# Trakinit

> Trakinit connects every channel (ads, podcasts, email, TV, affiliates, AI search) to every sale on Amazon, Shopify, Walmart, in store and in app. Server-side, cookie-free attribution with a confidence score on every match.

Trakinit is web-based marketing attribution software. It recognizes 30 ad, email and affiliate click IDs and 70+ channels and sources, matches sales by click ID, hashed email or masked network with a confidence score on every match, and offers first-touch, last-touch and linear models. Every plan starts with a 14-day free trial with no credit card.

## Product
- [Home](https://trakinit.com/): what Trakinit does, coverage, pricing and FAQ
- [Pricing](https://trakinit.com/#pricing): Starter $299/mo, Growth $599/mo, Enterprise $1499/mo
- Launch sale through December 31, 2026: Starter $199/mo, Growth $399/mo, Enterprise $749/mo for the first 12 months
- [Start a free trial](https://trakinit.com/register)
- [Integrations](https://trakinit.com/integrations)
- [Help center](https://trakinit.com/help): setup, data sources, reports, roles, billing and privacy
- [System status](https://trakinit.com/status)

## Features
- [Attribution](https://trakinit.com/features/multi-touch-attribution): Credit every sale with last touch, first touch, linear, U-shaped or time decay, and switch models on any report to see how credit moves between channels.
- [Ask Trakinit](https://trakinit.com/features/ai-assistant): Plain-English questions like “which channel should get more budget?” answered from your own numbers, with the figures behind every answer. Powered by Claude.
- [Customers](https://trakinit.com/features/customer-lifetime-value): See which channels bring customers who come back. Customers are grouped by hashed email across every store, then credited to the first touch of their first purchase.
- [Budget planner](https://trakinit.com/features/budget-planner): Suggestions to move spend from channels returning less than they cost to your best performer, with an estimated revenue gain. You decide; nothing changes in your ad accounts.
- [Journeys](https://trakinit.com/features/customer-journeys): Open any sale to see the podcast, ad, email and search touches that came before it, oldest first, with how each one matched and how sure the match is.
- [Tracking](https://trakinit.com/features/server-side-tracking): One script tag on your domain records visits, UTMs and 30 ad, email and affiliate click IDs. Podcasts, TV, email and affiliates send touchpoints server-side by API.
- [Reports & API](https://trakinit.com/features/reports-and-api): Save any filtered view as a report for the team, export CSVs, get alerts in Slack and email, and pull attribution into BI tools with a read-only API.

## Solutions
- [For ecommerce brands](https://trakinit.com/solutions/ecommerce): Connect Shopify in one click and bring in Amazon, Walmart and marketplace orders by export, so paid social, creators and podcasts get credit wherever the sale lands.
- [For Amazon sellers](https://trakinit.com/solutions/amazon-sellers): Measure TikTok, Instagram, YouTube, podcasts and creators that drive Amazon orders, with Amazon Attribution tags recognized automatically and a confidence score on every match.
- [For omnichannel retail](https://trakinit.com/solutions/retail): Send POS sales with the receipt or loyalty email and see which emails, podcasts, events and local ads bring shoppers into stores.
- [For agencies](https://trakinit.com/solutions/agencies): Run each client in its own workspace with its own data, team and plan, switch in a click, and send clients reports they can read.
- [For apps & subscriptions](https://trakinit.com/solutions/apps-and-subscriptions): Post App Store, Google Play and Stripe subscription events from your backend and see which channels bring paying users, and what they’re worth over time.

## Blog
- [Affiliate Marketing Attribution: Impact, CJ, Awin and Beyond Last Click](https://trakinit.com/blog/affiliate-marketing-attribution): Capture each network's click ID from the landing URL (irclickid for Impact, cjevent for CJ, awc for Awin, sscid for ShareASale, ranSiteID for Rakuten, clickref for Partnerize, _ef_transaction_id for Everflow), match it to orders, and compare affiliate credit under first-touch and linear models to see whether affiliates start journeys or just finish them.
- [AI Search Traffic Attribution: Measuring Visits and Sales from ChatGPT, Perplexity and Gemini](https://trakinit.com/blog/ai-search-traffic-attribution-chatgpt-perplexity): AI assistants send visitors with recognizable referrers (chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com, claude.ai). Classify those referrers as their own AI channel, separate from search on the same domains, and match the visits to later orders like any other touchpoint.
- [Amazon Attribution for External Traffic: How to Measure Off-Amazon Ads](https://trakinit.com/blog/amazon-attribution-for-external-traffic): To attribute Amazon sales to off-Amazon marketing, tag external links with Amazon Attribution (the maas parameter) where you can, bring in Amazon order or Attribution exports, and match orders to earlier touchpoints by click ID or network within a lookback window. Amazon does not share buyer emails, so most matches are network-based estimates with a confidence score.
- [Attribution Lookback Window Explained: 7, 30 or 90 Days?](https://trakinit.com/blog/attribution-lookback-window-explained): A lookback window is how long before a sale a touchpoint can still earn credit. Choose roughly your typical time from first touch to purchase: 7 days for impulse purchases, 30 days for most consumer brands, and 90 days for considered or high-ticket purchases.
- [Click IDs Explained: gclid, fbclid, ttclid, msclkid and 25 More](https://trakinit.com/blog/click-ids-explained-gclid-fbclid-ttclid): A click ID is a unique value an ad or email platform appends to a landing URL (for example gclid for Google Ads, fbclid for Meta, ttclid for TikTok). When the same click ID appears on an order, the sale can be matched to that exact click with near-certain confidence.
- [Cookieless Attribution: How Server-Side Tracking Keeps Measurement Working](https://trakinit.com/blog/cookieless-attribution-server-side-tracking): Cookieless attribution replaces third-party cookies with first-party signals collected on your own domain and server: UTM tags and ad click IDs on the landing URL, hashed emails when a visitor identifies, and masked network and device signals, all matched to orders on the server.
- [CTV Attribution: How to Measure Streaming TV Ads That Drive Sales](https://trakinit.com/blog/ctv-streaming-tv-attribution): Measure CTV by sending each airing or impression window as a touchpoint, adding QR codes and vanity URLs for direct response, and matching later sales from the same household network inside a longer lookback window. Report CTV on first-touch and linear views, since it usually starts journeys rather than closing them.
- [Email and SMS Attribution: Measuring Klaviyo, Mailchimp and SMS Revenue](https://trakinit.com/blog/email-and-sms-attribution): Tag every email and SMS link with UTMs, let your tracking snippet read Klaviyo (_kx), Mailchimp (mc_eid, mc_cid) and HubSpot (_hsenc) IDs from the landing URL, and match the subscriber's hashed email to orders on every platform. Email-keyed matches are exact, including in-store purchases with a receipt email.
- [First Touch vs Last Touch vs Linear Attribution: Which Model Should You Use?](https://trakinit.com/blog/first-touch-vs-last-touch-vs-linear-attribution): Use last touch to see what closes sales, first touch to see what creates demand, and linear when several channels work together and you want each one credited fairly. The best practice is to compare all three on the same data rather than pick one forever.
- [Hashed Email Matching: Privacy-Safe Attribution Explained](https://trakinit.com/blog/hashed-email-matching-privacy-safe-attribution): Hashed email matching turns an email address into an irreversible SHA-256 fingerprint before it's sent or stored. The same email always produces the same hash, so a sign-up on your site can be matched to an order on Shopify or in store without storing the address itself. Hashing again with a server-side secret protects against lookup attacks.
- [How to Calculate ROAS: Attributed vs Blended Return on Ad Spend](https://trakinit.com/blog/roas-calculation-attributed-vs-blended): ROAS equals revenue divided by ad spend. Platform ROAS uses each ad platform's own conversions, which often overlap; attributed ROAS uses revenue credited to that channel by one consistent model across all stores; blended ROAS divides all revenue by all spend. Use attributed ROAS to compare channels and blended ROAS to sanity-check the total.
- [How to Choose Marketing Attribution Software: A Buyer's Checklist](https://trakinit.com/blog/how-to-choose-marketing-attribution-software): Choose attribution software that sees sales on every platform you sell on (not just your website), shows how each match was made and how confident it is, works without third-party cookies, supports several models, connects to your channels and stores, and can be set up in a day.
- [In-Store Attribution: Connecting Digital Marketing to Retail POS Sales](https://trakinit.com/blog/in-store-retail-pos-attribution): Attribute in-store sales by sending POS transactions (from Square or any register) with the loyalty or receipt email, hashing that email, and matching it to earlier digital touchpoints from the same customer. Email-keyed matches are exact; add network matching only where shoppers use store Wi-Fi.
- [Marketing Attribution for Agencies: Reporting Across Multiple Brands](https://trakinit.com/blog/marketing-attribution-for-agencies): Give each client brand its own workspace with its own data, plan and team, let agency staff belong to many workspaces with a role in each, and standardize UTMs and channel definitions across clients so reports compare like with like.
- [Podcast Advertising Attribution: How to Measure Podcast Ads That Drive Sales](https://trakinit.com/blog/podcast-advertising-attribution): Measure podcast ads by combining promo codes and vanity URLs (sent as touchpoints with a time and email or IP), post-purchase survey answers, and network matching against later sales. Treat promo-code redemptions as exact matches and network matches as estimates.
- [Shopify Marketing Attribution: Beyond Last-Click Reports](https://trakinit.com/blog/shopify-marketing-attribution): Shopify orders carry the customer email, browser IP and landing page, which makes them ideal for exact attribution. Connect Shopify so orders sync nightly, capture click IDs from the landing URL, hash the email, and match each order to every touchpoint before it with a multi-touch model.
- [TikTok to Amazon Attribution: Measuring TikTok Ads and Creators That Sell on Amazon](https://trakinit.com/blog/tiktok-to-amazon-sales-attribution): Send TikTok traffic through a tagged landing page or Amazon Attribution link, capture the ttclid and UTMs with a first-party snippet, then import Amazon orders and match them to TikTok touchpoints within your lookback window. Expect mostly network-based matches, since Amazon doesn't share buyer emails.
- [UTM Parameters Best Practices: A Naming Convention That Survives Every Channel](https://trakinit.com/blog/utm-parameters-best-practices): Use lowercase, hyphenated values; set utm_source to the platform (meta, google, podcast-name), utm_medium to the channel type (cpc, social, email, podcast, affiliate) and utm_campaign to one stable campaign name, and write the rules down so every team and agency tags the same way.
- [Walmart Marketplace Attribution: Measuring Off-Walmart Marketing](https://trakinit.com/blog/walmart-marketplace-attribution): Upload Walmart Marketplace order reports as CSV or post them to an API, send traffic through tagged landing pages on your own domain, and match orders to earlier touchpoints within your lookback window. Like Amazon, Walmart rarely shares buyer emails, so expect confidence-scored network matches.
- [What Is Multi-Channel Attribution? A Practical Guide for 2026](https://trakinit.com/blog/what-is-multi-channel-attribution): Multi-channel attribution is the practice of connecting a sale to every marketing touchpoint that came before it (ads, search, podcasts, email, TV) and splitting credit between them, so you can see which channels actually drive revenue instead of trusting each platform's own report.

## Optional
- [Full text for LLMs](https://trakinit.com/llms-full.txt): every FAQ answer, help article and blog post in one file
- [Structured summary (JSON)](https://trakinit.com/llms.json)
- [Sitemap](https://trakinit.com/sitemap.xml)