Arrive & Return
Which sources and paths turn an arrival into a reader?
Volume and value run in opposite directions. Search delivers nearly half the audience at the lowest return rate; newsletter delivers the least traffic and the best relationship.
Search visitors
24.6M
19.4% return within 30 days
Direct visitors
8.9M
58.2% return within 30 days
Newsletter referral
2.1M
62.7% return within 30 days
Site recirculation
21.6%
of article views lead to another read
Who comes back
Which sections turn a first visit into a returning reader?
Family & Parenting converts 58.4% of its visitors into returning ones; Tech & Science manages 16.3%. The gap between them is larger than the gap in reading time, which makes return the sharper measure of relationship.
Order by
- Definition
- Returning share is Parse.ly returning visitors divided by section visitors for the period. New share is the remainder.
- Base
- newsweek.com sections, 31 Jul 2025 to 31 Jul 2026
- Limitation
- Parse.ly supplies no sequential session paths in this export, so entry, second action and return cannot be reconstructed as a flow. Sections overlap and never sum to a site total.
Show the underlying values
| Section | Visitors | New | Returning |
|---|---|---|---|
| Family & Parenting | 13.6M | 41.6% | 58.4% |
| Pets | 10.8M | 42.2% | 57.8% |
| Life | 17.3M | 43.2% | 56.8% |
| Business | 3.2M | 46.8% | 53.2% |
| Personal Finance | 3.6M | 47.7% | 52.3% |
| Education | 1.2M | 49.1% | 50.9% |
| Travel | 5.4M | 49.8% | 50.2% |
| U.S. | 67.2M | 55.6% | 44.4% |
| Politics | 54.2M | 55.7% | 44.3% |
| Technology | 0.0M | 56% | 44% |
| Health | 4.8M | 57.8% | 42.2% |
| Sports | 9.7M | 59.3% | 40.7% |
| World | 20.3M | 59.7% | 40.3% |
| Entertainment | 10.4M | 60.1% | 39.9% |
| News | 165.5M | 64.4% | 35.6% |
| Culture | 2.9M | 79.3% | 20.7% |
| Tech & Science | 0.7M | 83.7% | 16.3% |
Source Quality Quadrant
Which acquisition sources produce readers rather than sessions?
| Source | Visitors | Pages / visit | Engaged time | 30-day return | Scale vs. return |
|---|---|---|---|---|---|
| Search | 24.6M | 1.4 | 68s | 19.4% | |
| Direct | 8.9M | 2.9 | 121s | 58.2% | |
| Social | 9.4M | 1.2 | 44s | 11.6% | |
| News aggregators | 6.1M | 1.3 | 57s | 16.8% | |
| Newsletter referral | 2.1M | 2.4 | 134s | 62.7% | |
| Other external | 1.6M | 1.5 | 61s | 14.2% |
A reach-led acquisition strategy dilutes the audience it grows. Reporting acquisition against returning-visitor yield rather than sessions would change where budget goes.
Definition. Return within 30 days is the share of a source's visitors who come back to Newsweek in the following 30 days.
Reader Journey Explorer
Where do readers arrive, what do they read first, and do they read again?
Entry source → first read
Largest single flow: search into Politics, 9.8M visitors.
First read → second read
3.4M continued · 15.1M left
1.6M continued · 3.5M left
1.9M continued · 7.3M left
1.6M continued · 4.3M left
1.3M continued · 3.1M left
0.8M continued · 2.9M left
A Health entry is more than twice as likely to produce a second read as a Politics entry. The site acquires most heavily on the topic least likely to continue.
Definition. Flows show entry source to first article topic, by visitors. The second panel shows what share of each entry topic leads to a second read.
Methodology. Entry referrer only. Multi-session paths require GA4 and are held for phase two.
Audience Relationship Ladder
What does each step from first visit to loyal reader actually look like?
First-time visitor
Search · Politics · 51s
21% step up
Casual reader
Search · U.S. News · 58s
28% step up
Returning reader
Direct · World · 79s
34% step up
Engaged reader
Direct · Health · 138s
41% step up
Highly engaged reader
Newsletter referral · Health · 176s
49% step up
Loyal reader
Direct · Politics · 194s
Every step up the ladder shifts the top source from search toward direct and email, and the top topic from politics toward health. The relationship is built on a different diet from the one that acquires it.
Definition. Stages use the canonical behavioural segment definitions. Share is the percentage of monthly visitors at that stage.
Methodology. Movement between stages is inferred from monthly cohorts, not tracked at the individual level. Treat the step rates as directional.
GA4 — held for phase two
What would GA4 add, and what must be validated before it can be trusted?
What GA4 adds that Parse.ly does not
- Campaign and UTM attribution across the whole session path, not just entry referrer.
- Conversion and registration events, which Parse.ly does not observe at all.
- Retention cohorts and cross-session journeys spanning more than one visit.
- Landing page performance tied to campaign spend.
Where GA4 and Parse.ly disagree
Users vs. visitors
GA4: Counts consented users with a GA4 client ID.
Parse.ly: Counts visitors from the Parse.ly tracker with its own de-duplication.
Show side by side. Never sum, never average.
Sessions
GA4: 30-minute inactivity timeout, resets on campaign change.
Parse.ly: Visit definition based on continuous engaged activity.
Expect GA4 sessions to run higher on campaign-heavy days.
Engagement
GA4: Engaged sessions: 10s+, a key event, or 2+ pageviews.
Parse.ly: Engaged time measured in seconds of active attention.
Parse.ly is authoritative for attention depth.
Attribution
GA4: Data-driven attribution across the full session path.
Parse.ly: Referrer at entry only.
GA4 is authoritative for campaign credit.
Validation required first
Registration event naming
Not validatedConfirm a single canonical event fires on account creation across web and app, with no duplicate legacy names.
Subscription conversion events
Not validatedConfirm purchase or subscribe events fire server-side and are not blocked by consent tooling.
Campaign tagging discipline
Partially validatedAudit UTM conventions across newsletter, social and paid so channel grouping is trustworthy.
Consent mode configuration
Not validatedEstablish how much traffic is modelled rather than observed before any GA4 number is published internally.
User properties
Not validatedDetermine whether any property legitimately exposes subscriber status. Until then, no subscriber segment exists.
Structured and waiting — currently disabled
| Channel | Users | Wk4 retention | vs. Parse.ly |
|---|---|---|---|
| Organic search | 22.1M | 6.2% | -10% |
| Direct | 8.1M | 24.8% | -9% |
| Organic social | 8.6M | 3.4% | -9% |
| Referral | 6.9M | 7.1% | -11% |
| 1.9M | 31.6% | -10% | |
| Paid campaigns | 1.2M | 2.8% | -12% |
Recommendation: exclude GA4 from the first release. The consistent negative variance against Parse.ly is a definitional and consent artefact, not a measurement error, and publishing both without that explanation would undermine confidence in the whole product.
Methodology. GA4 is structured in the data model but disabled in this release. Nothing here should be summed with Parse.ly.