Everything you need to know before you start.

ObserviX is a marketing attribution and analytics platform that shows you which marketing channels actually drive revenue — not just clicks or impressions. It solves the core problem every marketing team faces: ad platforms inflate their own numbers, Google Analytics shows conversion counts but not revenue, and you end up making budget decisions based on incomplete or conflicting data. ObserviX connects every ad click, email open, and organic visit to real revenue so you can see what's working and stop funding what isn't.

Because each platform counts conversions using its own attribution window and takes full credit for any user who interacted with it — even when multiple platforms touched the same customer. A single purchase can show up as a conversion in Google Ads, Meta Ads, and GA4 simultaneously. ObserviX uses independent, first-party tracking that sits outside these ecosystems. One conversion gets counted once, and credit is distributed across the touchpoints that actually contributed based on the attribution model you choose.

Three differences that matter. First, ObserviX uses first-party tracking that captures 23% more conversions than third-party pixels — sessions that browser restrictions and ad blockers hide from GA4. Second, ObserviX connects attribution directly to actual revenue, not just conversion counts, so you see real ROAS per channel. Third, ObserviX gives you six attribution models including an AI-driven model that learns from your data — GA4 offers only data-driven attribution with limited transparency. Your data also stays on your infrastructure, not Google's.

GA4 and platform pixels tell you what happened. ObserviX tells you what it was worth. Platform pixels each claim credit for the same conversion. GA4 shows conversion counts but not how much revenue each channel generated relative to spend. ObserviX ties every touchpoint to actual dollars — so instead of seeing "Google drove 200 conversions," you see "Google drove $48K in revenue at a 3.2x ROAS, while Email drove $62K at 8.1x ROAS." That's the difference between reporting activity and making budget decisions.

Marketing teams, e-commerce brands, and agencies that spend money across multiple channels and need to know which ones actually generate revenue. Specifically: performance marketers managing Google, Meta, LinkedIn, and TikTok campaigns. E-commerce teams on Shopify or WooCommerce tracking ROAS across channels. B2B marketing teams connecting campaigns to pipeline and closed-won revenue in HubSpot or Salesforce. And agencies managing attribution and reporting across multiple client accounts.

Six models. First-touch assigns all credit to the channel that opened the door. Last-touch credits the final interaction before conversion. Linear splits credit equally across every touchpoint. Time-decay gives more weight to interactions closer to conversion. Position-based credits the first and last touches most heavily, splitting the remainder across the middle. AI-driven uses machine learning trained on your actual conversion patterns to assign credit dynamically. You can switch between models in one click and compare them side by side to see how each one values your channels differently.

It depends on your sales cycle and what question you're trying to answer. Short B2C purchase cycles often benefit from last-touch or time-decay. Longer B2B cycles where multiple channels nurture leads benefit from position-based or linear. If you have at least 30 days of conversion data, the AI-driven model adapts to your specific patterns without manual configuration. Most teams start by comparing two or three models side by side to understand how each one values their channels, then standardize on the model that best reflects their buyer journey.

The AI model analyzes your historical conversion data to identify which touchpoint patterns most frequently lead to revenue. It dynamically adjusts credit weights based on channel, timing, sequence, and conversion type. Unlike rule-based models where you define the formula, the AI model learns from what actually happens in your data. It requires at least 30 days of conversion data to produce reliable results and continuously updates as new conversions come in.

Single-touch attribution gives all credit to one interaction — either the first touchpoint (first-touch) or the last one before conversion (last-touch). It's simple but misleading because real customer journeys involve multiple interactions. Multi-touch attribution distributes credit across every touchpoint in the journey — ad click, email open, blog visit, retargeting ad — so you see which combination of channels drives results. ObserviX supports both, but most teams move to multi-touch once they see how much revenue gets hidden by single-touch models.

Yes. Select two or more models and see how they value each channel differently. This is the fastest way to understand which channels get over- or under-credited by simpler models like last-touch. Many teams use the comparison view to build internal support for switching from last-click to multi-touch — when leadership sees that Email generates 3x more attributed revenue under linear than under last-click, the conversation changes.

ObserviX ties each channel directly to revenue using first-party attribution data. See actual ROAS for Google Ads, Meta, Email, LinkedIn, Organic — every channel in your mix, side by side. Drill into any channel: spend versus revenue, cost per acquisition, conversion rate. Revenue attribution updates in real time. You act on today's data, not last month's report.

Yes. The budget optimization view shows exactly how much each channel contributes to revenue relative to spend. See which channels are over-invested — more dollars in, diminishing returns out. See which are under-invested — where a modest increase could unlock disproportionate revenue. Instead of reallocating based on last year's plan or a vendor's recommendation, you reallocate based on attributed revenue.

Yes. ObserviX generates executive-ready reports: total spend, total attributed revenue, blended ROAS, and revenue by channel — one page. Share with your CEO, CFO, or board via a single link. Schedule weekly or monthly delivery. Every number ties to actual conversions — not estimated models, not platform-reported metrics that double-count. When someone asks whether marketing is working, you answer in 30 seconds.

A lightweight JavaScript snippet added to your site header. It registers as a first-party script on your domain, sets a first-party cookie for visitor identification, and captures sessions, page views, UTM parameters, referral sources, and conversion events. Because it runs first-party, it avoids the browser restrictions and ad blockers that degrade third-party pixels from Meta, Google, and TikTok.

Third-party pixels (like the Meta Pixel or Google Ads tag) send data to external servers, use third-party cookies that browsers increasingly block, and are targeted by ad blockers. First-party tracking — like the ObserviX Pixel — runs on your domain, uses cookies set by your own site, and is treated by browsers as part of your website. The result: first-party tracking captures sessions that third-party pixels miss. On average, ObserviX captures 23% more conversions than third-party pixels alone.

Yes. The ObserviX Pixel uses first-party cookies to maintain visitor identity across sessions on the same browser. When a visitor authenticates — logs in, submits a form, or completes a purchase — on multiple devices, the pixel links those sessions to a single profile. This is deterministic matching, not probabilistic fingerprinting. Unauthenticated sessions on separate devices remain separate until a login or form event connects them.

The ObserviX Pixel operates as a first-party script on your domain. This architecture is unaffected by Safari ITP (Intelligent Tracking Prevention), Firefox ETP (Enhanced Tracking Protection), iOS App Tracking Transparency, and most ad blockers that specifically target third-party scripts. First-party cookies set on your domain have longer persistence than third-party cookies, which major browsers now cap at 7 days or block entirely. This is why ObserviX captures conversions that platform pixels miss.

When someone shares your URL in a private message, email, or Slack channel, that visit typically shows up as "Direct" in GA4 — hiding the real referral source. ObserviX reduces unattributed direct traffic by capturing UTM parameters at the session level, tracking referral headers where available, and maintaining persistent visitor identity across sessions. If a visitor clicked a LinkedIn ad last week and shares the link in Slack today, the original touchpoint stays connected to the conversion path.

The attribution window defines how far back ObserviX looks for touchpoints when crediting a conversion. Short windows (7 days) work for impulse purchases and short sales cycles. Longer windows (30-90 days) are necessary for B2B, high-consideration purchases, or products with long research phases. ObserviX lets you adjust the window per model. Most e-commerce teams start with 30 days. B2B teams with longer sales cycles typically use 60-90 days. You can change the window and immediately see how it affects credit distribution.

Page views, unique visitors, sessions, traffic sources (direct, organic, paid, social, email, referral), top pages, entry and exit pages, bounce rates, session duration, geographic location (country, region, city), device type, browser, operating system, screen resolution, UTM parameters, and referral domains. In cookieless mode, all of this is captured without placing cookies on the visitor's browser.

Yes. Dashboard data refreshes in under 3 seconds. Launch a campaign and watch traffic arrive immediately. Spot a drop and investigate before it costs you conversions. Attribution data also updates in real time — as soon as a conversion is recorded, the attribution model processes the visitor's touchpoint history and credits the relevant channels within seconds.

AI Chat lets you ask marketing performance questions in plain English instead of building reports manually. "Which channel had the best ROAS last month?" "How much did email contribute to revenue this quarter?" "What would happen if I shifted budget from Display to Organic?" You get instant answers with visualizations — pulled directly from your attribution data. No SQL. No report builder. Just a question and an answer.

Both. ObserviX provides ready-to-use dashboards for attribution, web analytics, customer journeys, and campaign performance — designed so you get value immediately without configuration. You can also build custom reports with the metrics, dimensions, and filters you need. Export to PDF, share via link, or schedule automated delivery to stakeholders on a weekly or monthly cadence.

Yes. Export your data at any time in standard formats. For teams running their own BI stack, ObserviX supports data export for integration with tools like Google Sheets, Looker, and custom data warehouses. Your data is yours — use it however you need to.

Most teams are up and running within 30 minutes. The ObserviX Pixel installs in under 5 minutes — one-click for WIX, WordPress, Weebly, GoDaddy, SquareSpace, a single script tag for other platforms. Once the pixel is live, data starts flowing immediately. Connecting ad platforms and CRM takes another 10-15 minutes using guided integrations. Attribution dashboards populate within hours of your first tracked conversions.

For standard platforms — WIX, WordPress, Weebly, GoDaddy, SquareSpace — no developer is required. The setup wizard walks you through each step. For custom-built websites, a developer adds one JavaScript snippet to your site header. Total technical involvement: under 5 minutes. If you need help, our onboarding team is available for a guided setup call within 48 hours of sign-up.

Basic traffic and conversion data appears within hours of installing the pixel. Rule-based attribution models (first-touch, last-touch, linear, time-decay, position-based) produce useful insights as soon as you have conversions flowing through the system — typically within the first week. The AI-driven model requires at least 30 days of conversion data to learn your patterns and produce reliable results. Most teams see actionable attribution insights within 2-4 weeks.

Yes. Most teams run ObserviX in parallel with their existing setup for 2-4 weeks to compare data before switching fully. The ObserviX Pixel operates independently and does not interfere with GA4, Meta Pixel, Google Ads tags, or any other tracking scripts. You'll typically see where ObserviX captures conversions your existing tools miss — that delta is what makes the comparison valuable.

ObserviX automatically categorizes organic traffic sources — Direct, Organic Search, Social, Referral — without manual tagging. For paid campaigns, UTM parameters help ObserviX identify the specific campaign, ad group, and creative behind each visit. If you're already using UTMs in your ad platforms, ObserviX captures and parses them automatically. If you're not, our setup guide covers UTM best practices — and the AI Chat can help you audit your tagging once data starts flowing.

Yes. 14-day free trial with full feature access — no credit card required. You get the complete platform: all six attribution models, web analytics, customer journey mapping, AI Chat, and every integration. If the trial ends and you haven't chosen a plan, your account pauses. No surprise charges.

Pricing is based on your monthly tracked sessions — not your ad spend, GMV, or revenue. This means your cost stays predictable as your campaigns scale. You won't get a surprise bill because your Black Friday traffic spiked. Plans are tiered by feature access and session volume, with options for self-serve teams and enterprise organizations. Visit our pricing page for current plans and thresholds.

No. Monthly plans are month-to-month — cancel anytime from your account settings. Annual plans are available at a discounted rate but are entirely optional. If you cancel, your account stays active through the end of your billing period, and your data remains available for export for 30 days.

We notify you before you hit your limit so there are no surprises. If you consistently exceed your plan's session volume, we'll recommend upgrading to the next tier. We don't cut off tracking mid-month — your data keeps flowing. No overage fees that spike your bill without warning.

If you're spending $5K or more per month across two or more ad platforms and making budget decisions based on platform-reported numbers, an attribution tool will likely pay for itself within the first month. The most common scenario: a team discovers they're over-investing in one channel (because the platform inflates its own numbers) and under-investing in another that generates higher ROAS. One budget reallocation based on accurate attribution data typically exceeds the annual cost of the tool.

Your data remains accessible for export for 30 days after cancellation. Download your attribution reports, web analytics data, and customer journey data in standard formats. After 30 days, data is permanently deleted from our systems. There is no vendor lock-in — we don't hold your data hostage to keep you subscribed.