Layer 01 / 04
Marketing, directed by data.
We turn behavior into data, data into direction, direction into growth. AI accelerates the hypothesis; the decision stays with the brand.
The strategy conversation tends to collapse into two poles: on one side, annual deck-of-slides vision documents that get filed and forgotten; on the other, performance dashboards that hit daily numbers without any underlying thesis. In the middle, where strategy connects to the daily operating rhythm, there’s a real systems gap. beynart works in that gap: an operating partner that fuses strategic thinking with data science, lowers decisions onto weekly dashboards, and translates hypotheses into 4-week experiments before debating them further.
At beynart, strategy isn’t a market take; it’s a data-driven action plan. We build systems designed to understand who your customer is, why they buy, and what they’ll do next. One principle sits at the centre: every thesis ties to a measurable experiment; every experiment ties to a decision input; every decision becomes the input to the next thesis. We don’t have the strategy conversation until that loop closes.
With 10+ years of experience, we’ve worked with Türkiye’s leading brands. Textile manufacturer, e-commerce operator, financial services firm, B2B software company: the tactics change with the sector, the principle stays the same: measure first, then optimise. The value of a strategic partnership is not the year-end growth number; it’s the quality of the decisions made all year long.
Strategy and Insight is the first step of your digital transformation. Collecting the right data at the right moment, and meeting it with the right decision: that’s where the system that runs your marketing operation begins. Performance media, automation, content, and the underlying technology stack only start producing real returns once that decision system is in place. The reverse rarely works: teams that build performance campaigns first and ask “why didn’t this work?” later share the same root cause: there is no system feeding the decision.
If, over the next 12 months, you want marketing to stop feeling like luck, to have a team that argues from data in leadership meetings, and to treat growth as a repeatable engineering problem, let’s open an introductory call with our team. In the first 45 minutes we’ll map your current questions, the data you have on hand, and the 2-3 most critical decisions for the next quarter. If a reason to work together comes out of that conversation, we’ll prepare scope and a sprint plan. If it doesn’t, you’ll at least have sharpened the questions you’re carrying. Both are worth the time.
Strategy isn't a slide; it's a working system. When the decision-maker sits down at the table, they should already know: which segment responds to what, where the budget actually returns, which assumption was tested by which experiment. For beynart, strategy is the infrastructure that connects data to live operations, gets measured, and evolves over months. Not a one-off investment but a working pattern that enters leadership rituals, surfaces in weekly dashboards, and rewrites the channel portfolio every quarter. The six themes below summarise what we've seen repeat across customers over the last three years.
4 weeks hypothesis to decision
We build the data collection, experiment design, and decision framework so leadership can test a hypothesis in 4 weeks. Typical customer: decision cycle drops from 6 months to 2-4 weeks, meaning the same budget answers roughly 8× more questions in a year. Side-effect: the cost of being wrong shrinks to a small share of the total bet.
30-60% MER improvement
We make every marketing dollar visible: which channel returns what. Multi-touch attribution + incrementality testing + segment-level LTV models pull allocation away from gut and toward data. Average outcome we measure: MER lifts 30-60% in the first 6 months; 15-25% of paid spend gets cut as obvious waste.
12-18 interviews per quarter
12-18 depth interviews per quarter + behavioural segmentation + LLM-assisted synthesis. ICP moves from guess to clarity. Message architecture, channel selection, product roadmap: all feed from this clarity. Side-effect: "why did we lose this deal" stops being folklore inside sales; meeting debates shift from opinion to evidence.
10× analysis speed
LLM-assisted customer interview synthesis, demand forecasting, churn scoring, vector-based personalisation. AI reads data 10× faster; interpretation and the decision stay with the brand. Practically: your analyst team spends its 40 hours per week framing hypotheses and designing tests, not cleaning raw data.
3 functions single decision table
The real job of the strategy doc is alignment: marketing, sales, product, and finance operating off the same segment definitions, the same threshold metrics, the same experiment calendar. CFO + CMO + CPO meetings shift from territorial debate to shared prioritisation. Without this alignment, the technical infrastructure produces noise, not insight.
90 days thesis refresh cycle
Strategy isn't a project; it's a rhythm. Monthly review + quarterly channel-portfolio revision + annual thesis refresh. Industry average for "strategy refresh" is 18-24 months; we bring it to 90 days. The next growth thesis comes out of the same infrastructure that measures the current one; there's no cost to starting over.
in this layer
01
Brand positioning, message architecture, channel strategy, and execution roadmap. The decision doc spells out assumption, experiment, and threshold side by side.
02
Market sizing, competitive analysis, customer segmentation, and qualitative/quantitative research. A standing programme on a quarterly cadence, not a one-shot study.
03
Data warehousing, BI dashboards, AI-powered customer insights, and predictive models. Infrastructure that keeps lowering the cost per decision.
go deeper
use case
Behavioral clustering plus LLM-assisted personas: a testable ICP in four weeks.
We move beyond demographic lists into segments built from behavior and product-usage signals. Each segment gets a channel, message, and offer hypothesis that can be measured.
deliverable
Warehouse, dbt and dashboards: a decision-grade data layer in eight weeks.
We consolidate fragmented data from spreadsheets and tools into a single warehouse, model it with dbt, and feed dashboards that marketing, product, and finance use every day.
deliverable
A hypothesis backlog and an A/B engine: the disciplined path from idea to decision.
We turn the "let's also try this" instincts of marketing, product, and sales into a prioritised hypothesis backlog and a weekly decision rhythm. Every test has its success criteria and decision memo written in advance.
how we work
A 4-week sprint cycle. Each sprint produces a measurable output and a decision input. Sprints connect, but each delivers value on its own. No phase hangs waiting for the next one to "fully finish."
01
We map your existing data, customer base, channel mix, and organisation. In most projects, strategy doesn't start with questions about the market; it starts with questions about your own data: which questions can we answer, which ones are we missing? Discovery holds an honest mirror up to the organisation.
02
Marketing intent, segment selection, message architecture, and channel portfolio become decisions on paper. The decision document spells out which assumption gets tested by which experiment, and at what threshold you'll say yes or no. The measure of strategy is not slide count; it's the clarity of decisions to be made over the next 90 days.
03
Data warehouse, dashboards, AI models, and segmentation pipeline. Feeds data into the operations team's daily decisions. The measure of infrastructure isn't "how many tables"; it's "how long does it take an analyst, on their own, to answer a new question?" Target: 30 minutes.
04
Strategy and infrastructure land in the field. The first 4-6 experiments go live. Creative briefs, channel optimisation, personalisation rules. Activation is the moment the organisation answers the question "is this strategy ours?"
05
A monthly recurring ritual: experiment outcomes, segment performance, budget allocation. Quarterly channel portfolio revision, annual thesis refresh. beynart stays as the partner of this loop until your team runs it on its own. Typically the function is internalised in 9-12 months; we remain as an alignment partner.
frequently asked
by the numbers
90
Day roadmap
12+
GTM playbooks
100%
Data-driven decisions
4
Pillar integration
Let's find the layer that fits your need and map where the architecture begins.
We bring the systems and the products already built for it, ready to run, not just to pitch.
