Read BrandJet Campaign Analytics: step-by-step screenshots
Follow the current BrandJet interface below. Each screenshot matches the numbered action directly beneath it.
Step 1: Open Campaigns, then Analytics, and confirm the dashboard has loaded.
Step 2: Select a fixed reporting preset before making comparisons.
Step 3: Read leads, sends, replies, positive replies, and opportunities together.
Step 4: Check connected accounts before interpreting campaign results.
Step 5: Compare active, paused, and draft campaign counts.
Step 6: Compare reply sentiment and channel rates in the same window.
Step 7: Read the funnel and check time to first reply and follow-up reply rate.
Step 8: Set a custom date range for the next performance review.
Read BrandJet campaign performance in nine steps
Outcome: Use BrandJet Campaign Analytics to identify where a campaign is weakening, compare campaign and sender performance, assess positive replies, and choose whether to pause, fix, or scale.
Prerequisites: Access to BrandJet Campaign Analytics and a campaign with enough activity to review.
Open BrandJet Campaign Analytics, then work through the steps below in order. Keep the same reporting window while comparing funnel, campaign, and sender performance so you do not diagnose different periods as if they were the same campaign state.
1. Choose the reporting window before reading any metric
Start with the date control in Campaign Analytics.
The authenticated BrandJet workflow includes date presets for changing the reporting period. Use the labels shown in your current workspace. Do not assume a preset name or range from an older screenshot.
Choose the window according to the decision you are making:
| Question | Comparison to use |
|---|---|
| Did a recent campaign change help? | Equivalent periods before and after the change |
| Is performance declining? | Recent period versus an equally long earlier period |
| Which sender is weaker? | Senders in the same campaign and same reporting window |
| Which campaign is stronger? | Comparable campaign periods with similar activity levels |
Avoid comparing three recent days with an entire previous month. The second period has had much more time to accumulate sends and replies.
Also check the campaign timezone when reading daily or hourly charts. BrandJet documents that campaign analytics use the campaign timezone for daily and hourly grouping. See campaign timezones and sending windows.
Decision rule: Do not diagnose the campaign until the reporting periods are comparable.
2. Read the campaign overview from top to bottom
Once the date window is set, use the campaign overview to locate the first part of the workflow that looks weak.
BrandJet's documented analytics workflow includes Overview, Sequence, Activity, Accounts, and Leads views. The Overview is the best starting point because it gives you the campaign-level picture before you investigate individual steps or events.
Work through the visible funnel in order.
Ask:
- Is enough campaign activity entering the funnel?
- Is the workflow progressing normally?
- Are messages reaching prospects?
- Are replies being generated?
- Are those replies useful?
Do not start by changing copy simply because replies are weak. A reply problem can originate earlier in the process.
For example, if sender performance or delivery is deteriorating, changing the message may not address the real issue.
Decision rule: Find the earliest meaningful weakness before deciding what to change.
3. Use Sequence to locate the weak step
If the overview points to a campaign problem, move to the Sequence view.
BrandJet documents step-level sequence performance, including workflow visualization and step status counts. The documented statuses include:
- Completed
- Processing
- Pending
- Failed
- Skipped
- Waiting connection
- Waiting follow
Use this view to answer a narrower question:
Is one part of the sequence performing differently from the rest?
If the campaign is healthy until a particular step, investigate that step before rebuilding the entire sequence.
For example:
- If later steps are not progressing as expected, inspect their status counts.
- If one outreach step generates noticeably weaker results, review that step's content, timing, or audience context.
- If the problem appears across the sequence, move back to a campaign-wide diagnosis instead of treating one message as the cause.
BrandJet's campaign analytics guide documents Sequence as the step-level diagnostic layer after the broader campaign overview.
4. Use Activity when you need event-level evidence
Move to Activity when you need to understand what actually happened to campaign events.
BrandJet documents activity events including:
- sent
- delivered
- opened
- clicked
- replied
- failed
- bounced
- unsubscribed
It also documents LinkedIn follow and connection-related activity in campaigns that use those steps.
Use Activity to confirm a suspected problem rather than browsing events without a question.
A practical flow is:
Overview identifies the symptom → Sequence identifies the step → Activity helps explain the event pattern
If the overview suggests poor progression and the sequence identifies a weak step, Activity can help you determine whether failures, bounces, replies, or other events are contributing.
This keeps the review focused.
5. Read campaign metrics together, not one at a time
BrandJet's documented campaign analytics include metrics such as Leads Contacted, Total Replies, Reply Rate, and Engagement Rate. The authenticated analytics workflow also includes positive-reply analysis.
Do not judge a campaign from one percentage.
First look at the underlying activity level. A rate based on a very small number of contacts can change dramatically after one reply.
Then compare response quantity with response quality.
A useful order is:
- Check how much activity has accumulated.
- Check total replies.
- Check positive replies.
- Check whether the resulting pattern is consistent with the funnel.
- Compare the result with sender performance.
Review boundary: Avoid making a major campaign decision from a tiny sample where one response would reverse your conclusion.
There is no universal BrandJet sample-size threshold documented for this decision, so use the counts shown in your analytics and avoid inventing one.
6. Separate total replies from positive replies
Total replies and positive replies answer different questions.
Total replies tell you how many responses the campaign generated.
Positive replies tell you how many responses created a useful next step.
BrandJet defines a positive reply as a useful response that signals interest or moves the conversation forward. Rejections, removal requests, automated responses, and other non-opportunity replies should not be counted as positive.
BrandJet's documented calculation is:
Positive reply rate = Positive replies ÷ Delivered emails × 100
See the official BrandJet positive reply rate definition.
Consider two campaigns with comparable volume:
| Campaign | Total replies | Positive replies | What it suggests |
|---|---|---|---|
| Campaign A | Higher | Lower | Lots of reactions, but less useful interest |
| Campaign B | Lower | Higher | Fewer responses, but more useful conversations |
Campaign B may be producing the better business outcome even though Campaign A has more total replies.
Decision rule: Do not scale solely because total replies increased. Check whether positive replies improved too.
7. Compare sender performance inside the same campaign
Next, move to sender-level performance.
The authenticated BrandJet workflow includes sender analysis, while BrandJet's public analytics documentation confirms account-level review through the Accounts view.
Compare senders under the same conditions:
- same campaign
- same date window
- similar opportunity to send
- same metric definitions
You are looking for an outlier.
Use this simple diagnostic matrix:
| Pattern | Investigate first |
|---|---|
| One sender is weak while peers are consistent | That sender or account |
| Most senders weaken together | Campaign, audience, offer, sequence, or broader sending conditions |
| Sender volume is very uneven | Gather more comparable evidence |
| Replies exist but positive replies are weak across senders | Audience, offer, messaging, or next-step request |
This distinction matters because a weak campaign average can be caused by one sender.
Changing the entire campaign when only one account is deteriorating can create unnecessary disruption.
Review boundary: Sender comparisons are diagnostic evidence, not automatic BrandJet recommendations. Do not treat a difference between two rows as proof of a specific deliverability problem without supporting evidence.
If the data points toward sending health rather than messaging, continue with BrandJet's guide to diagnosing cold email deliverability before rewriting copy.
8. Choose one action: pause, fix, or scale
After reviewing the date range, funnel, sequence, activity, positive replies, campaign metrics, and sender metrics, choose one primary action.
Pause
Pause when continuing to send could increase risk while you investigate.
Examples include:
- unusual failures or bounces
- clear sender deterioration
- broader delivery problems that need diagnosis
BrandJet documents that pausing a campaign stops new sends from being scheduled, although sends already queued for the current minute can still be sent. See campaign timezones and schedules.
Do not use an external provider threshold as if it were a BrandJet analytics rule.
Fix
Fix the campaign when sending appears stable but useful replies are weak.
Review, in order:
- Audience fit
- Offer
- Message
- Next-step request
- Sequence step performance
- Timing
If the data points to one sequence step, change that part first instead of rebuilding the whole campaign.
For sequence changes, see how to build a BrandJet campaign sequence.
Scale
Scale only when the evidence is consistent.
A stronger scale case has:
- useful positive replies
- enough activity to make the result meaningful
- no obvious sender deterioration
- performance that is not dependent on one exceptional sender
- results that remain stable across a useful comparison window
Do not use open rate alone as your scale signal. Apple's Mail Privacy Protection can make opens less reliable as direct evidence that a recipient actively opened the message. See Apple's Mail Privacy Protection documentation.
Positive replies and sender consistency are closer to the actual campaign outcome.
9. Record the decision and review again on a comparable window
Finish the review by recording what you found.
Use a simple checklist:
| Review item | Record |
|---|---|
| Reporting window | Current BrandJet date range |
| Campaign timezone | Confirmed |
| First weak stage | Funnel stage observed |
| Total replies | Current value |
| Positive replies | Current value |
| Sender outlier | Yes or no |
| Decision | Pause, fix, or scale |
| Main change | One defined action |
| Next review | Comparable future window |
Changing one major variable at a time makes the next analytics review more useful because you can connect the result to a specific action.
If campaign replies now need follow-up, continue with how to track campaign replies in one inbox.
FAQ
Campaign results look worse after changing the date range
Check whether the new range is shorter, longer, or in a different stage of campaign maturity. Compare equivalent windows before concluding performance declined.
Daily totals do not match the day you expected
Check the campaign timezone. BrandJet groups daily and hourly analytics using the campaign timezone rather than assuming the viewer's local timezone.
Total replies look healthy but opportunities are weak
Check positive replies. A high total reply count can include negative or non-opportunity responses.
One sender looks much worse than the others
Keep the campaign and reporting window constant, then compare the sender against its peers. Investigate the account before changing the whole campaign.
The overview shows a problem but the cause is unclear
Move in order from Overview to Sequence to Activity. Use Sequence to find the affected workflow step and Activity to inspect the event pattern behind it.
You are unsure whether to pause or fix
Pause when continued sending may increase sender or delivery risk. Fix when sending looks stable but audience, offer, message, sequence, or positive-reply performance needs improvement.
The goal of BrandJet Campaign Analytics is not to find the most impressive number. It is to move through the evidence in order and make one defensible decision:
Set the window → find the weak stage → inspect the sequence → check events → assess positive replies → compare senders → pause, fix, or scale.