B2B Digital Marketing Case Study | RivalMind

Where They Started

Newhaven Display makes the displays that power the products OEMs and manufacturers build — from automotive dashboards and medical devices to industrial controls and consumer electronics. As a global manufacturing leader across TFT, LCD, OLED, IPS, HDMI, and custom display solutions, their engineering expertise is deep and their product catalog spans standard sizes to fully custom configurations.

Their ideal buyer isn’t a casual browser. It’s a technical B2B buyer — an engineer or product team at an OEM who needs an embedded display that meets a precise set of requirements: size, interface, resolution, operating environment, lifecycle. They’re pulling datasheets, comparing specs, filling out custom solution forms, and requesting quotes. The purchase decision is deliberate and researched, and the person making it starts with a search engine or, increasingly, an AI assistant.

Newhaven needed to be the answer those buyers found. Not just visible, but credible — the source that spoke their language, matched their specs, and made the path from discovery to quote request as frictionless as possible. And that needed to happen before a salesperson ever got involved.

That’s the problem RivalMind was brought in to solve.

The metrics that matter most aren’t impressions or click-through rates. They’re the commercial signals — quote requests, custom solution forms, and web orders — that Newhaven tracks internally.

In the first 18-months of engagement. monthly online orders increased by more than 50%. Quote requests from OEMs and product teams grew by more than 53%. Custom solution form submissions — the highest-intent lead signal in Newhaven’s funnel — nearly doubled. And during the engagement, Newhaven set a new all-time record for both revenue and order volume in a single month.

The trend line keeps going up.

The Strategy

Three channels. One growth engine.

RivalMind built an integrated strategy across SEO, AI discoverability, and Google Ads — each channel designed to work independently and compound together over time.

SEO

Technical on-site optimization, product page and meta refinement, and keyword-targeted blog content developed in close partnership with Newhaven’s own engineering team. Content was built around the terms technical B2B buyers actually search — display interfaces, panel types like TFT, LCD, OLED, IPS, and HDMI, resolution comparisons, datasheet-level specs, and custom configuration options — with technical accuracy reviewed by Newhaven’s engineers before publication. The goal wasn’t just rankings — it was authority. Becoming the definitive resource for any OEM or product team researching display technology, from first search to final purchase.

AI discoverability

Structured data, LLM optimization files, and Answer Hub content were built to help ChatGPT, Perplexity, and Google's AI Overviews correctly index Newhaven's products and specs. RivalMind also developed a dedicated AI visibility tracking dashboard to monitor how the brand shows up across these platforms. The goal: surface Newhaven the moment an OEM engineer asks AI to recommend a display manufacturer, find a 7-inch TFT supplier, or compare panel types for their next product.

The Impact

What the numbers show

Search visibility that compounds

Year-over-year, organic impressions grew 115%. Newhaven now holds nearly 45% of total keyword visibility among tracked competitors — more than triple the share of the nearest competitor. The site ranks in the top three positions for 74 tracked keywords, including #1 rankings for high-intent terms across TFT, LCD, OLED, and touchscreen categories.

Individual keyword wins tell the story: one term jumped 96 positions in a single month. Another went from unranked to #2. A blog published by RivalMind’s team now ranks #1 and appears in Google’s AI Overview — cited twice in the same response.

The brand AI finds first

In a search landscape being rewritten by AI, Newhaven Display is ahead. Every month, hundreds of brand-new visitors arrive at Newhaven’s site directly from ChatGPT, Perplexity, and Gemini. These aren’t existing customers or branded searches. These are OEM engineers and product teams mid-project — researching display options, pulling specs, discovering Newhaven for the first time through AI.

When a technical buyer asks an AI assistant to recommend a custom display manufacturer, find a 7-inch TFT supplier, or explain the difference between IPS and OLED for their application — Newhaven Display comes up first.

Paid ads that work smarter

Restructuring the campaign architecture drove meaningful efficiency gains across every channel. Impressions and clicks trended upward without any budget increases. Dynamic search ads, layered in mid-engagement, generated incremental conversions at no additional cost — automatically matching the highly specific, spec-level searches that technical B2B buyers use when they know exactly what they need.

The longer the campaigns ran, the more the display campaigns matured into a remarketing effect — re-engaging OEM engineers and product teams who had visited the site during their research phase and were ready to move toward a quote request or purchase.