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 infrastructure protection that blocks malicious, masked, and unwanted bots. It exclusively permits legitimate traffic (e.g., search indexers) with a score under 5, drastically reducing sGTM request costs and protecting PPC budgets from Click Fraud.

DNS3

Inject Bot-Quality-Score to headers

Dynamic injection of the calculated Bot-Score directly into custom HTTP request headers at the edge level. Ensures native availability of this attribute within the sGTM container for seamless downstream export into the BigQuery event stream for advanced analytical deep dives.

DNS4

CDN

A global network of distributed edge servers ensuring lightning-fast loading of static assets (images, scripts, CSS). Offloads the origin server, slashes TTFB (Time to First Byte), and optimizes Core Web Vitals, directly boosting conversion rates and landing page quality scores.

DNS5

Inject user data to Headers

Include user data in request headers to maximize data warehouse utility. Automatically enrich server-side requests with precise first-party signals (geo, IP, device IDs) before they hit BigQuery.

DNSx

Example : Add DNS records, improove email deliverability (SPF&DKIM/DMARC), 

I0

Various tracking /pixel tags

Meta pixel, Multiple GA4 codes for comparison, Hotjar, etc....

Consent Mode V2

GDPR compliant cookie banner controlling your Ads.

I2

Server-Side engine implementation

Implementation of custom engine for server-side tracking, to built all features on top of it.

I3

Raw Data Warehouse

Private Raw user data/events warehouse with all consented and unconsented data.

I4

Setup to download tracking scripts from your custom domain URL

I5

RAW UTM Master Tracker

Capture raw UTM parameters into first-party cookies instantly upon user arrival. By mapping these values into a global server-side variable, we ensure complete marketing source history is streamed directly into BigQuery—preserving accurate first-click attribution even if the user converts days later.

I6

1.stPartyCookiePersistence

Bypass Safari's strict tracking limitations by extending critical marketing cookie lifespans from the restrictive 1–7 day window to a full 1-year duration. This ensures flawless long-term user journey mapping and accurate ROAS measurement for Apple devices

I7

Non-EU Cookie banner Hide

Hide banner and set cookies to GRANTED if user from outside EU

I8

AutomaticPII_hashing

Automatic Personal Identifiers Hashing (SHA-256 pre-flight)

I9

CrossDomainTracking

Cross-Domain Tracking (Server-side)

ConsentMode v2 Advanced

Consent Mode V2 Advanced Modeling to users even with consent not-granted

I11

GoogleSignals

Server-side Google Signals Integration

I12

MonitoringAlert

Automated Data Monitoring & Alerting

EV0

Creates a generate_lead when user hits "contact us form" succesfully, catch all UTM parameters including email and phone no. and device_id to match with future data from CRM.

EV1

GA4 +Standard events

We go beyond basic pageviews to track critical user intent actions. This includes full deployment of standard GA4 events: login, sign_up, search, add_to_wishlist, and add_to_favourite. Essential for deep audience segmentation and precise remarketing triggers.

EV2

EcommerceEvents

Ecommerce events only on sGTM.Events as add_to_cart, remove_from_cart, view_cart, begin_checkout, add_shipping_info, add_payment_info, purchase, refund + standard events item_id, item_name, price, quantity, currency, value.

EV3

Click events

Track outbound traffic (Social networks, Google drive folders, phone_call clicks, PDFs , etc

EV4

SessionDuration

Creates Events every X-minutes user spends on website

EV5

404 Detector

Creates Event every time a 404 page is displayed, or when submit form is not sent. Track referrerUrl with it too

EV6

EventDeduplication

Event deduplication to prevent doubled conversions (client vs server)

PPC1

FB_pixel (w)/ FB_CAPI (s)

Meta Pixel / Meta Conversions API tracking all standard Facebook events

PPC2

GADS+EnhancedConversions+remarketing

Google Ads base +Enhanced Conversions, remarketing.

PPC3

PinterestCAPI

Pinterest server cAPI + their events

PPC4

Sklik pixel

Sklik tracking pixel

PPC5

LinkedInCAPI

LinkedIn cAPI + their events

PPC6

TikTokCAPI

TikTok Events API

PPC7

SnapchatCAPI

Snapchat CAPI

PPC8

XTwitterCAPI

X/Twitter CAPI

PPC9

Microsoft CAPI

BING, Yahoo CAPI

PPC10

AmazonCAPI

Amazon Server-to-Server CAPI

PPC11

PBB

Profit Based Bidding

DE1

EventEnrichment

Event enrichment (geolocation, device, user-agent, IP) using server to offload user client browser 

DE2

CustomEnrichment

Custom event mapping- Transforming and restructuring client-side web events into the precise schema required by specific downstream vendors (e.g., CRM, custom APIs, or specialized analytics tools).

DE3

BasketEnrichment

Enriching web conversion events with deep back-end data—including real-time profit margins, product categories, and stock availability—streamed directly into your data warehouse for advanced profitability modeling.

DE4

ProfitabilityEnrichment

Injecting real-time net profit margin data into product-level events. This replaces gross revenue tracking with actual profitability metrics, enabling advanced business intelligence reporting and value-based bidding in ad networks.

DE5

Content Consumption Analytics-DeepTracking

Deep tracking that measures actual active reading time, scroll velocity, and real-time content engagement. This replaces shallow pageviews with true attention-based metrics for advanced audience segmentation.

DE6

BotTrafficDetection

Programmatically detecting and blocking bots, crawlers, and non-human traffic at the server level before it pollutes your analytics and marketing dashboards. This ensures 100% clean data for precise algorithmic optimization and fraud-free conversion reporting.

DE7

ClickFraudDetection

Real-time monitoring and detection of fraudulent ad clicks, bot networks, and malicious traffic patterns at the server level. By isolating invalid clicks instantly, we provide the data evidence needed to protect ad spend, request refunds from ad networks, and safeguard your optimization budgets.

DE8

SessionQuality

Scoring user visits (0–100) based on real-time behavioral signals to instantly trigger premium remarketing audiences and feed high-value data to ad algorithms.  

CRM1

CRMLead-Add UTM parameters

Inject UTM parameters in LEAD form + recorduser email+phone from form and insert into variable

CRM2

OfflineConversions Tracking

Streaming final offline actions (e.g., closed phone sales, signed contracts) from your CRM back to Google/Meta. This closes the attribution loop and trains ad algorithms on actual closed deals instead of just raw web leads.

CRM3

CustomerMatchAPI

Automating the direct sync of hashed customer email and phone lists from your CRM directly into Google Ads and Meta. This ensures 100% up-to-date custom audiences for precise exclusion or high-value lookalike targeting.

CRM4

Newsletter+AddressBook remarketing

Import customer PII to bigqueery for remarketing

CRM5

LeadFunnel

CRM Milestone Ingest (Qualified Lead → Deal)

CRM6

WebhookEndpoint

Webhook ingest endpoint (CRM, forms)

CRM7

CancellationFilter

Feeding real-time cancellation and product return data from your ERP/Odoo directly into marketing platforms. This automatically reverses inflated conversions, forcing ad algorithms to optimize for net profit instead of canceled 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

Identity stitching (cookie + user_id + email)

UI3

CrossDeviceStitching

Cross-Device Identity Stitching

UI4

1.stCookieStorage

First-party data storage (own client DB )

O1

LeadScoring

Automatically scoring dynamic leads based on acquisition source (PPC, organic, direct) and deep on-site behavior. This filters high-intent prospects instantly, prioritizing sales pipeline focus and optimizing conversion algorithms.

O2

MicroConversions

Assigning dynamic weights to non-purchase steps (e.g., cart adds, PDF downloads, pricing views) based on their actual correlation to final sales. This creates a balanced predictive dataset to feed and optimize ad algorithms ahead of the macro-conversion.

O3

POAS

Shifting Google and Meta ad algorithms from optimizing for gross revenue (ROAS) to real net profit (POAS). By streaming exact margin data per transaction via sGTM, ad platforms auto-bid higher on high-margin products and suppress low-margin ad spend.

O4

LTVScoring

Using historical behavioral data and machine learning to calculate a customer’s lifetime value (LTV) at the moment of their first purchase. This triggers high-value conversion signals to Google/Meta, forcing algorithms to hunt exclusively for whale buyers. .

O5

ChurnDetection

Identifying high-risk customers likely to stop buying by analyzing behavioral patterns, drop-offs in engagement, and purchasing intervals. This pushes automated exclusion or retention triggers directly into your CRM and Meta/Google custom audiences.

O6

ValueTracking_LTV

Grouping customers into behavioral cohorts to track retention and long-term value over time. High-LTV segments are automatically exported directly into ad platforms as premium seed lists for hyper-targeted lookalike expansion.

O7

AttributionModel

Attribution model (first / last / data-driven)

O8

MultiTouchModeling

Breaking down complex multi-channel customer journeys to distribute exact conversion credit across all touchpoints (first click, middle assists, last click). This replaces single-source bias with data-driven clarity, revealing the true incremental ROI of your ad spend.

O9

ChannelPerformanceNormalization

Standardizing fragmented metrics across diverse ad networks (e.g., aligning unique attribution windows and definitions of Meta vs. Google). This normalizes data into a unified schema, enabling objective, apples-to-apples performance comparisons.

O10

ABTesting

Tracking experiment variations directly from the server container instead of the client browser. This eliminates client-side layout shifts (FOUC) and JavaScript lag, ensuring 100% accurate conversion attribution without destroying web performance or Core Web Vitals.

O11

CostData

PPC costs data Import (to calculate ROI/ROAS in one system)

O12

FrequencyCaping

Advanced Frequency Capping (Server-side) - How often user will see the same Ad

F1

DeveloperTrafficExclude

Anyone who visited url with dev=1 PERMANENTLY mark his traffic as DEVELOPER ON ALL DEVICES he is isgned on

F2

AI on Data - mix features

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

F3

ROAS

Ad algorithms natively optimize for gross revenue, ignoring whether a product has a 5% or 50% profit margin. By injecting real net profit data via sGTM, you shift focus to maximizing actual bottom-line revenue for every euro invested.

F4

tROAS

Setting a strict return-on-ad-spend efficiency baseline (e.g., 500%) to guide ad networks. The system automatically maintains this macro-conversion efficiency ratio across campaigns while scaling overall conversion volume.

F5

Maximize Conversion Value

The ad algorithm focuses entirely on exhausting the full daily budget to capture the highest possible total order value (gross revenue), aggressively bidding on high-ticket sales regardless of the underlying profit margins.

F6

Gross Profit Injection

Querying product cost goods sold (COGS) from Firestore instantly via sGTM during checkout to deduct it from the retail price. Sending this true net profit as the "Value" directly to Google Ads forces the algorithm to auto-optimize for real bottom-line profit instead of gross revenue.

F7

POAS

Sending true net profit (Retail Price - COGS - Shipping - Packaging) to ad networks via sGTM. This shifts the algorithm away from vanity gross revenue, training it exclusively to hunt for high-margin, genuinely profitable customers.

F8

Account-Based Identification (B2B Identity)

Using sGTM to map IPs to corporate entities via APIs (Clearbit/6sense). If a visitor from a tier-1 firm lands on site, sGTM instantly spikes the "Lead Score," forcing ad algorithms to aggressively target that high-value account even from a basic page view.

F9

Multi-Touch Intent Scoring (Micro-Moment Identity)

Storing Client_ID, User_ID, and cross-channel interaction histories in Firestore via sGTM. When a dormant user triggers a surge in activity—visiting 3 times within 48 hours after a 3-month gap—sGTM fires a high-intent event to Google Ads, forcing aggressive remarketing to close the deal.

Stock Availability Sync

sGTM matches product IDs with live stock data. If an item sells out, it suppresses conversion value signals, forcing PPC algorithms to instantly cut ad spend on unavailable inventory.

Multi-Region sGTM Deployment

PII Stripping

sGTM Health Alerts