All our features

DNS1

Bot-Quality / User score

Advanced real-time bot-traffic probability scoring on a 0 (User) to 10 (Bot) scale. Analyze traffic using advanced fingerprinting, on-page behavioral patterns, IP intelligence, and HTTP request header analysis.

DNS2

Bad Bot ban

Proactive edge-level protection that blocks malicious and automated bot traffic before it hits your server. Permits only legitimate traffic (e.g., search engine indexers) and users with a score under 5—drastically reducing sGTM request costs and shielding PPC budgets from click fraud.  

DNS3

Inject Bot-Quality-Score to headers

Dynamic injection of the calculated Bot Score into custom HTTP request headers at the edge level. Ensures native availability inside your sGTM container for seamless streaming into BigQuery for deep event analysis.  

DNS4

CDN

A global network of distributed edge servers delivering lightning-fast static assets (images, scripts, CSS). Slashes TTFB (Time to First Byte), offloads origin servers, and boosts Core Web Vitals to directly improve PPC landing page quality scores.  

DNS5

Inject user data to Headers

Edge-level HTTP header enrichment with precise first-party signals (server geolocation, IP intelligence, device IDs) before requests hit sGTM and BigQuery—maximizing data warehouse accuracy. 

DNSx

Example : Tailored DNS records, email deliverability hardening (SPF, DKIM, DMARC), custom routing rules, and bespoke infrastructure tweaks available on request.  

I0

Multi-Platform Client & Server Tags

Native setup for Meta Pixel, multiple GA4 measurement IDs (for cross-client or testing comparisons), Hotjar, and third-party tracking scripts.

Consent Mode V2

GDPR-compliant cookie banner integration controlling Google Ads and Meta tags based on explicit user consent.

I2

Server-Side engine implementation

Deployment of a custom, enterprise-grade server-side tracking architecture designed as a foundation for advanced data enrichment.

I3

Raw Data Warehouse

Automated pipeline streaming both consented and unconsented raw user event data into a secure, private BigQuery repository.

I4

Route tracking scripts (gtm.js, analytics.js) through your own sub-domain URL to evade ad-blockers and Safari ITP restrictions.

I5

RAW UTM Master Tracker

Captures raw UTM parameters into first-party cookies instantly upon entry. Maps values into global server variables to preserve full marketing source history in BigQuery for accurate multi-touch attribution.  

I6

1.stPartyCookiePersistence

Bypasses Safari/iOS strict ITP limitations by extending critical marketing cookie lifespans from 1–7 days up to 365 days via HTTP response headers.  

I7

Non-EU Cookie banner Hide

Automatically hides cookie banners and defaults consent state to GRANTED for non-EU traffic based on edge-level IP geolocation.

I8

AutomaticPII_hashing

Automatically detects and hashes Personally Identifiable Information (emails, phone numbers) using SHA-256 in the client browser before network egress.

I9

CrossDomainTracking

Preserves user identity and session continuity across multiple brand domains entirely at the server level.

ConsentMode v2 Advanced

Sends unconsented, cookieless ping signals to Google servers to recover up to 70% of lost conversion data through behavioral modeling.

I11

GoogleSignals

Enables Google Signals data enrichment within a server-side environment for demographic insights and cross-device remarketing.

I12

MonitoringAlert

Real-time health monitoring of sGTM containers and BigQuery ingestion streams, with instant webhook alerts for tracking drops or schema errors.

EV0

Triggers a generate_lead event on successful form submission. Captures all UTM parameters, hashed contact info (email, phone number), and first-party device IDs to ensure seamless downstream CRM matching.

EV1

GA4 +Standard events

Tracks core user intent actions beyond basic pageviews. Full deployment of standard GA4 events: login, sign_up, search, add_to_wishlist, and add_to_favourite for audience segmentation and remarketing triggers.  

EV2

EcommerceEvents

End-to-end e-commerce funnel tracking processed exclusively via sGTM. Captures view_item, add_to_cart, remove_from_cart, view_cart, begin_checkout, add_shipping_info, add_payment_info, purchase, and refund with full item array parameters (item_id, item_name, price, quantity, currency, value).

EV3

Click events

Tracks user interactions with outbound links (social networks, external drives, mailto/tel links) and asset downloads (PDFs, documents).

EV4

SessionDuration

Fires periodic heartbeats every X minutes of active user engagement to measure true time-on-site and distinguish high-intent visitors.

EV5

404 Detector

Fires an error event whenever a user hits a 404 page or encounters a failed form submission. Captures the referrerUrl and form IDs to rapidly identify and fix broken user journeys.

EV6

EventDeduplication

Ensures 100% accurate conversion counting by attaching unique event IDs to client and server payloads, preventing duplicate conversions in Meta, Google Ads, and GA4.

PPC1

FB_pixel (w)/ FB_CAPI (s)

Hybrid client/server implementation for Meta. Tracks all standard Meta events via Browser Pixel and Server CAPI with automatic deduplication and Advanced Matching parameters.

PPC2

GADS+EnhancedConversions+remarketing

Server-side Google Ads conversion tagging paired with Enhanced Conversions (hashed PII) and dynamic remarketing parameters to optimize Smart Bidding algorithms.

PPC3

PinterestCAPI

Direct server-to-server integration for Pinterest Ads CAPI, passing custom event data and product parameters for enriched catalog targeting.

PPC4

Sklik pixel

Full integration for Sklik conversion tracking and RET (retargeting) tags, optimized for seamless execution within the Czech e-commerce market.

PPC5

LinkedInCAPI

Server-side LinkedIn CAPI pipeline to track high-value B2B conversion events and pass first-party user signals directly to LinkedIn Campaign Manager.

PPC6

TikTokCAPI

Server-to-server integration with TikTok Events API, ensuring accurate event capture and improved attribution match quality across mobile devices.

PPC7

SnapchatCAPI

Server-side Snapchat CAPI integration to deliver real-time web event payloads directly to Snapchat Ads Manager for lower CPA.

PPC8

XTwitterCAPI

Server-to-server event pipeline for X Ads, ensuring reliable event delivery and conversion measurement past browser tracking restrictions.

PPC9

Microsoft CAPI

Server-side integration for Microsoft Ads, firing UET events via server requests to maximize audience reach across Yahoo, Bing, and MSN networks.

PPC10

AmazonCAPI

Direct server-to-server integration sending real-time web interactions and conversions to the Amazon Attribution platform.

PPC11

PBB

Dynamic margin enrichment engine that calculates exact net profit per order on the server and feeds it directly into PPC bidding algorithms instead of raw revenue.

DE1

EventEnrichment

Automatically enriches web events with server-level metadata (precise IP geolocation, device specs, User-Agent parsing) to offload processing from the client browser.

DE2

CustomEnrichment

Transforms and restructures client-side web events into exact schemas required by downstream vendors, including CRMs, custom APIs, and proprietary analytics pipelines.  

DE3

BasketEnrichment

Injects deep backend data—such as real-time stock levels, warehouse availability, and product categories—directly into conversion payloads before streaming to BigQuery.  

DE4

ProfitabilityEnrichment

Attaches real-time net profit margins to product-level events. Replaces raw revenue metrics with actual gross profit to empower Value-Based Bidding (VBB) and advanced BI reporting.  

DE5

Content Consumption Analytics-DeepTracking

Measures true active reading time, scroll velocity, and real-time content interaction. Replaces surface-level pageviews with attention-based engagement metrics for high-intent audience segmentation.  

DE6

BotTrafficDetection

Detects and strips out automated crawlers, scrapers, and bot hits at the sGTM server level before they contaminate BigQuery event streams and marketing platforms.  

DE7

ClickFraudDetection

Identifies fraudulent ad clicks, proxy networks, and malicious traffic patterns in real-time. Isolates invalid clicks at the edge level to protect ad budgets and support invalid traffic refund claims.  

DE8

SessionQuality

Dynamically calculates a visit quality score (0–100) based on real-time behavioral signals, allowing instant push of high-value micro-audiences directly to ad network algorithms.

CRM1

CRMLead-Add UTM parameters

Automatically extracts UTM parameters along with lead email and phone numbers upon form submission, injecting them into global server variables for downstream CRM routing.

CRM2

OfflineConversions Tracking

Streams offline bottom-funnel events (closed deals, signed contracts) from your CRM back to Google Ads and Meta CAPI, closing the attribution loop and training algorithms on closed revenue.  

CRM3

CustomerMatchAPI

Continuous, hashed sync (SHA-256) of customer email and phone lists from your CRM directly into Google Ads and Meta for dynamic audience exclusions and high-value lookalikes.  

CRM4

Newsletter+AddressBook remarketing

Ingests and normalizes customer contact data and email subscriber lists directly into BigQuery for advanced LTV modeling and cross-channel remarketing segmentation.

CRM5

LeadFunnel

Real-time event ingestion tracking lead progress through every CRM milestone (e.g., Lead Created → MQL → SQL → Closed Deal) to optimize mid-funnel ad bidding.

CRM6

WebhookEndpoint

Dedicated server-side webhook endpoint to receive real-time HTTP payloads from external CRMs, ERPs, or custom form builders for instant data enrichment.

CRM7

CancellationFilter

Automated integration of real-time order cancellations and product returns from ERP/Odoo into your ad platforms, reversing false conversion data and training algorithms strictly on net revenue.  

UI1

sGTMCookieStorage

Bypassing browser-level ITP/Safari restrictions by routing identification cookies through your own server-side storage. This extends user cookie lifetime from 1–7 days to up to 1 year, ensuring flawless long-term marketing attribution.

UI2

IdentityStitching

Merges fragmented anonymous session cookies, hashed contact details (email/phone), and internal user_id values into a unified profile key to preserve continuity across the customer journey. 

UI3

CrossDeviceStitching

Connects user interactions across desktop, mobile browsers, and native apps by mapping authenticated first-party login IDs and server-side identifiers across different devices. 

UI4

1.stCookieStorage

Secure storage of first-party user keys, consent flags, and session attributes directly within your private client database, giving you 100% data ownership independent of third-party platforms.  

O1

LeadScoring

Dynamic scoring of incoming leads based on traffic source and on-site behavioral signals. Instantly qualifies high-intent prospects, prioritizing sales pipeline focus and feeding high-value lead events to ad algorithms.  

O2

MicroConversions

Description: Assigns weighted value scores to intermediate steps (cart adds, pricing views, PDF downloads) based on conversion probability. Creates predictive signal volume to train ad algorithms before the final sale occurs.  

O3

POAS

Shifts Google Ads and Meta algorithms from gross revenue (ROAS) to real net profit (POAS). Streams exact product-level margin data via sGTM, forcing ad networks to auto-bid on high-margin inventory.  

O4

LTVScoring

  Calculates predicted customer lifetime value at first transaction using historical cohort models. Sends high-value conversion signals back to Meta/Google to force algorithms to bid aggressively for high-LTV "whale" customers.

O5

ChurnDetection

Identifies churn-prone customers by analyzing drop-offs in purchasing frequency and site engagement. Automatically triggers automated retention flows or syncs exclusion lists to Meta and Google custom audiences.  

O6

ValueTracking_LTV

Groups customers into long-term value cohorts within BigQuery. High-LTV segments are automatically exported to ad platforms as seed lists for high-performing lookalike audience expansion.  

O7

AttributionModel

Replaces default single-touch rules with custom attribution logic (First Touch, Last Touch, Time Decay, or Data-Driven). Evaluates true channel contribution directly within your private BigQuery environment.

O8

MultiTouchModeling

Maps multi-channel customer journeys to distribute exact conversion credit across all touchpoints (first click, mid-funnel assists, last click), uncovering true incremental ROAS across all ad networks.  

O9

ChannelPerformanceNormalization

  Standardizes fragmented metrics across diverse ad networks by aligning disparate attribution windows (e.g., Meta 7-day click vs. Google Ads) into a unified, apples-to-apples performance reporting schema.

O10

ABTesting

Fires test variation IDs directly from sGTM instead of client-side scripts. Eliminates layout flickering (FOUC) and JavaScript performance penalties while ensuring 100% accurate variant attribution.  

O11

CostData

Daily ingestion and normalization of ad spend data from Meta, Google, TikTok, and Sklik directly into BigQuery, enabling unified ROI/ROAS calculation across all channels in a single view.

O12

FrequencyCaping

Tracks ad exposure frequency across platforms at the server edge to prevent ad fatigue, automatically suppressing remarketing impressions for over-exposed users.

F1

DeveloperTrafficExclude

Accessing any URL parameter (?dev=1) permanently flags the user and device as internal traffic, preventing developer and all his devices while testing from polluting analytics and PPC datasets.

F2

AI on Data - mix features

  Calculates purchase probability from historical user actions to dynamically scale up conversion values for high-intent visitors, forcing ad algorithms to bid aggressively on top prospects while suppressing spend on low-value traffic.

F3

ROAS

Bypasses default gross revenue optimization by injecting actual net profit metrics into conversion payloads via sGTM, training ad platforms to maximize bottom-line profit instead of top-line revenue.  

F4

tROAS

Establishes a strict return-on-ad-spend efficiency baseline (e.g., 500%) within server payloads, guiding ad network algorithms to maintain optimal target efficiency while scaling conversion volume.

F5

Maximize Conversion Value

Feeds enriched transaction data to automated bidding models designed to exhaust daily ad budgets on the highest possible total order value and high-ticket items.  

F6

Gross Profit Injection

Queries Product Cost of Goods Sold (COGS) directly from Firestore during sGTM checkout processing, automatically deducting cost from retail price and passing exact net profit as the primary conversion value to Google Ads.  

F7

POAS

Transmits true net profit (Retail Price - COGS - Shipping - Packaging) to ad networks via sGTM, training ad algorithms exclusively on high-margin, genuinely profitable customer acquisitions.  

F8

Account-Based Identification (B2B Identity)

Uses sGTM to map corporate IP addresses to enterprise entities via B2B intelligence APIs (e.g., Clearbit/6sense). Spikes lead scores for visitors from target firms to trigger high-priority remarketing.  

F9

Multi-Touch Intent Scoring (Micro-Moment Identity)

Stores cross-channel interaction histories in Firestore via sGTM. When a dormant user experiences an intent surge (e.g., 3 visits within 48 hours), sGTM fires a high-intent trigger to ad networks for aggressive closing remarketing.  

F10

Stock Availability Sync

Matches product IDs against live warehouse inventory via sGTM. Automatically suppresses or lowers conversion value signals for low-stock or sold-out items, preventing ad networks from wasting budget on unavailable inventory.  

Multi-Region sGTM Deployment

Multiregion deployment helps to minimize measurement latency. For user from USA a tracking server in USE will be used,  user from Europe will use tracking server based in EU.  

PII Stripping

Personal Informations stripping can prevent unathorized misuse of personal data if leaked.

sGTM Health Alerts

Even our infrastructure is configured to autoscale, sometimes it can get stuck or inaccessible, Alerts help us to prevent gaps in your data.

Looker Studio reports

To visualize all your data and KPIs to customized charts and views.

Make.com automations

We can link your CRM data with marketing data to one data warehouse and match sales activities with user interactions, and send relevant feedback to PPC algorithm.

Predictive LTV Modeling (Lead Quality Scoring)

Technics:If Large company with turnover 50mil. € creates small order, assign to the conversion in sGTM artificial value (Predicted Value) 5 000 €, even the order value was 100 €. 
Result : You teach the algorithm to find small orders from big players, not big orders from small players.