Technology marketing changes quickly because the products, platforms and customer behaviours surrounding it also change quickly. A strategy that produced strong results two years ago may now attract less attention, cost more money or fail to reach the people involved in a buying decision.

Artificial intelligence is changing how content is created, campaigns are managed and customers search for information. Short-form video is becoming an established business communication format rather than something used only for entertainment. Search engines are presenting AI-generated answers alongside traditional results. Buyers expect more relevant communication, yet they are increasingly concerned about how companies use their data. At the same time, trust, expert opinions and genuine customer experiences are becoming more important in crowded technology markets.

Salesforce’s latest State of Marketing research found that artificial intelligence has already become widely adopted among marketers, although many organisations still struggle to connect data, personalisation and automation effectively. HubSpot’s 2026 marketing research also identifies artificial intelligence, personalised content and short-form video as major priorities. These changes mean that technology companies cannot treat modern marketing trends as temporary ideas. They must decide which developments support their customers and commercial goals. (HubSpot Blog)

Using modern marketing trends does not mean following every new platform or copying competitors. It means identifying useful changes, testing them carefully and integrating successful approaches into a wider marketing system.

Begin with Customer Behaviour, Not Marketing Fashion

A marketing trend is only useful when it reflects a meaningful change in customer behaviour. Technology businesses should avoid adopting tools simply because they are receiving attention.

Before investing in a trend, the company should ask several practical questions. Does the target audience use this platform? Does the trend help customers understand the product? Can it improve acquisition, conversion, retention or customer experience? Does the business have the skills and resources to use it properly?

For example, short-form video may work well for a technology company that can demonstrate its product visually. However, it may provide limited value if the business produces videos without a clear audience, message or call to action.

Similarly, artificial intelligence can help a marketing team research topics, organise information, analyse performance and create initial content drafts. However, using it to produce large quantities of generic material may weaken the company’s voice and search performance. Google advises that AI-supported content should still be original, accurate and useful to people. Publishing large volumes of low-value automated content may breach its policies on scaled content abuse. (Google for Developers)

Modern marketing should therefore begin with customer needs. Trends should strengthen the strategy, not replace it.

Use Artificial Intelligence as a Marketing Assistant

Artificial intelligence is one of the most significant developments affecting modern marketing. It can help technology companies complete repetitive tasks, analyse information and create more relevant customer experiences.

Marketing teams can use AI to summarise customer feedback, generate campaign ideas, identify patterns in performance data, prepare content outlines, personalise email messages and support lead scoring. It can also help smaller teams complete work that would previously have required more staff or external support.

However, a technology business should not use artificial intelligence without clear human control. AI-generated information may be inaccurate, repetitive or inconsistent with the company’s brand. It may also fail to understand the emotional and commercial context behind a customer’s decision.

A sensible approach is to use AI for support rather than complete replacement. The tool can create a first draft, while an experienced team member checks the argument, facts, tone and relevance. It can group customer questions, while the marketing team decides which problems deserve priority. It can identify possible audience segments, while employees verify that the groups make commercial sense.

Salesforce’s 2026 State of Marketing research reports widespread use of AI among marketers but also highlights continuing difficulty in producing relevant, connected customer experiences. The lesson for technology companies is that access to AI does not automatically improve marketing. Results depend on good data, clear processes and responsible human judgement. (Salesforce)

Prepare for AI-Based Search

Search behaviour is changing. Customers can now receive summarised responses through AI Overviews, AI Mode and other generative search tools before visiting a website.

This development does not mean search engine optimisation is no longer relevant. Google’s current guidance states that established SEO principles remain important because its generative search features still depend on core search quality and ranking systems. Websites must remain technically accessible, indexable and useful to be considered for visibility within these experiences. (Google for Developers)

Technology companies should therefore improve the quality and structure of their content rather than searching for shortcuts. They should create clear answers to important customer questions, use descriptive headings, provide original examples and support claims with evidence.

Content should also demonstrate real expertise. A general article explaining “the benefits of cloud software” may add little value because similar information already exists on thousands of websites. A detailed guide explaining how Nigerian financial institutions can evaluate cloud security risks would be more specific and useful.

Tech businesses should also create content around complex customer questions rather than relying only on short keywords. People increasingly use conversational searches such as, “Which project management platform is suitable for a remote design team with external clients?”

Pages that answer these questions clearly may have a better opportunity to appear in traditional and AI-supported search experiences.

The company should still maintain basic SEO practices, including clear page titles, internal links, mobile usability, fast loading, accurate structured information and accessible website architecture. AI search should be treated as an extension of search strategy, not a completely separate discipline.

Produce Helpful Content Instead of Content at Scale

Generative AI has made content production faster, but it has also increased the volume of similar articles, posts and emails competing for attention. As a result, simply publishing more content is no longer a strong advantage.

Tech companies should focus on content that competitors cannot easily reproduce. This may include customer research, original survey results, real implementation experiences, expert interviews, internal data, detailed case studies and practical product knowledge.

For example, a general article on “how artificial intelligence improves business” may sound similar to hundreds of other articles. A study showing how medium-sized Nigerian retailers use AI to manage stock could offer stronger value.

Content should be designed around a clear customer need. Some materials may help people understand a problem. Others may support product comparison, implementation, technical assessment or purchasing decisions.

A strong modern content system may include educational articles, short videos, webinars, customer stories, technical documentation, newsletters and sales materials. These formats should not operate separately. A detailed report can become an article series, webinar, video clips, email campaign and sales presentation.

Google continues to emphasise people-first content that offers reliable and useful information rather than material created primarily to influence rankings. This makes genuine expertise and originality increasingly important for technology brands. (Google for Developers)

Use Short-Form Video to Explain Technology

Short-form video has developed into a valuable marketing format for technology companies. It can be used to explain features, demonstrate workflows, answer customer questions and introduce industry ideas in an accessible way.

HubSpot’s current marketing research continues to identify short-form video as one of the strongest-performing content formats. Video also remains prominent in business-to-business marketing, with LinkedIn research identifying it among the formats marketers consider most effective. (HubSpot Blog)

Technology businesses do not need to copy entertainment brands to use short videos successfully. A cybersecurity company might explain one common security mistake in sixty seconds. A financial technology business could demonstrate how a payment is processed. A software company could show a feature before and after automation.

The video should normally focus on one idea. Trying to explain the entire product in a single short clip can create confusion.

A useful structure is to begin with a customer problem, show the solution and conclude with a clear next step. For example:

“Your team spends hours transferring customer information between systems. Here is how our integration completes the process automatically.”

The company should also add captions because viewers may watch without sound. The first few seconds should make the topic clear, while the language should remain direct and natural.

Longer materials can also be divided into short clips. A webinar may produce ten useful videos. A customer interview may produce several quotes and demonstrations. This allows the business to gain more value from each recording.

Build a Recognisable Expert Voice

Technology buyers face an increasing amount of automated and promotional content. This makes credible expertise more valuable.

Thought leadership allows founders, technical specialists and senior employees to share informed views on market developments, customer challenges and the future of their industry.

LinkedIn’s 2025 B2B Marketing Benchmark places strong emphasis on trust, brand authority, customer advocacy and credible thought leadership. Its findings suggest that weak differentiation, limited proof and the absence of a clear executive perspective can make B2B technology brands appear generic. (LinkedIn Business Solutions)

Thought leadership should not consist only of company announcements. A chief technology officer might discuss common implementation mistakes. A founder could explain lessons from building the product. A cybersecurity specialist could comment on emerging threats.

The views should be useful and specific. Repeating statements such as “AI is transforming every industry” adds little value. A stronger contribution would explain which uses of AI are genuinely practical, which are exaggerated and what businesses should examine before investing.

The company should allow experts to sound human. Highly polished posts that appear to have been written by a corporate communications department may attract less trust than a clear personal perspective.

Expert content can be distributed through LinkedIn, webinars, podcasts, industry publications, newsletters and company blogs. One informed point of view can strengthen both the personal reputation of the expert and the authority of the brand.

Treat Trust as a Marketing Metric

Technology purchases often involve risk. Customers may need to share data, change established systems, train employees or depend on the provider for an important service.

Modern marketing must therefore do more than attract attention. It must reduce uncertainty.

A technology company can build trust through detailed case studies, verifiable customer results, independent reviews, security information, certifications, service standards and transparent pricing.

Trust also depends on consistency. If an advertisement promises easy implementation but onboarding is confusing, the company weakens its credibility. If the website claims responsive support but customers wait several days for help, marketing promises become a liability.

Customer advocacy is particularly valuable. A potential buyer is more likely to trust another customer’s experience than a general claim from the company.

LinkedIn’s recent B2B research identifies customer advocacy, proof of results and consistent brand positioning as important elements of market trust. Technology businesses should therefore measure reviews, referrals, case-study participation and customer willingness to recommend the product alongside traditional metrics. (LinkedIn Business Solutions)

Trust should not be treated as a soft or abstract concept. It influences conversion, sales cycles, retention and referrals.

Use First-Party and Zero-Party Data Responsibly

Technology companies need customer data to improve targeting and personalisation, but they must also respect privacy and earn consent.

First-party data is information a company collects through its direct relationship with customers. This may include website activity, product usage, purchase history, email engagement and support interactions.

Zero-party data is information customers intentionally provide, such as their preferences, goals, interests or communication choices.

These forms of data can help businesses create more relevant experiences without depending entirely on information purchased or collected through outside platforms.

A software company could ask a trial user about their organisation size and main objective. It can then provide suitable onboarding guidance. An email subscriber may choose which topics they want to receive rather than being placed into a general newsletter.

Salesforce’s marketing research continues to emphasise unified data, personalisation and responsible use of customer information as major priorities. Its guidance on zero-party data also highlights the value of information that customers willingly share for a clearer benefit. (Salesforce)

The exchange must be transparent. Customers should understand what information is collected and why. Personalisation should make communication more useful, not make people feel watched.

Personalise the Customer Journey

Modern customers expect companies to recognise their interests and stage in the buying journey. However, meaningful personalisation goes beyond placing a person’s first name in an email.

A technology business can personalise communication based on industry, company size, role, product behaviour, content interests and previous interactions.

A new visitor may receive educational material. A prospect who has attended a product webinar may receive a case study. A user who has not completed onboarding may receive practical support. An active customer may receive information about advanced features.

The goal is to guide each customer towards a useful next step.

The company should avoid excessive complexity at the beginning. A small technology business may start with three or four important segments rather than building dozens of automated journeys.

Personalisation also depends on accurate data. Poorly connected systems can create embarrassing experiences, such as sending introductory information to an existing customer or repeatedly promoting a product someone already purchased.

Salesforce’s recent research shows that marketers continue to prioritise personalisation while facing challenges involving disconnected data and customer trust. This means technology companies should improve their data quality before increasing the complexity of their automation. (Salesforce)

Use Marketing Automation Without Losing the Human Element

Automation can help technology businesses manage increasing volumes of leads and customers. It can support email follow-up, trial onboarding, lead scoring, customer education, renewal reminders and re-engagement.

The main benefit is consistency. Every new trial user can receive essential guidance, even when the marketing team is small.

However, automation should not make the customer experience feel mechanical. A high-value prospect may require personal contact. A customer reporting a serious problem should not receive a standard promotional sequence. A long-term customer may expect communication that recognises the relationship.

Technology companies should decide which interactions can be automated and which require human judgement.

Routine reminders, resource delivery and basic onboarding are suitable for automation. Complex questions, commercial negotiations, complaints and strategic customer relationships generally require personal attention.

Automation should make human communication more timely and informed, not remove it completely.

Build Communities Around Shared Problems

Customer communities are becoming useful alternatives to purely promotional communication. They allow users, prospects and experts to exchange ideas, ask questions and learn from one another.

A technology company may build a community through LinkedIn, Slack, Discord, a private forum or regular online events. The platform should reflect where the target audience is comfortable participating.

A community should have a purpose beyond selling the product. A financial technology business might create a group for small-business finance managers. A cybersecurity provider could support a community focused on practical security awareness.

Members should receive useful discussions, expert access, product education or networking opportunities.

The company must also invest in moderation. A neglected group can quickly become filled with spam or unrelated content.

Community marketing takes time, but it can produce valuable feedback, customer loyalty, referrals and user-generated knowledge. It also gives the company direct insight into the language and problems of its market.

Work with Niche Creators and Industry Experts

Creator marketing is no longer limited to consumer products. Technology companies can work with analysts, developers, consultants, educators and respected industry professionals.

A niche expert with a smaller but highly relevant audience may produce stronger results than a general influencer with millions of followers.

For example, a developer tool could work with a software educator who publishes coding tutorials. A business accounting platform might collaborate with an accountant who advises small companies. A health technology product could work with a recognised healthcare management specialist.

The relationship should be based on relevance and credibility. The expert should understand the product and be allowed to communicate honestly.

Possible collaborations include tutorials, reviews, webinars, interviews, product testing and co-created reports.

The company should clearly disclose sponsored relationships. Transparency protects trust and allows the audience to judge the recommendation fairly.

Use Interactive Content

Interactive content helps customers engage directly with information rather than only reading or watching it.

Technology businesses can create return-on-investment calculators, assessments, quizzes, product tours, configuration tools, benchmarking questionnaires and interactive demonstrations.

For example, a cybersecurity company might offer a simple risk assessment. A cloud provider could develop a cost calculator. A workflow platform might allow prospects to build a sample process before registering.

Interactive tools can provide immediate value while helping the company understand customer needs.

The tool should remain simple enough to use. A complicated calculator requiring too much information may reduce completion.

Results should also be meaningful. The company should explain how the calculation was produced and avoid using exaggerated outcomes simply to promote the product.

Interactive content works best when it solves a small but relevant problem and naturally leads towards the wider product.

Turn Events into Long-Term Content

Webinars, conferences and product events should not be treated as one-time activities. They can become sources of content for several months.

LinkedIn’s current guidance encourages B2B organisations to plan event distribution beyond attendance by capturing video, quotations and expert discussions that can be adapted into later posts, articles and thought leadership. (LinkedIn Business Solutions)

A one-hour webinar may produce a full recording, several short videos, an article, an email series, a presentation, frequently asked questions and social media posts.

The company should plan this before the event. Speakers can be briefed to produce clear sections that work as individual clips. Questions from participants can become future content topics.

This approach improves marketing efficiency and allows people who missed the event to benefit from it later.

Connect Product-Led Growth with Marketing

Modern technology marketing increasingly involves the product itself.

Free trials, freemium plans, templates, interactive demonstrations and collaboration features allow customers to experience value before speaking with a salesperson.

However, product-led growth works only when users reach a meaningful result quickly.

The company should identify the activation moment. For a design platform, this may be creating a first design. For an accounting product, it may be issuing a first invoice. For a communication platform, it may be inviting a team member.

Marketing can support activation through onboarding emails, tutorials, sample projects, videos and in-product messages.

Product usage can also guide communication. A user who completes several key actions may be ready for an upgrade discussion. A user who has stopped engaging may need support.

This creates a closer relationship between marketing, product development and customer success.

Use Account-Based Marketing for High-Value Buyers

Account-based marketing is particularly relevant for technology companies selling expensive or complex products to organisations.

Instead of targeting a broad market, the company identifies a smaller number of valuable accounts and creates coordinated marketing and sales activity around them.

The business researches each organisation, decision-maker, current system and likely challenges. It can then develop relevant content, events, outreach and demonstrations.

For example, a cybersecurity company targeting banks may create personalised risk briefings for selected institutions. A cloud provider could produce migration plans for specific large organisations.

Account-based marketing requires close cooperation between sales and marketing. It should be measured through account engagement, meetings, opportunities and revenue rather than general lead numbers.

The approach is not suitable for every product. It works best when each customer has high potential value and the sales process requires several stakeholders.

Combine Brand Building with Measurable Demand

Modern performance tools make it easy to focus only on activities that produce immediate clicks or leads. However, technology companies also need long-term brand recognition.

Potential customers may not be ready to buy when they first discover the company. They may remember a useful report, expert comment, video or event and return months later.

Brand building makes the business familiar before a purchasing need becomes urgent. Demand generation then provides a clear path when the customer is ready to act.

A balanced strategy may combine thought leadership, educational content and public relations with search campaigns, email nurturing and product demonstrations.

The company should not expect every brand activity to produce an immediate sale. However, it can monitor branded searches, direct website traffic, market recognition, customer feedback and the influence of content on later opportunities.

LinkedIn’s B2B research emphasises the importance of category recognition, consistent brand assets and social trust. These factors are especially relevant for tech companies competing in markets where product features are becoming increasingly similar. (LinkedIn Business Solutions)

Measure Trends Against Business Results

A modern marketing trend should not be judged only by attention. The company must determine whether it supports meaningful outcomes.

Short-form video may be measured through qualified website visits, product interest or assisted conversions rather than views alone. AI automation may be assessed through time saved, improved response speed or better lead conversion. Community marketing may be evaluated through retention, referrals and product feedback.

The business should select one main outcome and a small number of supporting indicators for each initiative.

For example, the purpose of an interactive calculator may be to generate qualified demonstration requests. Supporting measures may include completion rate, contact details submitted and progression into sales opportunities.

The company should also consider cost. A trend may produce results but still be unsuitable if it requires more money and staff than the business can sustain.

Performance should be reviewed over a realistic period. Search, community and brand-building activities may require more time than paid advertising.

Test Trends Before Expanding Them

Technology businesses should begin with controlled experiments.

A company interested in short-form video might produce ten videos around one customer problem. It can then compare engagement, website traffic and enquiries with other formats.

A business testing AI personalisation could begin with one email sequence rather than changing its entire marketing system.

The experiment should have a defined audience, timeframe, cost and success measure.

After the test, the company should decide whether to continue, improve or stop the approach.

One unsuccessful campaign does not always prove that the trend is ineffective. The audience, message, timing or execution may have been weak. However, companies should also avoid continuing an initiative simply because it is popular.

Evidence should guide expansion.

Avoid Common Mistakes When Following Trends

One common mistake is adopting every new tool. This divides the team’s attention and produces inconsistent execution.

Another is using AI to increase content volume without improving quality. Generic material may reduce trust and add little search value.

Some technology businesses invest in popular platforms even when their customers are not active there. Others copy informal consumer marketing styles that do not suit their brand or market.

Companies may also collect customer data without explaining the benefit or obtaining proper consent. Personalisation that feels intrusive can damage trust.

Another mistake is measuring surface-level numbers. Views, followers and AI-generated output do not automatically produce customers.

Finally, businesses sometimes abandon proven channels too quickly. Email, search, customer referrals and direct relationships remain valuable even when new trends emerge.

Modern marketing should combine new capabilities with established principles rather than treating each trend as a replacement for everything that came before.

Create a Modern Marketing Trend Plan

A practical trend plan should begin with the company’s goals and customer journey.

The business should identify areas where performance needs improvement. It may need stronger awareness, better content production, improved conversion, faster onboarding or deeper customer retention.

The team can then select one or two trends that address those needs.

For example, a company struggling to explain its product may test short-form video and interactive demonstrations. A business with weak lead follow-up may introduce AI-supported segmentation and email automation. A B2B company lacking credibility may invest in expert thought leadership and customer case studies.

Each initiative should have an owner, budget, timeline and measurement plan.

The company should review results regularly and record what has been learned. Successful approaches can then become part of the normal marketing process.

Final Thoughts

Modern marketing trends provide technology businesses with new ways to understand, reach and support customers. Artificial intelligence can improve efficiency, AI-based search can create new discovery opportunities, short-form video can simplify technical ideas, and first-party data can support relevant communication.

However, trends are not strategies on their own.

The strongest technology companies use new methods selectively. They begin with customer problems, test ideas carefully and connect every activity to a commercial objective.

They also preserve the elements that technology cannot replace. These include genuine expertise, customer trust, useful evidence, clear communication and human judgement.

A company does not need to become active on every platform or use every available AI tool. It needs to identify the developments that improve its ability to create and communicate customer value.

Modern marketing is most effective when innovation and discipline work together. The tools may change, but the central responsibility remains the same: understand the customer, solve a meaningful problem and communicate the value honestly.