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Conversion Playbooks12 min readLinkrise TeamUpdated Aug 17, 2026

How to build a link-in-bio performance report people can use

Build a useful link-in-bio performance report from profile views, link clicks, CTR, traffic sources, countries, devices, QR visits, and exported Linkrise data without overstating attribution.

Start with the decision, not the export button

A link-in-bio report should help someone decide what to keep, change, test, or stop. Before collecting metrics, clearly write the question and the reporting period. A weekly operator review may ask whether the current primary link still matches the active campaign. A monthly client report may ask which sources and destinations deserve more attention. A launch review may compare one defined campaign window with an earlier baseline.

Avoid treating a dashboard screenshot as the report. Screenshots remove definitions, context, and caveats, and they are difficult to compare later. A complete report identifies the profile, selected period, time-zone convention, metric definitions, meaningful changes, unresolved measurement gaps, and owner of the next action.

Choose the shortest period that contains enough activity for the question. Today is useful for operational checks, not strategic conclusions. A seven- or thirty-day period can expose direction, while All time provides context but can hide recent change. Linkrise Free exposes Basic Analytics for Today and Last 3 days; Pro provides the longer windows through All time.

Use one compact scorecard

  1. Profile views: aggregate profile loads after bot filtering and write controls, not a count of unique people.
  2. Link clicks: aggregate outbound link actions; one profile view can lead to more than one click.
  3. CTR: total outbound link clicks divided by profile views for the same selected scope; it can exceed 100% and is not a unique-visitor conversion rate.
  4. Top links: the destinations receiving the most clicks in the selected period, including a stable fallback when a link was later deleted.
  5. Traffic sources: directional referrer categories such as Instagram, YouTube, Google, QR, another website, or Direct / Unknown—not visitor-level attribution.
  6. World Reach and Environment: country and coarse device distributions used for market and QA decisions, never city, raw IP, or fingerprint data.
  7. Contact intent and QR visits: bounded subsets that describe contact-link clicks and Linkrise QR arrivals, not confirmed conversations or offline identities.

Separate volume, distribution, and outcome

Volume metrics answer how much activity occurred: profile views and link clicks. Distribution metrics answer where the recorded activity was grouped: source, country, device, day, or link. Neither category proves a business outcome. A click to a booking page is not a completed appointment, and a mailto click is not a qualified inquiry.

If the destination system records purchases, bookings, leads, or subscriptions, show those outcomes in a separate section with its system of record and attribution definition. UTM parameters can help the destination group sessions, but Linkrise does not receive or reconcile every downstream event. Keep the handoff visible instead of combining unrelated totals into one conversion rate.

A practical report can therefore use three layers: Linkrise profile activity, external destination outcomes, and an explicit interpretation. The interpretation should explain why the figures are related, what cannot be known, and what evidence would change the decision.

Read traffic-source and country rows as directional evidence

Many social apps and privacy settings remove or reduce referrer information. Those visits appear as Direct / Unknown rather than being guessed. A source row with a high click ratio may represent a motivated audience, but it can also reflect a small sample or multiple clicks from the same visit. Put the visit and click counts beside the ratio so readers can judge the base.

Country data depends on a trusted edge country header and is stored only as a normalized country code. Missing or malformed data enters an unknown bucket. Use the distribution to decide which language, currency, proof, or mobile flow to inspect. Do not describe it as exact visitor location or infer nationality, identity, or intent.

Compare like with like. Use the same profile, period length, metric definition, and campaign state. Record major link-order, offer, or publishing changes next to the chart so a movement is not credited to the wrong cause.

Choose PDF, CSV, or Excel for the reader's job

A PDF is useful for a stable, shareable review. It preserves the selected period and report layout and works well for a client, collaborator, or archive. CSV is the smallest interoperable format for importing the long-form rows into another analysis workflow. Excel separates summary, trend, traffic source, country, device, and top-link tables so an operator can filter or add internal notes.

Linkrise exports the authenticated account's selected-period aggregate snapshot. It does not export raw visitor events, IP addresses, user-agent text, raw referrer URLs, or visitor-level rows. Exported creator-controlled labels are neutralized against spreadsheet formula execution, but recipients must still store reports according to their own access and retention policy.

Name the file with profile, period, and generated date. Store only the versions that support a real review, restrict access to the people who need it, and delete superseded copies according to your policy. More downloaded files do not create better analysis.

Run a repeatable review meeting

  1. Confirm the selected period, comparison period, profile state, and any publishing changes before reading the totals.
  2. Read views, clicks, and CTR together; never celebrate or diagnose a percentage without its numerator and denominator.
  3. Inspect the primary link first, then identify whether support links reinforce or distract from the current job of the page.
  4. Review source, country, device, QR, and contact-intent rows only where the sample is large enough to guide a practical test.
  5. Reconcile any external outcomes with the destination system and state its attribution window separately.
  6. Choose one or two changes, assign an owner, record the activation date, and define what evidence will be reviewed next.
  7. Keep a brief decision log so later reports explain why the profile changed rather than presenting charts without history.

What Linkrise reports currently cover

Linkrise Analytics uses aggregate daily metrics for the selected profile and period. The product can present totals, trend, top links, bounded traffic-source groups, country distribution, coarse device distribution, contact-intent clicks, and QR visits. Free accounts can read Today and Last 3 days. Pro accounts can select the longer periods through All time and use deeper reporting and campaign features according to the active plan policy.

The PDF, CSV, and Excel export formats use the same selected-period aggregate snapshot behind the authenticated Studio boundary. They are not raw event dumps. Linkrise does not promise unique-person tracking, exact cross-platform attribution, automatic GA4 synchronization, or confirmation of sales and bookings that happen on another service.

Use the report as an operating record: what the profile presented, what aggregate behavior was observed, what limitation applied, and what the team will change next. That discipline is more valuable than a longer spreadsheet with no decision attached.

Explore next

Next step

Turn analytics into a clear operating review

Use Linkrise Analytics and the selected-period PDF, CSV, or Excel export to review the profile with the people who maintain it.

Explore Linkrise Analytics