First Touch (Page View)

This view shows you the first page every converting buyer visited, the URL that started their journey. Unlike Multi-Touch, each buyer appears exactly once here, attributed to their earliest recorded page_view before their conversion event.

How First Touch Is Determined

Each conversion event in Google Analytics carries a user ID. Google calls this user_pseudo_id. Every page view before that conversion carries the same ID. AttributeIQ scans all page views tied to that ID, finds the earliest timestamp before the conversion, and attributes the conversion to that page.

KPI Strip

Four headline numbers sit above the chart and table. They update immediately when you change date range, apply a filter, or activate comparison mode.

Conversions Over Time Chart

The line chart plots daily unique converters across the selected date range. Each point represents the number of buyers whose first-touch occurred on that day. Click any data point to instantly filter the table below to only the pages that drove first-touch journeys on that specific date, the point enlarges to confirm the selection, and a date pill appears in the toolbar. Clear it with the ✕ to return to the full period view.

When a comparison period is active (via the More menu), a second dashed line appears on the same chart, one solid line for the current period, one dashed for the previous. The tooltip shows both values side by side when you hover.

Use the Add Annotation button to mark campaign launches, pricing changes, or any other event directly on the chart. Hover over any annotation to see the note.

Role Filters

Below the chart, three tabs let you slice the page table by the nature of the buyer journeys that started there. The tab count updates the KPI strip and re-sorts the table in real time.

• All Pages: Shows every page that ever started a journey
• Deep Journeys: Pages where buyers visited 3+ pages before converting (high research intent)
• Single-Page: Pages where buyers converted on their first visit (immediate purchase intent)

Page Table

The main table lists every page that initiated at least one buyer journey in the selected period. By default, pages are sorted by Journey Starts descending, the page that started the most journeys is at the top.

Avg Depth is color-coded: teal for 2+ pages (research behavior), amber for 1.5-2.5 pages (mixed), red for under 1.5 pages. A page with red avg depth means buyers who start here convert quickly, high-intent traffic. A page with deep teal means buyers research extensively after arriving, good for awareness, bad for immediate ROI attribution.

Expanding a Row: Individual Journeys

Click any row to expand it and see the actual buyer journeys that started on that page.

The first page (your clicked row) is always highlighted with a teal circle in each journey timeline. Days to convert is calculated from first page view to conversion timestamp.

Date Range and Comparison Mode

The toolbar offers quick-select ranges: 2 days, 7 days, 28 days. The “More” menu adds 3, 6, 12 months, plus custom date ranges and comparison mode.

When comparison mode is active, the table gains additional columns showing previous period first touches, difference as a badge (↑ green for growth, ↓ red for decline), and change for depth and days to convert. This makes it immediately visible which pages are growing or shrinking in influence.

Filtering by Page URL

The Add Filter button lets you narrow the table and chart to pages matching a URL pattern.

Choose “URLs containing” for a partial match (e.g., /blog to see only blog posts) or “Exact URL” for a precise match. The filter applies to the KPI strip, chart, and table simultaneously. A teal pill shows the active filter with a ✕ to clear it.

Export

The Export button generates a multi-sheet Excel file. In Pages view, the export includes:

• Page Performance Summary: Every page with its first touch count, average depth, and average days to convert
• Detailed Journeys: Up to 1,000 individual buyer journeys, each showing conversion date, conversion event, days to convert, and the full page sequence in order
• Raw Data: Complete unfiltered dataset for custom analysis