goes even deeper — 30% already use AI to analyze marketing performance, compared with 19% overall. This reflects a broader shift toward using AI not just to create more output, but to understand which efforts actually drive revenue.

But the data also reveals an emerging divide in how agencies apply AI — a “vanity vs. value” split. Agencies with shorter client lifespans (12–24 months) are far more likely to prioritize content creation tools as their most valuable AI investment (54% vs. 45% overall). In contrast, agencies with longer client relationships (24–36 months) are more likely to leverage lead management software (26% vs. 12%) — tools that improve follow-up, conversion, and retention.

Client longevity correlates with lead management maturity

  • 25% of agencies with 24–36 month client relationships use lead management software vs.
  • 12% of agencies with shorter lifespans.

In short, teams that retain clients longer are using AI to manage engagement and follow-up, not just to produce more content.

Steve Armenti sees the same pattern within his agency’s operations:

“AI is crushing it for us in targeting and segmentation, personalized content and A/B testing, and automated marketing and sales workflows. We can analyze thousands of accounts and extract the exact language prospects use — all in minutes.”

Steve Armenti, Founder at Twelfth

Trend 5: Agencies will win in 2026 by niching down on what they do best

With 63% of agencies citing competition as their top challenge, many are rethinking how they position themselves. Broad “full-service” models are getting harder to differentiate — and even harder to price — especially when clients are evaluating value within shorter 12–24 month relationships.

Top challenges for agencies in 2026

More clients now want a partner who can go deep in one area, move quickly, and tie their work directly to revenue. Steve Armenti sees this shift accelerating:

“The larger agencies are struggling to maintain margins on the full-service model. We’ve gone in the opposite direction. I think specialization is what clients are looking for right now.”

Steve Armenti, Founder at Twelfth

Instead of outsourcing everything to an agency of record, companies are seeking embedded expertise — partners that operate as part of their internal team and own a specific portion of the pipeline. These specialized partners move more quickly, collaborate more closely, and achieve clearer performance outcomes. Just as importantly, specialization makes it easier to tie work directly to outcomes, helping agencies prove value faster in shorter client lifecycles.

In 2026, growth won’t come from offering everything — it will come from doing the right things exceptionally well and proving value early and often.

Proving value is the new growth strategy

Agencies are heading into 2026 with rising budgets, smarter AI tools, and stronger demand engines — but also shorter client relationships and increasing pressure to show impact early. The teams that grow won’t just generate more leads; they’ll close the visibility gap, help clients follow up faster, and make it easier to see exactly where marketing is creating value.

CallRail’s lead engagement platform gives agencies the foundation to do exactly that. Agencies can help clients follow up with leads more efficiently, showing not only where those leads originate but also how they’re handled, what they’re worth, and where to invest next. It’s the kind of clarity that strengthens renewals, improves campaign performance, and turns short-term engagements into long-term partnerships.

Ready to give your clients clearer proof of value from every campaign and strengthen retention along the way?

Try CallRail for free.

Study: Advanced Personalization Linked To Higher Conversions

Deloitte research commissioned by Meta shows personalization boosts conversions by 16%, with a framework to assess and improve your strategy.

Matt G. Southern Matt G. Southern 1.1K Reads
Study: Advanced Personalization Linked To Higher Conversions

A new study commissioned by Meta and conducted by Deloitte finds that advanced personalization strategies are associated with a 16 percentage point increase in conversions compared to more basic efforts.

The research also introduces a maturity framework to help organizations evaluate their personalization capabilities and identify areas for improvement.

What the Data Shows

According to the study, 80% of U.S. consumers say they’re more likely to make a purchase when brands personalize their experiences. Consumers also report spending 50% more with brands that tailor interactions to their needs.

The report connects these behaviors to broader business outcomes. In the EU, Meta’s personalized advertising technologies were linked to €213 billion in economic activity and 1.4 million jobs.

While the economic impact data is specific to Meta, the findings reflect a wider trend in digital marketing: personalized engagement influences purchase decisions and brand loyalty.

Derya Matras, VP for Global Business Group at Meta, commented:

“As people want content and services that are more relevant to them, they are increasingly drawn to brands that make them feel understood.”

Maturity Model for Personalization

The report outlines a four-level maturity model to help you assess where you stand with personalization. The study links higher maturity levels with measurable business outcomes.

Level 1: Low Maturity

Data remains siloed, and messaging tends to be generic. Personalization, if present, is rule-based and limited to a few channels.

Level 2: Medium Maturity

Some systems are integrated, enabling basic audience segmentation and limited customization across channels. These organizations may also use analytics tools and consent management.

Level 3: High Maturity

Unified customer profiles and identity resolution enable greater personalization across multiple touchpoints. Predictive modeling and dynamic content are more common.

Level 4: Champion Maturity

Real-time personalization, generative AI, and clean-room tech support tailored omnichannel experiences. Teams collaborate across departments, with AI governance integrated into decisions.

Three Personalization Strategies

The study outlines three personalization strategies:

  1. Customer-based: Tailors experiences to individuals based on personal data and behavior.
  2. Cohort-based: Segments audiences based on shared traits or behaviors.
  3. Aggregated data-based: Uses anonymized, large-scale datasets to identify general trends.

The report doesn’t suggest a single best method. Instead, it offers examples to help you evaluate what fits your capabilities and goals.

Looking Ahead

For marketers assessing their next steps, the maturity framework offers a structured way to evaluate readiness across people, processes, and technology.

Rather than treating personalization as a software problem, the report frames it as a long-term shift in how organizations structure teams and manage data.

The Intersection Of Video SEO And Social Media: Tactics To Win

Your video strategy isn’t working unless it’s search-friendly. Get real tactics to boost visibility where it matters.

Chelsea Alves Chelsea Alves 4.1K Reads
The Intersection Of Video SEO And Social Media: Tactics To Win

Video content is now a driving force behind consumers’ attention in today’s digital era.

Gone are the days of simple blog posts and stock images.

Social media has transformed what entices clicks, follows, and likes, displaying a consistent stream of highly engaging visual content for users to sift through.

Visual content, particularly in the form of video, is a winning content format.

In fact, during the third quarter of 2024, a whopping 92% of internet users worldwide watched online videos on a monthly basis. The opportunity is massive, and now is the time for social media marketers to embrace the evolution of effective content marketing.

Videos, however, don’t just show up in social media algorithms and search engine results pages (SERPs) because we create them.

Success is contingent on numerous factors, perhaps the most notable of which is SEO.

Success in today’s digital landscape means knowing how to optimize your videos to appear more favorably in both search and social media. The intersection of video SEO and social media is now more closely tied than ever.

In this post, we will uncover the tried and tested tactics necessary to capture attention, prompt clicks, encourage engagement, and ensure your video shows up when people search for your products or services.

Why Video SEO Matters More Than Ever

More than half (56.4%) of all social media ad budgets in the U.S. went to video in 2024. That share is projected to hit 60% by 2026.

If your strategy doesn’t prioritize video, you’re missing where the money (and the momentum) is going.

Most people are inherently visual learners and, therefore, prefer to consume content in the form of a video rather than reading lengthy chunks of text.

Google, TikTok, Instagram, and YouTube are all strong advocates for this form of content creation.

Google, which acquired YouTube nearly two decades ago, often displays YouTube videos at the top of the SERPs, especially if that video can satisfy search intent quickly.

TikTok has skyrocketed in popularity over recent years, praised for its visually appealing, short-form video format, allowing users to connect with people and businesses in more meaningful ways.

On the other hand, YouTube continues to dominate the social media market, with many younger audiences turning to social media to answer their questions rather than traditional search engines.

YouTube remains the second most popular social network worldwide in terms of monthly active users, right behind Facebook.

Simply put, brands that aren’t creating videos will fall behind as video continues to remain front and center across the web.

From a technical SEO perspective, video content:

  • Typically sees viewers sticking around longer and earns attention better than written content.
  • Can increase engagement and help surface the video higher in results with optimized thumbnails and metadata.
  • Be shared with others or embedded on websites if users deem the video valuable, which helps increase a brand’s domain authority.
  • Encourage users to take action by clicking through to a landing page or consuming more video content from the brand.
  • Improve brand awareness as watchers find a product or service for the first time.

Bottom line? Video can be a high-impact asset across the funnel if you follow SEO best practices to become more discoverable.

How Social Media Influences Brand Discoverability

Social platforms have become key drivers of content discovery, supported by a recent study that found social media is the preferred product discovery channel for Gen Z and Millennials, with Gen X and Boomers quickly jumping aboard the growing trend.

The same study found 33% respondents reported having discovered a product on social media in the past three months.

Whether it’s TikTok serving as a search engine for Gen Z or Instagram Reels driving top-of-funnel awareness, social media isn’t just a distribution channel. It is now playing an integral role in SEO strategy and helping brands get discovered by highly motivated audiences..

Social engagement and content can both act as indirect ranking signals that can amplify your video’s reach:

  • Shares and saves can improve organic search visibility.
  • Comments can highlight to search algorithms that consumers find your content engaging and relevant.
  • Higher watch times can prompt search engines to see your video as authoritative and credible on the topic.

When your video content performs well socially, it can prompt a ripple effect across the entire digital ecosystem, including coveted positioning in the search results.

Video SEO Strategies That Also Boost Social Performance

Video optimization is crucial to discoverability.

Many foundational SEO tactics remain relevant when it comes to video optimization.

Each platform will require slight refinements. However, overall SEO efforts will look largely similar across each platform.

Here are a few areas that deserve your time and attention.

Conduct Keyword Research

Keyword optimization is still a must to be found in social media and search platforms.

However, the keyword you’d wish to target may vary by platform. Conduct keyword research for each platform you plan to distribute your video to.

To find the keywords that are getting the most traction, type your desired keyword into the search bar to find trending topics and phrases related to that keyword.

For example, TikTok’s Creator Search Insights tool shows what users are searching for most on the platform, along with suggested keywords and even scripts to help you create high-performing promotional content for your business.

Additionally, keyword research tools like TubeBuddy, VidIQ, and Google Trends can help you identify high-volume phrases that resonate with your intended audience.

Don’t stuff your title with keywords and expect it to perform well. Instead, make it compelling and searchable. Example: “Want Clear Skin in 7 Days? This Acne Fix Changed Everything”

Optimize Thumbnails

Your video thumbnail will be the first thing customers might see on both YouTube and social feeds.

It should match the context of the video, but should also be engaging enough to get people to stop scrolling and click on your content instead.

Close-ups tend to perform better as the image appears less abstract than overly crowded images.

Additionally, brand your visuals for consistency so that potential customers start to recognize your video thumbnails whenever they come across them.

Use bold text, expressive faces, and high contrast colors in your video thumbnail to grab attention and communicate the video’s value at a glance.

Leverage Transcripts And Captions

Closed captions aren’t just for making your content more accessible. They can actually help search engines understand your video.

Captions and transcripts provide text-based content for crawlers, which can help boost your video’s search visibility.

YouTube indexes this text, increasing the likelihood of keyword terms and phrases spoken in a video appearing in relevant searches.

Transcripts can be turned into content such as social and blog posts, amplifying your message further.

Implement Structured Data And Schema Markup

If you plan to host videos on your own website, add VideoObject schema markup to help Google better understand your content, such as your video title, description, duration, upload date, and more.

Schema markup can also help improve the chances of your videos appearing in rich results like featured snippets or video carousels, increasing the likelihood of being found in search and customers clicking through to learn more.

Create Custom URLs And Metadata

Your videos should be treated like any other piece of high-value content you produce.

Use a clear and relevant URL structure to improve SEO clarity. Be sure to include keywords in your URLs as well.

In addition to your URLs, you should optimize your video metadata, such as your title tags, descriptions, and thumbnail alt text.

This helps search engines index your videos appropriately and ensures consistency when videos are embedded, shared on social media, or linked across channels.

Craft Engaging Intros

Your introduction is your first opportunity to capture a viewer’s attention. It sets the tone and stage for what’s to come. It makes or breaks if a viewer drops off or if they continue to consume your content.

Keep the first few seconds of your video punchy and unique. You only have a few seconds to make an impression, so make them count. It’s worth getting to the meat of your content quickly.

If you’re using TikTok or Instagram, use trending audio to capture attention and potentially appear to more consumers. Use relevant hashtags to surface keywords and terms related to your video content.

Create Playlists

YouTube gives brands the option to create playlists to help increase engagement and dwell time.

Playlists should include videos that relate to each other to ensure an optimal user experience.

For example, a home improvement company may want to create a playlist featuring “how-to” videos to assist customers who want to tackle home projects on their own.

For YouTube videos, use relevant tags and strong descriptions that include your focus keyword or keywords to boost your SEO efforts. End screens are also an optimal opportunity to give users a next step.

What action do you want the viewer to take next? Include a strong call-to-action (CTA) to encourage viewers to click through to a product page, subscribe to your newsletter, follow your YouTube channel, and more.

Include A Call To Action

For most businesses, a video is not only an opportunity to provide informational content to an audience, but it’s also a tool to encourage viewers to perform a desired action.

A simple end promoter should not be the only place you include your CTA, as some viewers may not watch until the end of your video.

Including your CTA early in your video is recommended to capitalize on viewer attention.

Another area to include your CTA is in your caption (Instagram, Facebook, X, and TikTok) or your description (YouTube).

By putting your CTA in more places, your customers will hear your message loud and clear, and may be more likely to convert.

Common Mistakes To Avoid

Even seasoned marketers can miss the mark with video if they’re not careful.

Keep the following in mind when optimizing your social media for SEO to ensure you adhere to best practices and avoid common mistakes.

Over-Optimizing

Don’t over-optimize your content for search and lose human appeal.

This includes injecting as many keywords as possible within your video, where the dialogue sounds unnatural and unhelpful. Over-optimizing may also look like adding too many irrelevant tags.

Ignoring Platform-Specific Specs

Each social media platform has specific video guidelines to adhere to, such as dimensions, length, and caption formats.

Be sure to familiarize yourself with each to provide a positive user experience irrespective of the platform.

Failing To Engage With Your Audience

If your business has time to create a video, it must also make the time to respond to comments.

Social media responses act as a signal for improved search visibility, helping your content be highlighted.

Responses also encourage interaction and show that your business values its customers.

Not Testing

You might not get it right the first time, which is where A/B testing becomes useful.

A/B testing allows your business to see what’s resonating with users and what isn’t. Test your video titles, thumbnails, copy, and CTAs to see what works best.

Only Focusing On One Platform

Social media users are active on myriad social media platforms. You want your business to be found everywhere your customers are looking.

Don’t focus all your attention on one place. Instead, spread the love and create a solid social media presence across the platforms where your target demographic spends their time.

Not Posting Consistently

Make your presence known on social media. Just as you regularly produce written content, your brand should also produce a steady stream of video content.

Customers prefer diverse content formats. Video increases engagement and also helps break up your feed, helping you to create a more visually appealing profile for your business.

Not Linking To Your Social Media Profiles On GBP

Your Google Business Profile offers myriad opportunities to advertise your business and your products or services to searchers.

One of these features is the ability to add your business’s social media profile links to your GBP.

Take advantage of this free opportunity to help drive customers to your social media channels to learn more about your brand and engage with your community.

Why Alignment Wins

Video SEO and social media go hand-in-hand.

Proper video SEO helps your brand appear more favorably in the SERPs, improves your chances of appearing for featured snippets, and ultimately drives more eyes to your landing pages.

As social media and SEO continue to intertwine, optimizing video for each and every social media channel is a non-negotiable.

To stay ahead, social media marketers should:

  • Follow best practices for each platform.
  • Prioritize creating and distributing video content.
  • Let data guide your video strategy.
  • Test different formats and messaging to see what works best.
  • Learn where your target audience spends their time.
  • Respond to feedback and comments.
  • Optimize every single video.
  • Delve into the data to uncover key findings.

Marketers who optimize for both discovery and engagement, while also adhering to the unique dynamics of each platform, will be the ones who win attention, build authority, and drive more potential revenue for the business.

Start by creating one video. Choose a high-performing piece of content, turn it into a 60-second video, optimize it for search and social, and track how it performs across platforms.

Chances are, the return will be well worth the work.

More Resources:


Featured Image: Xavier Lorenzo/Shutterstock

Generative AI And Social Media: Redefining Content Creation

Learn the impact of AI on social media strategies, helping brands create captivating and engaging content effortlessly.

Chelsea Alves Chelsea Alves 5.5K Reads
Generative AI And Social Media: Redefining Content Creation

Social media offers a valuable channel for businesses to connect with their prospects and current customers.

A whopping 63.9% of the world’s population spends time on social media. Yet, social has also become an increasingly difficult forum to stand out in as more businesses continue to seek to capitalize on the opportunity that awaits.

The need for frequent updates, diverse content dependent on social media platforms, high-quality visuals, and compelling copy puts pressure on marketing teams to consistently deliver, often with limited time and resources.

This is where generative AI comes into play.

AI-powered tools can help automate many aspects of social media content creation, helping brands write witty captions, generate unique images, and even produce videos.

However, leaning on AI to help draft social media content comes with one notable dilemma: efficiency versus authenticity.

In this article, we’ll explore how brands can make the most of generative AI while still adhering to brand standards, diving into how AI can be put to work for social media marketers in an ethical and authentic way that captures customer interest.

What Is Generative AI In Social Media?

Generative AI enables social media marketers to quickly and nearly effortlessly generate different types of content, such as text, images, videos, and even audio.

AI learns patterns from vast datasets and can translate this vast amount of information into content that aligns closely with what a human could create.

Unlike traditional automation, which follows pre-set templates, generative AI generates new content based on the prompts the end user provides.

AI is becoming widely adopted, as 75% of marketers are either testing the waters with AI or have fully implemented AI in their operations.

For social media marketers specifically, AI is being used to help generate post copy, reply to comments, create AI images, and much more.

How AI Works For Social Media Content

Generative AI has changed the game for content creation and impacted the way social media marketers engage with their followers and analyze insights across their social media channels.

However, it’s important to note that human creativity remains a must. AI is paramount to incorporate into every marketer’s day-to-day efforts, but it must be used wisely.

Here are a few ways social media marketers use AI to automate routine tasks.

AI For Text Generation

Perhaps one of the primary uses for AI-powered language models is to create engaging content for a variety of divergent social media formats, including:

  • Photo and Reels Captions: AI can generate catchy, concise, and engaging captions tailored to different platforms.
  • Responses: AI can suggest follow-up replies to comments and feedback, helping brands create engaging threads that encourage participation and further conversation.
  • Thought Leadership: AI can help businesses discover ideas and angles for longer-form content like blog posts or content for LinkedIn, helping brands establish and position themselves as thought leaders.
  • Ad Copy: AI can help generate ideas for succinct yet meaningful ad copy, providing several options for A/B testing to see what resonates best.
  • Hashtags: Need help crafting the right hashtags? AI can help generate hashtags related to your business and what people are looking for to help boost visibility.

In order to create relevant content that converts, AI tools analyze what content performs best and what gets customers to engage.

As with any AI-generated content, it’s imperative to have human oversight to ensure your message aligns with brand voice and tone and is factual.

Here’s an example of AI in action.

Consider a travel brand that wants to encourage people to travel to a new destination. It might use AI to create a few different versions of a caption. Here are a few different examples of captions AI created:

  • Casual: “Looking for your next adventure? 🏝️ Book your dream trip today!”
  • Luxury: “Indulge in an unforgettable getaway at our exclusive beachfront resort. 🌊✨”
  • Call to Action (CTA) Focused: “Flights are filling up fast! Book now and escape to paradise. ✈️🌴”

With a few versions to choose from, brands can quickly tailor their messaging for different audiences and can pick the one that will resonate most with their potential customers.

AI For Image And Video Creation

Visual content is growing increasingly popular, given the rise of TikTok and Instagram.

A recent study found that nearly 22% of marketers reported that over 75% of their content this year was visual content.

The same study found that 34.3% of marketers said that visual content made up at least 20-50% of their overall content marketing strategy.

Given the high demand for engaging visual content, marketers are tasked with finding the resources (and time) to create high-quality visuals.

Bandwidth constraints and a lack of creatives can lead to marketers producing solely text-based content. Enter Generative AI.

Generative AI can now produce high-quality graphics, illustrations, and videos without requiring a human designer. Below are a few ways AI is reshaping how visual content is made:

  • AI-Generated Images: Tools like DALL·E, MidJourney, and Canva AI allow marketers to create custom graphics based on text prompts.
  • AI Video Generation: Platforms like Runway ML and Synthesia allow marketers to create short promotional videos, product showcases, or AI-powered explainer videos without the need for a videographer or video editing.
  • Smart Image Editing: AI tools can make images look better by boosting certain elements like brightness and saturation, removing backgrounds, and enhancing low-resolution graphics. This helps to ensure that every visual your business publishes is high-quality and up to brand standards.

Consider a beauty brand that plans to launch a new skincare product. The beauty brand could use AI to:

  • Generate realistic AI-created images of the product, such as on a bathroom counter, on different skin tones, or in a model’s hand.
  • Create a short promotional video that introduces the product, explains its benefits, and gives tips for application.
  • Modify user-generated content (UGC) by removing cluttered backgrounds or enhancing lighting for a more professional look.

AI visuals help businesses save on labor like production costs and editing fees while allowing brands to generate unique visuals at scale.

AI For Automated Engagement And Customer Interaction

Social media marketers know that engagement is key to growing a business’s social media presence.

AI-powered technology can now manage customer engagement, responding to social media comments and direct messages in real-time.

This helps brands boost engagement while also ensuring customers receive timely, thoughtful responses.

  • AI Chatbots: Platforms like Drift and ManyChat allow businesses to automate FAQs, product recommendations, and customer service questions through social media messaging.
  • AI-Driven Comment Moderation: AI can analyze and respond to user comments, helping brands respond quickly to customer feedback.
  • Real-Time Sentiment Analysis: AI tools track user sentiment, identifying positive engagement opportunities and potential PR risks.

For example, a restaurant brand can use AI automation to:

  • Respond instantly to frequently asked questions like “Are you open for brunch on the weekends?” with pre-programmed answers.
  • Automatically direct users to a reservation link when they ask, “How can I book a table?”
  • Flag and escalate negative reviews or complaints for human customer service intervention.

For example, a popular fast-casual restaurant revamped its customer experience by mining through a plethora of customer feedback to identify areas of improvement.

The restaurant found it could improve its ordering and delivery systems by mining for common negative feedback.

By proactively addressing this feedback and making swift changes, the restaurant was able to boost its Google star rating from 4.2  to 4.4.

The Benefits Of AI In Social Media

A recent global survey found that 38% of professionals in marketing, PR, sales, and customer service identified increased efficiency as the top advantage of using generative AI for social media marketing.

The same report found that 34% of respondents highlight easier idea generation as a key benefit of generative AI, showcasing the technology’s growing role in streamlining content creation and strategy.

Generative AI has many potential use cases such as allowing brands to seamlessly create, manage, and optimize content at a rapid pace that would be difficult to replicate with a human touch alone.

The following are other major advantages of AI in social media.

Speed And Efficiency

AI produces content with just a few clicks. Enter a prompt and users will receive a response nearly in an instant.

Social media marketers have turned to AI to help generate captions, posts, responses, and more to help streamline work.

This reduction in time allows social media marketers to focus on actual strategy, drive revenue, and grow the brand’s social media presence.

Social media marketers no longer need to invest time in brainstorming the perfect hashtags, a catchy caption, or relevant copy as AI can generate multiple diverse content variations in seconds.

Responding to comments is an equally essential task and AI enables personalized responses to customer feedback rapidly.

Scalability

For some brands, their target audience’s frequent different social media platforms. Each platform requires a different content strategy.

For example, longer-form content typically performs well on LinkedIn, whereas shorter-form content is necessary for X (Twitter) given its character limit.

Lean marketing teams may find value in using AI to scale content production to remove some of the burden of work from the team.

  • AI-generated content allows brands to post frequently without the need to come up with fresh ideas for each channel.
  • AI-driven scheduling tools automatically determine when the ideal posting times and dates are based on engagement trends.
  • AI can adjust content formats dependent on the channel, such as lengthening a short-form Instagram caption into a long-form LinkedIn post.

For example, an agency running multiple client accounts might use AI to help generate content or brainstorm potential content ideas without hiring additional writers.

Personalization

AI is able to review a wealth of information in a matter of seconds, analyzing user behavior and preferences to help create relevant content for different audience segments.

AI-driven audience insights enable brands to understand what type of content resonates most.

It can also translate and adapt messages to fit regional preferences as well, adhering to that region’s unique tone and other popular nomenclature.

For example, a fitness brand creating targeted messaging for individual locations across the country might use AI to adjust language, tone, and services based on regional audience behavior.

Cost Savings

Prior to AI, copywriting, graphic design, and video editing were left solely to the professionals.

Now, AI tools can present significant cost savings, reducing the need to rely entirely on professionals, if needed.

AI-generated images and videos can eliminate the need for costly video and photo creation and reduce reliance on external agencies.

For example, a small business that may have previously spent thousands on its creative needs can now use AI tools to create ads with minimal effort or expertise.

Maintaining Brand Authenticity With AI Content

One of the biggest concerns surrounding the use of generative AI in social media marketing is the risk of losing the brand’s individuality and unique voice.

In turn, the brand can be seen as disingenuous and inauthentic, both of which greatly erode brand trust.

Consumers have become accustomed to AI and are getting smarter at detecting AI-generated content. This is why it’s essential to have a high level of human oversight.

A human must be tasked with reviewing any and every piece of content that gets published, ensuring content matches brand voice and tone.

While AI-generated content can be a game-changer for streamlining work, over-reliance on it and leaving it unchecked can lead to misinformation, impersonal messaging, and generic content that fails to connect with audiences.

To maintain brand authority in the AI era, brands must be deliberate and strategic in their usage of AI.

Creative storytelling and quality content continue to reign supreme.

Only humans can truly discern whether messaging aligns with brand voice standards and will land right with their audience.

How To Use AI Ethically And Effectively In Social Media Marketing

Generative AI can best be seen as an assistant, a tool that helps marketers streamline work but still requires editing and oversight.

Left unchecked, it can lead to false information, poor user experiences, and, in extreme cases, lost sales.

To ensure you’re using generative AI in a way that’s ethical, responsible, and meaningful for your target audience, avoid the following tactics:

  • Overreliance: Avoid using AI excessively and look at it more as a tool for idea generation.
  • Lack of Human Editing: Ensure AI-generated content has human oversight. The future of AI will still require a level of human intervention to ensure authenticity and accuracy.
  • Generic Content: Humans crave connection. AI models, while sophisticated, can lack human emotion. This can lead to less engaging content or content that relies heavily on clichés, buzzwords, or generic phrasing that every other brand is using. Use AI-generated content as a starting point and refine it with human expertise.
  • Inconsistent Voice: AI finds information from a variety of sources, which can translate to diverse tones and voices in the content it returns. Train AI tools to understand your brand’s unique voice and tone by sharing past content with them. Have a human editor review each piece of content to ensure it aligns with brand guidelines and standards.
  • Forgetting the Power of UGC: Brand content is great, but the power of user-generated content can’t be forgotten. UGC can help tell your brand’s story from a customer’s point of view. Potential customers often rely on testimonials to convince them to convert.
  • Lack of Transparency: The future of AI will call for even greater transparency for disclosing when brands are using AI. Ethical concerns have already been raised about what’s real and what’s artificially created, and these concerns will only continue to grow in the future.
  • Only Using AI Visuals: AI-generated visuals can be high-quality and cost-effective, but brands should try to incorporate their own images and UGC as well. Customers are growing to accept AI visuals, but in the future, they’ll likely still welcome company-owned and produced images and videos.

The Future AI For Social Media

The current frontier of AI is exciting, presenting myriad opportunities to scale content at a rapid pace.

However, as exciting an opportunity AI may seem, it doesn’t and can’t replace humans.

Only humans have the expertise and emotion necessary to connect with other humans. Striking a balance between automation and authenticity is a must.

Social media marketers who successfully harness AI will strategically use the technology to assist, rather than replace, human creativity.

Those that can strike a balance will be able to take advantage of AI’s myriad benefits while also maintaining meaningful connections with their audiences.

More Resources:


Featured Image: ImageFlow/Shutterstock

Should Your PPC Strategy Focus On The Lead Pipeline Or Revenue?

Choosing between pipeline and revenue focus defines how campaigns behave, how performance is judged, and how reliably PPC contributes to profit.

Brooke Osmundson Brooke Osmundson 577 Reads
Should Your PPC Strategy Focus On The Lead Pipeline Or Revenue?

Marketing leaders often believe they have a performance problem when, in reality, they have a goal problem.

A PPC strategy built around generating leads behaves very differently than one optimized for revenue.

The campaigns you choose, how you measure success, and even how your sales team operates all depend on which objective governs the budget.

For B2B organizations, this choice defines the relationship between marketing and sales. This decision moves past traffic metrics and focuses on defining whether PPC’s role is to build opportunity or generate revenue impact.

The Tradeoff Behind Pipeline And Revenue Goals

Focusing on pipeline means optimizing for potential deals. The intent is to create qualified conversations, fill sales calendars, and give teams more at-bats. The success metric is typically cost per qualified lead or cost per opportunity.

Focusing on revenue means optimizing for outcome. The intent is to turn opportunities into booked business and prove marketing’s direct impact on the bottom line. The metric is return on ad spend or cost per acquisition.

Neither is wrong. But, treating them as interchangeable creates confusion.

Pipeline growth without strong sales follow-up inflates cost and hides inefficiency. Revenue-only optimization without top-funnel activity stifles learning and can lead to short-term thinking.

Each goal exposes a different bottleneck. Pipeline focus reveals whether you can attract quality interest. Revenue focus reveals whether you can close it. The right answer depends on where your business struggles most.

Pipeline Metrics Often Hide Sales Inefficiency

Marketers often celebrate growing lead volumes.

On the surface, increased lead volume looks like success. But when those leads stall in the CRM or die in early qualification, pipeline efficiency is exposed as illusion.

If PPC campaigns are judged by form fills alone, marketing gets rewarded for quantity, not quality. This disconnect fuels friction between teams: sales claims the leads are weak, and marketing insists the follow-up is slow.

Both can be true.

Healthy pipeline strategies require alignment on the following:

  • What “qualified” means for leads.
  • How fast leads must be contacted.
  • How performance is measured after the click.

Without that rigor, pipeline-focused PPC becomes a reporting exercise, not a growth driver.

The fix isn’t more leads. It requires better accountability.

Audit how many paid leads convert into sales-accepted opportunities and how long it takes to reach them. If it takes more than 24 hours to follow up, the bottleneck isn’t the ad platform. It’s the underlying sales process.

Revenue Targets Expose What The Business Really Values

Optimizing for revenue forces a company to define value clearly. It requires clean CRM data, accurate conversion imports, and disciplined attribution practices.

Revenue-centric marketers must work with finance to determine what a closed deal is worth and with sales to ensure those values reflect reality.

This approach usually reveals operational truth. It shows which campaigns truly impact profit and which only create activity.

But, it also makes experimentation harder. When every dollar is tied to short-term return on investment (ROI), the incentive to test new audiences or messaging weakens.

The strength of a revenue goal is accountability. The weakness is tunnel vision. Leaders must guard against starving early-stage demand just because it doesn’t pay back this quarter.

The best teams track revenue, but they also understand that sustainable growth requires a healthy flow of qualified leads entering the system. Without it, future quarters run dry.

Your PPC Strategy Should Mirror Business Maturity, Not Ambition

Early-stage or growth-phase companies benefit from pipeline goals. They need to identify who their buyers are, what messaging resonates, and how long sales cycles actually take.

At this stage, the objective is learning: understanding your buyer’s behavior, sales cycles, and message fit.

Mature organizations with stable win rates and predictable close processes can afford to optimize for revenue. They typically have enough historical data to assign accurate value to each lead and to let algorithms bid toward true profit.

The problem arises when leadership chooses a revenue goal before the business infrastructure is ready for it.

Without reliable data, automated bidding and attribution models will chase signals that don’t represent real revenue.

The reverse is also true. If you continue to stick with pipeline goals after sales maturity, it could mean you’re leaving efficiency on the table.

Your PPC strategy must evolve as the company evolves. Ambition without readiness is expensive.

Choosing Platforms And Campaign Types That Match The Goal

Pipeline-focused PPC leans on platforms that build awareness and nurture intent.

Search campaigns that target problem-focused queries, LinkedIn lead gen ads for mid-funnel education, or YouTube video campaigns that spark curiosity. The goal is to drive qualified hand-raisers, not instant conversions.

Revenue-focused PPC leans on channels closer to purchase intent.

These include exact match search targeting competitor or solution terms, or Performance Max campaigns tied to bottom-funnel content, and remarketing strategies that capture existing demand.

Mixing both goals in the same campaign infrastructure could lead to confusing machine learning. For example, if your conversion actions mix “ebook downloads” with “booked demos,” the system doesn’t know what success looks like.

Separate campaigns by goal. Let each optimize toward its true signal.

The Metrics That Matter When You Pick A Side

Pipeline-driven PPC programs should live and die by downstream metrics: lead-to-opportunity conversion rate, cost per qualified meeting, and time to first contact. Reporting should start in the ad platform but end in the CRM.

Revenue-driven PPC programs should focus on cost per acquisition, return on ad spend, and contribution margin. These numbers link directly to the income statement, not the lead dashboard.

Blending both in one key performance indicator (KPI) report creates false comfort. When leadership sees total leads up but revenue flat, it’s not a mystery; it’s mixed measurement. Align metrics with the goal and accept that fewer, cleaner numbers are better than an overstuffed dashboard.

When Is It Time To Shift Gears?

If we, PPC marketers, know anything, it’s that nothing ever stays the same for long.

Markets change. Sales teams grow or shrink. Financial pressure shifts quarterly targets. Knowing when to pivot between pipeline and revenue is what separates reactive marketers from strategic ones.

If lead volume is high but win rates are stagnant, it’s time to transition to a revenue goal. The company has awareness, but now it needs conversion discipline.

If close rates are strong but opportunity flow is inconsistent, the bottleneck is likely at the top of funnel. Revert to pipeline focus until sales capacity stabilizes.

No strategy should stay fixed forever. PPC performance must mirror business conditions, not personal preference.

Great Teams Measure Progress Alongside Output

Effective teams approach PPC with the discipline of an investment program, focused on long-term gain rather than quick wins.

They know some campaigns exist to generate qualified opportunities that pay off in future quarters, while others are designed to drive revenue right now.

They hold themselves accountable to both sets of numbers, but they know which KPI or goal is steering the ship. They challenge their own assumptions.

If paid media performance looks good but sales growth lags, they dig deeper. If campaigns drive profit but new logo acquisition stalls, they test top-funnel messaging again.

This mindset separates tactical advertisers from strategic marketers. The former chase metrics. The latter tie PPC to business health.

Stronger leaders align their marketing systems to shift focus between pipeline and revenue with clear intent and timing.

They know that PPC cannot fix a broken sales process or replace disciplined follow-up. But, it can magnify what already works and identify what doesn’t, faster than any other channel.

More Resources:


Featured Image: Remo_Designer/Shutterstock

2026 Marketing Agency Playbook: Data-Backed AI Pivots That Ignite Growth
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