Analytics Dashboard

Where to find your analytics

Open your project, then click the Analytics tab in the top navigation. All metrics update in real time — there is no refresh button and no delay between a signup occurring and the numbers changing on screen.

Metric explanations

Total Signups

The cumulative count of everyone who has ever joined your waitlist since the project was created. This number only goes up — it does not subtract people who have unsubscribed or been removed. If you need a count of currently active participants, use the Waitlist tab, which reflects the live list after any deletions.

New Signups (Today / 7d / 30d)

The number of signups within a rolling time window ending right now. Today resets at midnight UTC. 7d and 30d are true rolling windows — 7 or 30 days back from the current moment, not a calendar week or month.

The trend chart below the summary numbers shows signups plotted over time. Hover over any point to see the exact count for that day. Use the time range selector (7d / 30d / All Time) to zoom in or out.

Referral Rate

The percentage of your total signups who arrived through someone else's referral link, rather than finding your waitlist directly. Formula: (referral signups ÷ total signups) × 100.

Benchmarks to orient yourself:

• Below 15% — Most of your growth is coming from direct promotion. Your referral incentive or the sharing experience may need work.
• 15–25% — Industry baseline for B2B products with referral mechanics enabled.
• Above 30% — Excellent. Your product's promise resonates enough that existing participants are actively sharing.

Viral Coefficient (K-factor)

The average number of new signups each referrer brings in. A K-factor of 1.0 means each referrer brings in exactly one new person on average. The significance:

• K < 1.0 — The list grows, but every net new signup still requires some outside input (ads, posts, press). Viral loops are helping but not self-sustaining.
• K = 1.0 — Each referrer replaces themselves exactly. The list holds at zero net external effort.
• K > 1.0 — The list grows on its own. Every external signup triggers a chain of additional signups. This is the goal for a viral waitlist launch.

Most early-stage waitlists run between 0.3 and 0.7. A K-factor above 1.0 is exceptional and typically only sustained for a short burst period.

Conversion Rate

The percentage of people who visited your waitlist page and completed the signup form. Formula: (signups ÷ page visits) × 100.

Typical ranges:

• Below 10% — The page has friction. Common causes: unclear headline, too many form fields, slow load time, or a mismatch between traffic source and page promise.
• 15–40% — Healthy range for a dedicated waitlist landing page with warm or targeted traffic.
• Above 40% — Outstanding. Usually seen when traffic is from a highly engaged audience (e.g., a personal newsletter or tight community).

Conversion rate is calculated only for your Spynra-hosted page. If you're using the embeddable widget on an external site, page view tracking depends on your site's setup.

Traffic Sources

A breakdown of where your signups came from, organized into five buckets:

• Direct — The person navigated directly to your URL, clicked a link with no UTM tracking, or came from an unknown source.
• Referral link — They clicked a unique referral link generated by another participant.
• Social — They came from a social media platform (detected via referrer header or UTM source parameter).
• Email — They clicked a link in an email (detected via UTM parameters or email client referrer).
• Organic search — They found your page through a search engine.

To get accurate Social and Email attribution, add UTM parameters to the links you share. Example:

Reading the signup trend chart

A few patterns worth watching for:

• Day-of-week rhythm — B2B products often spike Tuesday–Thursday and drop on weekends. Consumer products are the opposite. If you see a consistent weekly pattern, time your promotions to the peak days.
• Spike days — A sudden spike usually corresponds to a specific action (press mention, tweet, email blast). Hover over the spike to confirm the date, then cross-reference with your own activity log.
• Long-term slope — A flat or declining 30-day slope means organic word-of-mouth has slowed and you need to inject new traffic. A consistently rising slope means your referral loop is working.
• Decay after a spike — A sharp spike followed by rapid decay is normal after a one-time promotion. The floor after the spike — your new baseline — tells you how much permanent lift you got.

Exporting your data

Analytics data is view-only — there is no CSV export from the Analytics tab itself. To export your signups, go to the Waitlist tab and click Export CSV. The export includes each participant's email, join date, referral count, referrer, and position.

What to do with the data

Metrics without action are just numbers. Here's a practical guide to responding to what you see:

1. 1
   Conversion rate below 10%

   Your page is losing visitors before they sign up. Audit your headline (does it clearly state the benefit?), reduce form fields to email only, check page load speed, and make sure the traffic source matches the page promise. Run an A/B test on your headline copy first — it typically has the highest leverage.
2. 2
   Referral rate below 15%

   People aren't sharing. Check whether your referral link is prominently displayed on the post-signup confirmation page. Review your referral incentive — is the reward compelling enough to motivate sharing? Add a one-tap share button for Twitter/X and LinkedIn. Consider emailing your existing list with a direct ask to share their referral link.
3. 3
   Traffic is 90%+ Direct

   You have no visibility into where signups are actually coming from. Add UTM parameters to every link you share — in your newsletter, social posts, bio links, and press pitches. Once tagged, the Sources breakdown will tell you which channels are producing results and which you can stop investing in.
4. 4
   K-factor stuck below 0.3

   Each referrer is bringing in less than one new person on average. This usually means your reward isn't motivating enough, or participants don't understand they have a referral link. Revisit your confirmation email — does it clearly explain the reward, show the referral link, and include a pre-written share message? Lower the barrier to sharing as much as possible.
5. 5
   Trend slope is flat for 2+ weeks

   Organic momentum has stalled. You need a fresh injection of external traffic — a social post, a newsletter mention, a partner cross-promotion, or a press pitch. Don't assume referral loops will sustain growth indefinitely; plan periodic external pushes to restart the cycle.