Artı2000 case study: From brand modernization to performance marketing

If your product quality runs above the sector average but the brand barely reflects it, you’re standing where Artı2000 stood. Artı2000 is one of Türkiye’s leading industrial B2B brands. By the end of 2025, when they reached out, the situation was clear: product quality was above the sector average, but brand perception did not reflect that quality. The corporate identity was a decade old, digital assets had been produced in fragments by different agencies, and performance marketing budget was being spent without measurable targets. Sales teams spoke one language, marketing teams another, and there was no shared data layer between them.

This post walks through how we worked at beynart over six months. We repositioned the brand, rebuilt the digital ecosystem from scratch, and integrated the performance marketing infrastructure in parallel. We share four phases, three critical decision points, two big lessons, and the concrete metrics we landed at the end. The goal is not a victory lap. It is a playbook other industrial brands at the same starting line can adapt. The full case-study record lives at /case-studies/arti2000/; this post unpacks the decisions behind it.

Phase 1: Mapping the brand architecture

The first four weeks produced zero design files. Instead we ran a three-layer field study. Layer one documented the sector. We mapped the top ten Turkish competitors, the global players, and the new D2C entrants pushing into industrial categories. Layer two reconstructed the buyer journey. Artı2000’s customers followed the classic B2B path. Engineering ran technical research, procurement compared price and spec sheets, and senior leadership owned final approval. Each persona expected different content and different channels, so a single message could not reach all three.

Layer three was an internal inventory of the existing brand. We catalogued 240 visual assets produced by eight different agencies, fourteen tonal variations, three logo permutations, and three disconnected social accounts. We ran 30-minute one-on-one interviews with twelve people across marketing, sales, production, and senior leadership. Each interview followed the same prompt: what does the brand mean to you, what should it mean, what does it not mean. The picture was clear. The brand had fallen behind the product, and that gap was slowing the sales cycle. Phase 1 produced a 28-page brand architecture document and a four-point positioning frame. That document became the constitution for the next three phases.

The hardest moment in this phase was the recurring “when do we start designing” question. Internal stakeholders wanted comfort from a visual draft, not a 28-page document. We were direct. Starting design four weeks earlier would have meant redoing the same work two months later. The invisible labor of field study became the foundation for speed in later phases. In the final week of Phase 1, we ran an approval session with the marketing director and senior leadership where every line of the document was debated and objections were converted into written decisions. That decision log became the reference point for every creative dispute that came up later.

Phase 2: Rebuilding the digital ecosystem

In month two, three parallel workstreams ran on the same desk. The first was visual identity refresh. Working in Figma and Adobe Creative Suite, we shipped a new logo, a typography system, a color palette, an icon library, and a template set. A single Figma library meant every asset, from sales decks to product catalogs, came from one source. The second workstream was the new corporate site. We kept the existing WordPress installation but rewrote the theme and content architecture from scratch. We explain the reasoning in the next section. In short, it was a call to ship fast and protect the content team’s existing habits. The information architecture mapped to the three buyer personas. Engineers got technical datasheets, procurement got comparison tables, and senior leadership got reference stories.

The third workstream built the analytics + CRM backbone. We set up GA4 with a clean event taxonomy. Beyond pageviews, we defined events like form_step_completed, datasheet_downloaded, and demo_requested. Those events flowed into HubSpot, where every interaction was attributed to a known prospect. In Looker Studio, we built three dashboards, one each for marketing, sales, and senior leadership. Auto-refreshing weekly, those reports moved the “what is working, what is not” debate onto shared data. By the end of Phase 2, the site was live, the brand library was approved, and the data pipeline ran end to end. Without that infrastructure, the third phase was unmeasurable.

We rolled the site live on a two-week ramp. The sales team ran real customer scenarios on staging first, walking the product search, datasheet download, and quote request flows. Those tests produced 23 small fixes that all landed before launch. On the SEO side, we built a 301 redirect matrix. Every one of the 184 legacy URLs mapped to its successor in the new architecture, and no backlinks were lost. We watched Search Console daily for the next two weeks. Beyond the small wobbles you expect at launch, organic traffic held steady. By week three, it sat 12 percent above the pre-launch baseline.

Phase 3: Performance marketing operations

Months three and four were dedicated to performance marketing. We started by restructuring the budget. In the previous regime, 78 percent of spend went to Google Ads, but with no attribution model in place, no one could tell which campaign actually closed business. The new mix sat on three channels. Google Ads covered lower-funnel intent like “X product price” queries. Meta Ads covered mid-funnel education, putting technical content in front of sector professionals. Organic content covered upper-funnel demand, with SEO-driven long-form guides. Each channel had its own KPI, and cost per acquisition, cost per lead, and cost per qualified quote request were tracked separately.

For attribution, we picked the data-driven model. Instead of first-click or last-click, GA4’s machine-learning attribution distributed credit across multi-touch journeys. We also installed a weekly cadence in this phase. Monday morning brought a 30-minute stand-up reviewing the previous week’s metrics. Wednesday hosted a creative review. Friday closed with budget rebalancing decisions. Without that cadence, ad accounts drift in two to three weeks, and weekly discipline kept that drift in check. On the organic side, we shipped two long-form guides, four short-form blog posts, and two reactive sector-news pieces every month. Each piece linked to at least three others, building search authority as a cluster rather than as isolated articles.

Lead qualification also got a redesign in this phase. The sales team had been hand-grading every form submission, which was slow and inconsistent. We built a simple scoring model in HubSpot: 0 to 100 points based on company size, sector, product category, and engagement depth. Scores above 70 routed to sales automatically, 40 to 70 entered the nurture flow, and below 40 archived. That basic ruleset cut the sales team’s daily review load in half and lifted conversion rate, because the team stopped spending time on unqualified submissions.

Phase 4: Outcomes

After six months, four headline metrics told the story. Organic traffic grew 62 percent, with new information architecture, faster load times, and the content cluster all pulling in the same direction. Qualified quote requests rose 48 percent, which matters because that metric proves the right people, not just more people, were arriving. Media-buying CPA dropped 31 percent, meaning the same budget bought more qualified contact. The brand consistency score, an internal metric tracking how closely marketing, sales, and operations followed the brand guidelines, climbed to 92 percent from a starting point of 47 percent.

The marketing director summarized the engagement this way: “The beynart team didn’t just refresh our brand identity, they got our sales and marketing teams speaking the same language. Performance data exceeded our targets in the first quarter.” We highlight that quote because the real win is hidden inside it. Sales managers and marketing leads now read the same dashboard and run the same debate on the same data.

Secondary gains behind the headline numbers also stand out. The sales-to-MQL cycle dropped from 14 days to 6 as qualified leads moved from nurture to sales faster. Datasheet downloads climbed 38 percent, which served as indirect proof that the right visitor was reaching the right product page. Branded organic search volume — the “Artı2000” query — grew 71 percent, which is the practical proxy for recall. The full impact table sits at /case-studies/arti2000/.

Three critical decisions

Decision one: stay on WordPress or migrate to Astro. At beynart, we default to Astro on new projects. It is faster, cleaner, and cheaper to maintain. But Artı2000’s content team was fluent in WordPress, and the six-month timeline left no room for editor retraining. We rewrote the theme and content modeling from scratch and used WordPress itself as a library. Was it the right call? For shipping speed, yes. We will likely migrate to Astro within two years. This was a moment for the perfect not to be the enemy of the good.

Decision two: single-agency model or multi-agency orchestration. The client initially wanted “you do everything.” We took on brand, content, and performance marketing, and pushed video production to a specialist studio. A single agency doing everything tends to land at competent everywhere, deep nowhere. The orchestration model required more coordination but produced sharper output in each discipline.

Decision three: weekly versus monthly reporting. Monthly was the client’s habit, and weekly cadence drew pushback at first. Our reasoning was concrete. In performance marketing, three lost weeks equal 25 percent of monthly budget. Weekly dashboard automation and a 30-minute stand-up broke the resistance. By month three, the client became the loudest advocate for the weekly rhythm.

Two big lessons

Lesson one: performance marketing does not scale without brand work first. Before pouring money into ad accounts, the question “who is convincing whom of what” must have a sharp answer. Otherwise efficient-looking campaigns reach the wrong customer and break the sales cycle. Teams that skip Phase 1 end up doing the same work in reverse later.

Lesson two: do not write reports until the data layer is built. Setting up GA4 + HubSpot + Looker Studio in week one feels slow. But skip it, and the next five months turn every meeting into a “where does this number come from” debate. A disciplined data layer is the precondition for fast decisions. One footnote on the same point: changing measurement taxonomy after the fact is expensive. Spending an extra week to get definitions right on day one is far cheaper than walking back a month of data in month three.

Closing

The Artı2000 engagement showed that brand modernization and performance marketing can run on the same orbit. For the full numerical record, the customer quote, and the technical architecture, see /case-studies/arti2000/. If you are at a similar starting line and want to renew brand and performance operations together, take a look at our MarTech & AI Operations and Brand & Experience service layers, then get in touch. The first call is free and meant to clarify what to expect from the process.