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TikTok Playbook for SMB

FEBRUARY 11, 2026

TikTok’s SMB Creative Playbook is all about how creative execution is the biggest performance lever for small and medium businesses.

Here are the key takeaways:

Creative: Strong hooks in the first 2–3 seconds significantly impact completion rates. Multiple creative variations outperform a single “perfect” ad.
Native: Shoot vertically (9:16) and design for full-screen viewing. Use on-screen text to reinforce key messages. Incorporate trending sounds and cultural moments when relevant. Avoid overly polished, traditional ad aesthetics.
Structure: Start with a question, problem, claim, visual disruption. Show the product early. Demonstrate value through storytelling, not feature lists. Close with a clear, simple CTA.
Test: Launch multiple hooks for the same offer. Refresh creatives frequently to prevent fatigue. Test different creators, angles, and messaging styles. Use performance data to guide the next round of content.
Authenticity: Feature real founders, employees, or customers. Use UGC-style formats to build trust. Focus on relatable problems and transformations. Speak in a natural, conversational tone.
Systematic: Build a repeatable content pipeline. Repurpose organic posts into paid ads. Develop creative templates to scale production. Treat creative testing as an ongoing growth engine.

Dive into the 40-page guide from TikTok for Business.

Google Ads Shifts From Keywords to Intent

FEBRUARY 11, 2026

Google Ads is moving from a keyword-matching engine to an intent-modeling system.

Instead of auctions being triggered primarily by specific phrases and match types, Google’s AI now evaluates the broader context of a search, including user behavior, signals, and predicted needs, to determine which ads are eligible.

Keywords still exist, obviously, but they function more as inputs into a machine learning system rather than strict triggers.

So, what does that mean for us?

Broad match and AI-powered campaigns gain priority in modern placements.
Negative keywords are essential guardrails in automated environments.
Campaign consolidation often improves performance by giving AI more data.
Ad creative should address problems and outcomes, not just repeat search terms.
Landing pages must satisfy the underlying need behind the query.
Search term reports should be analyzed for intent patterns, not literal matches.
First-party data and audience signals strengthen targeting precision.
Account structure should reflect buying stages and user goals.
Performance may fluctuate more as intent modeling evolves dynamically.
PPC strategy is becoming more aligned with SEO’s focus on intent clusters.

Take a closer look at Search Engine Land.

What’s the Best Podcast Episode Frequency?

FEBRUARY 4, 2026

Deciding how often to publish a new podcast episode? Well… follow up: what does your audience actually consume?

Bumper recommends using your average episodes per verified listener as a deciding metric. This measures how many episodes a typical listener plays over a given time period (weekly or monthly) based on actual platform engagement, not just downloads.

A show might publish 4–6 episodes in a month, yet the average listener only tunes into 2 of them. When your publishing frequency far exceeds what your listeners play, you could be overproducing relative to audience appetite… and even increase the likelihood that automatic downloads stop.

Consistency still matters, but so does alignment with your audience’s behavior and your production capacity.

Here’s a quick overview to help you think about frequency:

Daily or weekday releases: high frequency for news and short‑form shows
Weekly episodes: the most common for serials and recurring formats
Bi‑weekly or monthly: good for deeper or long‑form content
Seasonal batches: focused runs with breaks in between

Know your numbers, match your audience’s listening habits, and choose a schedule you can actually pull off. Get the full scoop at Bumper.

How to Grow Your Personal LinkedIn Following

FEBRUARY 3, 2026

Growing your LinkedIn audience starts with optimizing your profile so the right people can find and connect with you. LinkedIn profiles with a clear value proposition get more views and invites.

From there, posting consistently, typically two to five times per week, keeps you visible and signal-boosts your expertise to the algorithm.

Pick a few core themes you can own and craft strong hooks that invite users to click “see more” and hit Follow. Mix up formats too: text posts, carousels, videos, and polls all serve different discovery and engagement purposes.

Thoughtful replies to comments, proactive networking, and interacting with others’ posts builds relationships and drives algorithmic reach, too.

Here’s a quick list of growth levers:

Optimize profile headline + summary
Post consistently on core themes
Use diverse content formats
Engage actively with your network
Leverage LinkedIn features (Polls, Live, Newsletters)
Evaluate analytics to iterate faster

Head to Buffer for more.

What is Liquid Content?

FEBRUARY 2, 2026

Liquid content: Instead of a publishing traditional article, publishers are increasingly publishing info that can flow across formats and surfaces and be reshaped into summaries, audio, video, chat responses, or personalized briefings in real time, based on who’s consuming it, when, and how.

We’re talking about stories that adapt to context, location, time, and interaction. Think of stories now as flexible “atomic” content units, not documents.

What’s behind the shift? Yep, you guessed it.

Agentic AI browsers and answer engines are already liquifying content by pulling, summarizing, and recombining reporting on the fly. That’s what audiences want. Static articles risk becoming invisible, and authors that don’t get on board risk their content powering experiences they don’t own.

And beyond just repackaging for the medium, true liquid content adapts to individual users’ habits, preferences, and intent. That’s why simply turning articles into audio doesn’t really count (that’s more like multimodality). Liquid content is dynamic, personalized, and continuously evolving.

What liquid content unlocks (and complicates):

Faster, lower-friction access to information
Personalized formats (bullet points, audio, video) by moment or mindset
New product experiences beyond pages and placements
Serious challenges around accuracy, editorial control, and ownership
Organizational change across editorial, product, and tech teams

And if that hasn’t liquified your brain, take a closer look at Digiday.

Ogilvy Social.Lab’s 2026 Social Trends Report

FEBRUARY 1, 2026

Ogilvy Social.Lab’s 2026 Social Trends Report, “Social with Substance & the Return to Real,” describes a shift from the classic attention economy toward “intention economy,” where brands earn relevance by respecting people’s time, intelligence, and values, rather than interrupting them with noise.

Sounds like a dream, right?

The report elevates “realness” from a creative buzzword to a strategic design principle. Human truth becomes a scarcity asset. Authenticity must be operationalized through systems that prioritize credibility and lived experience.

These are the 5 “Rules of Realness” brands should embrace in 2026:

Shift focus from mindless reach to purposeful engagement.
Prioritize smaller, interest-led communities where belonging > broadcast.
Show human effort and imperfection over synthetic polish.
Trust human curation and POV over automated feeds.
Blend entertainment and commerce with creators at the forefront.

Dig into the full report at Ogilvy.

How Apple and Google Updates Shifted Email & SMS

JANUARY 28, 2026

Apple and Google’s 2025 platform updates have quietly rewired how email and SMS perform.

Now, inbox interfaces are more automated and filtered and less forgiving, which means we have to rethink visibility, measurement, and trust across owned channels.

What this means for email and SMS in 2026:

Inbox placement matters more. Apple Mail’s updated categorization and Gmail’s subscription management tools reduce passive visibility. Emails are increasingly grouped, summarized, or hidden behind extra taps, making “send and hope” a losing strategy.
Opens are even less reliable. AI-generated previews, collapsed messages, and background loading are further eroding open rate usefulness. Clicks, conversions, and downstream behavior now carry more weight.
Send frequency is under scrutiny. Gmail’s “Manage subscriptions” view makes it easy for users to spot and unsubscribe from brands that over-send. High-volume, low-value programs are most at risk.
Content has to earn the tap. Subject lines and preheaders no longer fully control first impressions. Clear value, relevance, and scannable copy matter more than cleverness.
SMS is no longer inbox-guaranteed. Apple’s expanded filtering for unknown senders can route brand texts away from the main message feed, especially for promotional traffic.
Trust signals are critical for SMS. Saved contacts, conversational messaging, consistent sender IDs, and transactional value help messages bypass filtering.
Cross-channel orchestration wins. Email and SMS need to work together. Use SMS for urgency and confirmation, email for depth and storytelling.
List quality beats list size. Engagement-based segmentation, suppression of inactive users, and preference centers are now defensive tactics, not “nice-to-haves.”

Whew, that’s a lot. Take a closer look at MarTech.

How to Track Email Traffic in GA4

JANUARY 28, 2026

IYKYK: Email service provider metrics have their place (like opens and clicks), but they don’t tell the full story of post-click engagement and conversion.

GA4 lets you see how email-driven sessions behave on your site in the same analytics property where you track other channels.

Here’s how to track email traffic in GA4:

Add UTM parameters to links. Tag all email URLs with campaign source, medium, and name so GA4 properly attributes visits to your email sends.
Use GA4 Reports & Explorations. In Acquisition reports or a custom Explore, filter by email traffic to see sessions, engagement, and conversions tied to your campaigns.
Track vital metrics beyond opens. Look at sessions from email, engagement rate, conversions, time on site, and pages per session to judge real audience interest.
Compare traffic by campaign and landing page. Break down performance to see which emails and pages drive the strongest results.
Export and share reports. Save and share your GA4 explorations for team visibility and strategic decisions.

Dig into the full guide by Designmodo.

What if AI Overviews Misrepresent My Brand?

JANUARY 26, 2026

So, you may have noticed… Google’s AI Overviews can get it wrong sometimes.

Egregious errors and minor mistakes have the potential to mislead users and misrepresent brands, which means marketers have a new reputation risk on our plates.

AI Overviews synthesize answers from across the web, but they don’t consistently represent context, nuance, or brand intent. Because they prioritize terseness and pattern matching over verification, they can strip out crucial detail and turn opinions or forum comments into de facto facts. Zoinks.

But users increasingly trust and act on whatever the AI summarizes first, often without clicking further.

Not to mention the impact on traffic and visibility. Brands featured in AI Overviews often see reduced CTR on their own sites because searchers get answers without visiting them.

What’s a brand to do?

Audit your AI footprint. Regularly search branded and category queries and document how AI Overviews describe you. Treat this like reputation monitoring, not keyword tracking.
Clarify facts everywhere. Publish simple, explicit statements on your site (FAQs, About pages, explainers) that clearly define what your brand does and doesn’t do. Ambiguity is AI bait.
Strengthen authoritative signals. Use structured data, expert bylines, original research, and citations. AI Overviews favor content that looks definitive.
Control third-party narratives. Review how forums, reviews, and comparison sites talk about you. AI often pulls from these, even when brands ignore them.
Optimize for summaries, not just clicks. Write content assuming it may be excerpted or paraphrased by AI. Clarity beats cleverness.

Check out the insight from Search Engine Land for more.

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