Red House B2B Marketing is a B2B marketing agency for technology and software companies — enterprise software and SaaS, cloud and managed IT services, cybersecurity, data centers, AI and data, and enterprise networking. Reaching decision-makers across technology, security, financial, and executive leadership. For more than two decades, Red House has helped Technology and Software companies translate complex offerings into clear, credible narratives grounded in real-world application.
Experience spanning complex, integrated Technology environments — including a flagship hybrid cloud platform launch into a Top 100 account list.
Enterprise software, cloud infrastructure, data and AI, cybersecurity, and integration platforms — across modern and legacy systems.
Market research, audience strategy, positioning, portfolio architecture and go-to-market planning.
Campaigns, content, digital experiences, media and account-based programs built for real buying groups.
Measurement, optimization, audience insight and a learning rhythm that compounds over time.
October 2026 edition
A concise, human-reviewed monthly read on the structural shifts changing how Technology & Software markets move.
CIO.com’s October analysis makes the renewal version of the same point: licenses, activations and prompt counts show distribution, not durable value, and abandonment reveals who tried a tool and walked away.
Sellers must bring quantified outcomes, real examples and retention evidence forward — not save proof for the business review.
Sellers should move the proof to the front of the funnel. An ROI calculator with the buyer’s own inputs, quantified customer outcomes and a financial-justification one-pager belong in early-stage content, not held back for the business-case stage — because evaluation now starts with the finance question. Renewal discipline matters just as much: marketing claims built on licenses sold or seats activated will be tested against actual usage, so publish adoption depth and retention evidence, and let customer proof show sustained use rather than launch announcements. Sales teams should ask early how the buyer will judge value at renewal; that answer tells you which evidence to build the deal around.
Pricing is following the work — toward hybrid subscriptions layered with credits, consumption and transaction or outcome fees. G2’s July report shows buyer preference for outcome-based pricing more than doubling in a year.
Marketers must explain the new unit, forecast its cost and tie it to output buyers can defend.
Pricing change is a marketing problem before it is a billing problem. Buyers cannot defend a unit they cannot forecast, so vendors moving to consumption or outcome pricing need cost calculators, worked examples by usage level and a plain explanation of what triggers a charge. Content should tie the unit to output — the work completed, not the mechanism behind it — and give the internal champion language finance will accept. Sales teams should expect pricing itself to be a competitive battleground: a rival with a clearer, more predictable unit can beat a better product. Announce changes with math attached, or buyers will assume the math is bad for them.
AI is therefore building the shortlist before a seller’s site is visited. What gets a vendor cited matters: G2 says review-site citations most inspire confidence in an AI recommendation.
Marketers who only optimize pages for clicks risk invisibility; positioning, peer proof and machine-readable product truth now decide consideration.
Marketing budgets and effort have to follow the buyer into the answer box. That means treating review platforms and third-party proof as primary media: current, detailed customer reviews are what AI answers cite with confidence, so review generation is now a demand program, not a reputation chore. Product truth needs to be machine-readable — clear capability, pricing and comparison information an answer engine can quote accurately. Teams should also audit what the major chatbots currently say about their category and their brand, then fix the gaps with source content. If your positioning only exists in gated PDFs and homepage copy, the shortlist will form without you.
Two migrated engagements from the Red House case library — the client, the work and the outcome, as each case was reported.
A global provider of data management and infrastructure solutions, launching its flagship hybrid cloud storage platform into its Top 100 accounts. Red House interviewed top sellers, mapped their methods into defined buying stages, and delivered a turnkey Sales Tunnel ABM framework — creative, automated nurture, a Salesforce-integrated microsite and retargeting — in 90 days.
We've supported network and infrastructure leaders operating within FCC-regulated environments, helping align positioning and messaging to real-world constraints.
It helps technology and software companies sell to business and IT decision-makers through positioning, demand generation, account-based marketing, content and digital advertising. The sale is committee-based and comparison-driven, so clarity about what the product replaces or improves is the core of the work.
AI, data and analytics; business information and data services; cloud and managed IT services; communications and collaboration; cybersecurity, identity and network security; data centers and interconnection; enterprise networking and connectivity; enterprise software and SaaS; ERP and business applications; HR technology; legal technology; and workflow and process automation, among others.
Cybersecurity buyers are technical, skeptical and comparison-driven, and the category is crowded with similar claims. Red House’s work in this sub-industry starts with a position a security leader can verify, then builds demand and account-based programs around the specific audiences — security, IT and executive — who share the decision.
GEO — generative engine optimization — is the work of making a firm the one AI answer engines name and cite when buyers ask category questions. It combines structured, answer-first content on the firm’s own site with presence in the roundups and directories the engines read. Red House offers it as AI search visibility, part of its Engagement discipline.
