Every tag, every fire, live.
Every fire and every failure captured as it happens, from real user browsers. Success rate, latency, HTTP status, and failure reason across every domain you monitor. Sorted by revenue at risk, not alphabet.
live dataWe watch every GA4, Meta, and 80+ vendor pixels in every real session. When one drops, you get a Slack alert in seconds for data-quality issues (within minutes for statistical anomalies), with the probable cause already attached. Yes, it’s really that simple. No, it doesn’t go through GTM (we’ll tell you why ↓).
14:32:08 fail GA4 Purchase /checkout 14:32:01 ok GA4 Page View /product/sku-4414:31:52 warn Meta Pixel ViewContent /product/sku-44 14:31:47 . Klaviyo Add To Cart /cart 14:31:31 ok Pinterest Tag /confirmation14:31:30 ok Google Ads Conversion /confirmation 14:31:28 ok LinkedIn Insight /confirmation14:31:14 fail GA4 Purchase /checkout 14:31:09 fail GA4 Purchase /checkout 14:30:52 ok GA4 Purchase /checkout
The Slack message went out at 14:31:11. Two seconds after the first failure.
A theme update. A plugin conflict. A new cookie banner. Suddenly GA4 Purchase stops firing on checkout. You notice three days later when the weekly report looks wrong. By then, attribution is gone, bid models are skewed, and the revenue is already out the door.
Three days. Eleven days. Thirty-one days. We’ve seen all of those. Nobody’s clicking refresh on the GA4 dashboard at 2 a.m. on a Tuesday. And GTM’s preview mode doesn’t alert you when a deploy ships broken.
TagDrishti instruments every real-user session. Tag fires, failures, HTTP status, latency, revenue value, consent state, all captured at the browser, not inferred by a crawler. 80+ vendors intercepted directly. When a ₹10 lakh purchase event fails on checkout at 2 a.m., your Slack lights up in seconds (statistical anomaly checks run on a 5-min cycle in parallel).
Not a scheduled crawl. Not a synthetic checkout. Real tag fires from real user browsers, with the failure reason, the HTTP status, and the revenue at risk attached. From $49/mo.
Every fire and every failure captured as it happens, from real user browsers. Success rate, latency, HTTP status, and failure reason across every domain you monitor. Sorted by revenue at risk, not alphabet.
live dataUp to 50 client domains from a single workspace. Switch clients in one click. White-label PDF reports in your agency brand, generated in 30 seconds. Clients assume you wrote them.
agency planServer-side Meta CAPI delivery with idempotent dedup. Shopify Admin REST, WooCommerce, Magento Admin REST integrations. Per-order audit endpoint joins delivery logs with BigQuery tag events. Catches the “Meta is showing fewer conversions than my store” question that wastes a Monday morning.
ecom reconciliationPer-tag thresholds you actually control. When GA4 Purchase starts failing on checkout at 2 a.m., the data-quality alert is on your phone in seconds; statistical anomaly checks (failure-rate spikes, consent drift) run on a 5-min cycle. Critical alerts bypass batching. No 3-day discovery cycle.
resend + slackRolling 7-day baselines per tag, adjusted for day-of-week and hour-of-day. Alerts fire when fire rate, success rate, or event completeness drifts. Flood guard stops alert storms from a single flapping tag.
ML-poweredEvery event streams live to your workspace BigQuery dataset. 135 columns per event, row-level tenant isolation, pre-built views for tag health, consent, CWV, revenue. Connect Looker Studio, Tableau, Power BI, or whatever your team already runs.
agency & enterpriseP75 LCP, INP, CLS, FCP, and TTFB per domain, attributed to the tag responsible. Hotjar adds 340 ms? You see it. Optimizely 400 ms? You see it. Then you decide what ships and what doesn’t.
P75 scoringA one-time paste into your site’s <head> by your developer. We deliberately do not load through GTM: when GTM gets blocked by ad-blockers, consent tools, or a bad container publish, you still need the monitor running. That’s the whole point of a separate observation layer.
developer install · not via GTMConsent Mode v2 verification per page. PII scrubbed from URLs before storage. Region-specific consent rates. Magecart / formjacking detection on payment pages with PCI DSS 6.4.3 evidence logged. When your DPO or auditor asks for the audit trail, it’s already built.
when you need itNo SDK install, no schema drafting, no kickoff call. One async script in your <head>, one developer ticket, and the first events land while you’re finishing your coffee.
One-click DPA at dashboard.tagdrishti.com. Account activates immediately. Your API key and tenant-specific script snippet are ready before your coffee is.
One async tag, in your site’s <head>, added by your developer. No GTM, on purpose: GTM gets blocked by ad-blockers, consent tools, and the occasional bad container publish. The monitor has to keep running when those things break.
<script src="https://cdn.tagdrishti.com/monitor.js"></script> <script> window.TAGDRISHTI_CONFIG = { tenantId: "td-your-id", apiKey: "td_live_xxxx" }; </script>
First events land in your dashboard seconds after the snippet goes live. Failures alert immediately. Your consent, PCI, and GDPR audit trail starts building with the first pageview.
Every product is shaped by what its makers refused to ship. Here are ours.
If your tag broke at 02:14 on a Tuesday and you find out from a 6 a.m. cron, you’ve already lost the night’s checkout data. We monitor real users, in real time. The check is the session, not a synthetic robot pretending to be one.
Loading the monitor through GTM is like asking the smoke alarm to install itself inside the candle. We deliberately ship a tag that goes in <head>, not GTM, so it survives the moment GTM is the thing that’s broken.
Most analytics tools ship a beautiful dashboard and hope you’ll visit it. We hope you never log in. The product is the alert that lands in Slack at 02:14:33, with the right cause, before the customer even refreshes the page.
The numbers we keep running into when we audit a real GTM container in the wild.
Every script that loads on your pages is fingerprinted and watched. Unknown domain on checkout, alert inside two seconds. Missing SRI hash on a payment page, logged against PCI DSS 6.4.3. Built for teams with real compliance liability, not marketing pages with a best-effort privacy notice.
14-day free trial on every plan. No credit card. Annual billing saves 20%. Cancel in one click.
For the freelancer, the consultant, the in-house lead running a single brand.
For performance agencies managing multiple clients. White-label PDFs, BigQuery export, PagerDuty + Jira hooks included.
For scaled teams with an SLA requirement, a DPO who asks hard questions, and 50+ sites to cover.
100+ sites, SSO, custom retention, on-premise? We will build the plan around your constraints, not the other way round.
Every plan: 14-day trial · no card · 20% off annual · cancel in one click
Same engine. Different surface. A two-pass browser scan of your live site under default and consent-denied conditions, detecting 155+ ad/analytics vendors, consent violations, PII leakage, and CSP/cross-domain attribution issues. Editorial PDF in your inbox in under two minutes.
80+ tag vendors auto-detected from real traffic. Alerts route to the channels you already check. Data exports to the warehouse you already pay for.
We had a tag stop firing on a Tuesday morning. Eleven days later, the agency caught it. Eleven days.
head of growth, mid-market D2C brand · the conversation that started this whole thing
gtag, fbq, ttq, and so on) inside real user browsers, records the HTTP status and latency per request, and attaches a revenue number to every failure. You see what actually happened to real users, not what a bot saw at 3 a.m. And we start at $49/mo versus their $249–$599.<head> of your site. A one-time install, ten lines or so, no follow-up tickets after that. It loads from our global CDN and starts capturing events on the next pageview. We deliberately do not load through GTM. That sounds like a small detail and it isn’t: if GTM gets blocked by an ad-blocker, fails on a consent mode change, or breaks on a container publish, TagDrishti keeps reporting. That separation is the whole point of having a monitoring layer at all.defer. Wire payload is ~31 KB brotli, served from Google Cloud Mumbai edge over HTTP/2. The network request is batched and issued after your own critical-path tags have fired. If a third-party script should worry you, it is rarely the monitor. It is usually the chat widget.Run the free 60-second audit, or start a 14-day trial and watch every tag fire in real time. No credit card. $49/mo after trial.