Fifteen years ago, we started building Conductrics to give teams a better way to run experiments. A lot has changed in the industry since then. To mark this milestone, we are reflecting on where the market is heading today, looking back at our roots, and sharing what comes next – including our brand new website and upcoming feature roadmap.
Optimization is not statistical quality control
In a market currently defined by rapid consolidation, where independent tools are frequently absorbed into larger ecosystems and platforms are forced to stitch together acquired codebases, it’s easy to lose sight of why we build software in the first place.
When we launched Conductrics in 2010, we had a simple thesis: true optimization requires intentional learning and deep customer empathy, not just mass-scale automation. Yet, over the last decade, the mainstream industry view has drifted. Drawing heavily from the playbooks of big tech, the market has slowly reduced digital experimentation to just another form of statistical quality control – a way to monitor traffic and find defects in millions of lines of code.
To borrow a hospitality analogy, the modern approach to experimentation is like operating a restaurant entirely focused on the ‘back of the house’. Immense effort goes into the efficient production of the meals and the running of the kitchen, but the system is fundamentally blind to the ‘front of the house’ – leaving teams without a reliable way to check if the diners are actually happy when they walk out the door.
While finding and fixing bugs is a necessary engineering function, a pure focus on scale blinds companies from what is truly important: the customer.
"Regardless of which statistical engine you use or how fast you can ship code, if your experimentation platform cannot natively ask the customer "why" at key moments, it puts the customer last."
A fundamentally different approach
At Conductrics, we view experimentation as a disciplined process for making intentional decisions. Optimization is only truly valuable when it is tightly aligned with the needs of the customer.
Pivoting from technology-focused experimentation to customer-aligned experimentation requires both a broader conceptual philosophy and a new technical approach. It means building direct customer feedback into the core design of experiments from the very beginning. Regardless of which statistical engine you use or how fast you can ship code, if your experimentation platform cannot natively ask the customer “why” at key moments, it puts the customer last.
When you rely solely on transactional measures, you see the “what” but remain blind to the “why.” If your platform cannot natively integrate direct customer feedback into the experiment itself, you are left guessing at user intent. You have no idea why your customers respond the way they do. True customer alignment means having the capability to ask the right questions at the right moments in their experience.
Building an engine capable of doing this, without breaking the reality of your enterprise data stack, is not something you can just bolt onto an existing platform. It’s a deep architectural challenge.
The architecture of customer focus
When we started Conductrics, our goal was to create the experimentation platform that we, as practitioners, would want to use ourselves. We built it around the idea of autonomous reinforcement learning agents running your optimization projects, with an API-first architecture designed with visitor privacy in mind from the ground up – years before GDPR forced the industry to care.
That first version of our service made sense technically, and we were proud of it. But what was truly exciting was listening to our early customers tell us what it would actually take to make it the platform they wanted to use. From that feedback, we discovered we were too early to market with our headless APIs, and we needed to build more tooling for the front-end. In other words, we had to meet teams where they were.
"Rather than adding features to justify a new subscription tier or chasing growth for growth's sake, we decided to focus entirely on building the platform that best helps our customers help their customers."
Building for the reality of the enterprise
Listening to that feedback is how we shipped the first truly useful version of Conductrics, and it’s how we found our first truly happy customers. That was the moment we realized that being customer-aligned wasn’t just a methodology for our software; it had to be the blueprint for our entire company.
This solidified our founding mission: We are the partner for companies that want to harness the power of experimentation to improve the customer experience and increase visitor satisfaction over the long term. Rather than adding features to justify a new subscription tier or chasing growth for growth’s sake, we decided to focus entirely on building the platform that best helps our customers help their customers.
Part of meeting customers where they are means offering enough flexibility to support messy, real-world use cases. Even the simplest online experiments have a surprising amount of nuance. Your reality involves custom eligibility rules, complexities around page-load timing, and intricate integrations with internal data models. Our job is to provide all these options without making the setup process unwieldy. It’s a tricky balance. As the famous quotation goes, “Everything should be as simple as possible, but no simpler.”
This customer-first focus extends directly to how we partner with you. We respect your time. We release platform updates around your schedules, not ours. We don’t believe in arbitrarily gating essential features; all product capabilities are included from day one. Single Sign-On (SSO) doesn’t cost extra. Onboarding, training, and direct support are built into the price. Invite us to your shared Slack channel – we want to be there! We view support not as a ticketing system, but as a peer-to-peer collaboration.
Listening to our customers for fifteen years has allowed us to build exactly what practitioners need, without the unnecessary bloat. Today, that means providing Conductrics Express for marketing agility, integrated surveys for user research, and a novel predictive engine for your data science team. It delivers sophisticated machine learning through simple models that are human-interpretable and auditable.
Unveiling the new Conductrics.com and the upcoming features for customer-level experimentation
For the past 15 years, we have spent almost all our time building what practitioners need, and very little time on our marketing. As the broader market went through successive waves of consolidation, we chose to quietly chart our own path. Remaining independent meant we never had to get distracted by the technical debt of merging disparate codebases or forcing customer migrations. Instead, we’ve been able to focus entirely on building a reliable experimentation engine.
Today, we are launching a completely redesigned website. We aren’t just changing our colors; we are publishing our philosophy. We are finally ensuring that the outside of Conductrics matches the platform we’ve been quietly building for a decade and a half.
But this launch is about more than a new website. It is about advancing how intentional learning works in practice. For years, Conductrics has natively integrated qualitative surveys with quantitative testing to capture the “why.” Now, we are building on that foundation by sharing a product roadmap designed to support a truly customer-aligned experimentation program.
We are excited to announce two major advancements coming soon to the platform:
- Advanced customer segment analysis
It is no longer enough to know which variation won globally; you must be able to answer: Do different customers meaningfully respond differently to this experiment? Soon, Conductrics will include advanced reporting for Conditional Average Treatment Effects (CATE). Powered by an HC3 robust partial f-test, our engine will allow you to analyze complex multivariate tests and pinpoint interaction effects across three or more options. To help clients uncover and interpret heterogeneous effects, Conductrics combines these robust statistical measures with data displays for visual discovery and interpretation. - Human-guided predictive customer targeting
Moving beyond reporting into automated action is where experimentation delivers the highest value. We are announcing the upcoming Conductrics Customer Segment Explorer – a new, interactive machine learning system that generates the optimal compound audiences based on your underlying business objectives. Our approach to AI is governed by the principles of Fast and Frugal Inference. We rely on a “less-is-more” effect: smaller, disciplined models often outperform complex ones by ignoring statistical noise. Because our models are streamlined, they avoid overfitting, reduce latency, and enforce strict data minimization – reducing the cost of gathering data and the risk of exposing private data. The result is a production-ready predictive targeting model that is highly accurate, incredibly fast, and fully interpretable by human operators.
The infrastructure for customer-aligned experimentation
The new Conductrics.com is a reflection of the platform we’ve spent 15 years refining. Explore the new site, review our approach. And when you decide you’d like to add the missing “why” to your experiments, reach out to us – our team is ready to help you.
