Oculy offers businesses and agencies something more specific than a dashboard of visits: a list of opportunities for improvement, ranked by their estimated economic impact, with recommended actions and subsequent tracking.
Adaptive Technology described that approach in a product case published on September 14, 2026. The platform combines web analytics, an artificial intelligence assistant and tools for managing several properties. Its current commercial offer starts at €39 a month excluding VAT for one website and extends to plans for client portfolios, including reports presented under an agency's brand.
The relationship between these two parts explains the product. Oculy wants analysis of a page to lead to specific work that can be explained to a client. Its documentation organizes the process around identifying opportunities, estimating their value and reviewing what happened after changes. The plans turn that activity into a subscription that grows with the number of websites being managed and the functions required to serve those accounts.
From visits to opportunities for improvement
The September case identifies several problems the tool is intended to flag: falling conversion, campaigns consuming budget without producing the intended action, slow pages and abandonment during checkout. These problems arise at different points in the commercial journey. An issue can begin with acquisition, sit on a landing page or emerge at a later stage of a transaction, giving the team different places to investigate.
Oculy's proposition is to put them into one workflow. It first identifies an opportunity, then estimates its economic impact and recommends action. A subsequent stage compares the situation before and after changes. The company calls this sequence revenue recovery, positioning the product around a connection between navigation metrics and business priorities rather than ending the process when a report has been generated.
Two kinds of information sit within that sequence. The estimate of money at stake helps rank opportunities before action; the subsequent review uses what happened after the intervention. The dashboard presents both as parts of its tracking process. That distinction explains the service an agency is buying: help deciding which work to prioritize and a way to describe the evolution observed after the work has been done.
The product page also adapts its dashboard to the type of website. It distinguishes stores, businesses and media, and says it reorganizes metrics, language and questions for the AI according to the objective. A shop can work with revenue and products, while a corporate site can focus on contacts. The same product therefore addresses several uses of analytics without requiring every property to pursue the same conversion.
AI proposes a setup and the website's manager reviews it
Account setup is another part of the proposition. Oculy says its AI studies the website and proposes what to measure, including conversions, the funnel and alerts. Its explanation includes a review by the user before accepting those suggestions. The person responsible for the site retains a decision about the objective that will be used to interpret activity and assess the next changes.
The automatic events advertised include form submissions and clicks on telephone numbers or WhatsApp links. Users can create goals and relate them to pages and traffic sources. These are specific actions for businesses receiving enquiries through their websites, alongside the sales-oriented use shown in the product's presentation for online shops. Both become ways of describing what a visit does after it arrives.
Visual funnels place those actions into a sequence. Instead of reading each event separately, the user can examine the step at which navigation stops. Saved segments, such as a country, a device or a campaign, can be reused across the dashboard. The combination allows a team to examine the same problem with a consistently defined group of visits and carry that selection into its analysis.
The platform also offers comparisons between periods and annotations for milestones, such as campaigns or launches, on its charts. The commercial calendar becomes part of reading the series. For an agency working on several sites, those annotations connect conversations with clients to the dates when a page actually changed or an activity began, preserving a reference for subsequent reviews of the account.
An analyst that converses in six languages
Oculy's assistant is presented as a way to ask about data using everyday language. Suggested questions include what happened during the week, which campaigns are working best and which pages should be optimized first. Its promised response combines a diagnosis with next steps, offering an interpretation intended to help the person decide what to do rather than requiring another table to be understood from scratch.
The analyst's dedicated page describes comparisons across sources, pages, devices and funnels. It also shows controls for opening a funnel, creating an alert and generating a report. The conversation connects with the dashboard's tracking tools, providing a route from a user's question to the next task. The interpretation and the means of following up appear within the same working environment.
The service advertises six languages: Spanish, Catalan, English, French, Italian and German. Its stated coverage includes assistant responses, reports and alerts, as well as the interface. This matters to the agency proposition because interpretation also becomes part of the document shown to a client, rather than remaining only on the screen used by the team carrying out the analysis and making changes.
Adaptive identifies Next.js as the technology for the multilingual product website explaining Oculy. Its September case shows that site on desktop and mobile, alongside the dashboard and its workflow. This describes the commercial presentation of the service. The measurement and analysis functions are documented separately on product and privacy pages, which set out the activities the platform offers to website owners and agency teams.
Traffic sources, search and page performance
Oculy has a section dedicated to visits attributed to assistants including ChatGPT, Claude, Gemini, Perplexity and Copilot. Its offer is to separate these sources and examine which pages they lead to and how they relate to configured conversions. This adds another acquisition source to the comparisons of origins that matter to a website manager assessing where visits and contacts come from.
The technical policy identifies the referring host and campaign UTM parameters among the data collected. Tagged links preserve campaign identification within the analysis. In the commercial proposition, that origin accompanies the page and the action recorded, allowing a team to examine the path associated with a contact or a sale. The source becomes part of the account of the visit, alongside what happened on the website.
An optional Google Search Console connection brings search data into the workspace. The company describes it as read-only authorization and says the access credentials used to display the information are encrypted. Its product page connects this feature with finding SEO opportunities, alongside checking whether the brand appears in AI answers. The search information is available as a separate input to the site's analysis.
Technical performance supplies another layer. Oculy includes Core Web Vitals metrics and advertises monitoring of speed and broken pages. Observations about behavior can consequently be examined alongside the loading experience. The product brings acquisition, navigation and the operation of the website into the same commercial analysis, allowing a problem with a journey to be considered together with the conditions in which a page was used.
What the pixel measures and how sessions are reconstructed
The privacy policy gives a more specific account of the data behind the dashboard. It says the pixel records the page path and title, source, device and approximate location. It also records scroll percentage, active time, clicks and the fact that a form was submitted. The document distinguishes those events from the contents of fields into which a visitor has entered information.
To group visits, the company describes a hash calculated using a secret daily salt, the site identifier, IP address and browser user-agent. It says neither the IP nor the user-agent is stored and that the salt changes each day. The resulting grouping is limited to that website and day, rather than retaining an identifier for the same person across different sites and dates.
Sessions are reconstructed on the servers using 30-minute inactivity windows. This is the operational unit Oculy uses to organize a journey. Its design follows steps within that grouping, while the daily rotation limits how continuity can be interpreted across time. The method defines what a session means in the product and the boundary of the journey represented by its events and pages.
Behavior features include heat maps and session replay, enabled by site. The policy says replay collects the page structure with mandatory masking of input fields. For heat maps, the background image comes from a capture of the public page generated by Oculy's own servers. Both are explained separately from the text entered by visitors, giving a specific account of how those visual tools are produced.
The company declares European Union hosting and the use of aggregated data in AI functions. Its policy separately identifies an external model provider based in the United States. Commercial accounts use names, emails and billing data. The cookieless measurement offer concerns the analytics pixel; Oculy's own website and dashboard acknowledge necessary and functional cookies. These are different parts of the service described in its documents.
Four plans make websites the unit of pricing
The prices published when the offer was consulted in October distinguish four main plans. Starter costs €39 a month excluding VAT and includes one website. Grow rises to €79 for three. Agency includes 10 for €179, while Scale covers 25 for €349. The commercial variable changing between these tiers is the portfolio of digital properties, alongside functions and the level of service provided to the account.
Monthly prices of the four main plans
Subscriptions include 1, 3, 10 and 25 websites respectively. Prices from the offer consulted October 18, 2026, excluding VAT.
€/month, excluding VAT
Tap or hover for details. All values are also available in the data table.
Collapse notes
Offer observed October 18, 2026, not a historical series or service-performance measure. Additional websites cost €15 in Grow, €12 in Agency and €9 in Scale. The analyst is subject to reasonable use; Enterprise is offered separately.
Explore the data table
| Category | Monthly subscription |
|---|---|
| Starter · 1 site | 39 €/month, excluding VAT |
| Grow · 3 sites | 79 €/month, excluding VAT |
| Agency · 10 sites | 179 €/month, excluding VAT |
| Scale · 25 sites | 349 €/month, excluding VAT |
The page says subscriptions are priced by digital properties rather than charging for each event or individual AI query. That structure coexists with reasonable use of the analyst. For very high volumes of events, sites or questions, Oculy offers to prepare a customized plan. Website numbers organize the public offer, while accounts with particular volume requirements are directed towards a commercial discussion about their needs.
The page gives an average price per included site of €39 for Starter, €26.33 for Grow, €17.90 for Agency and €13.96 for Scale. This comparison assumes use of the included capacity. Additional websites carry separate prices: €15 in Grow, €12 in Agency and €9 in Scale. Buying a plan and subsequently expanding the portfolio are therefore different parts of the offer.
Starter includes the Opportunities Feed, an analyst subject to reasonable use, alerts, real-time information and journey tracking, with one user. Grow adds multi-business functions, automatic reports and an initial white-label layer. The step addresses the move from running one property to organizing several brands or clients in the service, adding functions for managing and presenting work across those different accounts.
Agency adds full white-label branding, monthly reports by client, unlimited users, an API and premium integrations. Scale includes onboarding support, service-level agreements and greater AI capacity under reasonable use. Enterprise is advertised separately from €699 a month with customized terms. Assistant queries remain subject to reasonable use even though the main subscription structure is organized around the number of websites in the portfolio.
Agency work appears in the product and the invoice
Managing several websites has its own place in the commercial presentation. Oculy advertises a portfolio view with key data from the properties, permissions by person and site, and a single account and invoice. Teams can organize administration around the projects they manage, while higher plans add presentation under their own brand. The account structure consequently reflects the way an agency works across clients.
Monthly reports by client turn interpretation of metrics into a recurring delivery. An agency can bring detected opportunities and subsequent changes together in a format prepared for each account. The proposition connects optimization work with commercial communication: the dashboard used by the team and the report received by the client draw on the same tracking of activity on the website, with different audiences for that information.
Installation has several advertised routes. The integrations index lists a WordPress and WooCommerce plugin, a module for PrestaShop 1.7 and 8, a manual pixel and the @oculy.io/tracker package for JavaScript, React and Next. These routes cover shops and websites using different technologies. The choice concerns the environment in which the client needs to place measurement, extending the product beyond one type of site builder.
Users can also publish a read-only dashboard through a link without giving access to the administration account. That output sits alongside reports and white-label options. Analytics can be used internally to decide what to change and externally to share the evolution, with different permissions for people working on the website and those who need only to consult its figures or review a report.
Who's who and how to read the figures
Oculy is a product of Adaptive Technology, S.L., a company based in Barcelona. Its terms identify tax number B67623710 and its Barcelona commercial registration. Adaptive published the September 14 case about the approach and commercial website. That date belongs to the product document; the prices and functions described here come from the offer consulted in October, providing a separate view of how the service is sold.
The Opportunities Feed brings together suggested improvements; the AI analyst accepts questions about the data; funnels organize journey stages and UTM tags identify campaigns in links. Google Search Console is the optional search connection. White-label functions allow reports and parts of the service to be presented with the identity of the agency managing the account, connecting analysis with its client-facing work.
The chart shows monthly subscriptions excluding VAT for the websites included in each plan. An estimated economic opportunity and subsequent changes are different moments in Oculy's proposed workflow. Its commercial proposition keeps them in the same tracking process, from identifying a problem through to explaining what changed on the website and communicating that work to the person responsible for the account.
In this article
Marian Vasile
Marian Vasile is a MarTech and growth professional. His work spans product marketing, SEO, paid advertising and deep online tracking, including behavioral analytics and attribution.
