Analytics & Business Intelligence

See what’s working.
Know what to do next.

Understand campaign performance, customer engagement, and team workflows in one clearer view. Use connected data and AI-assisted insights to see what is changing and decide where to focus next.

Wisemelon analytics interface comparing campaign engagement and business performance trends, with illustrative data. A weekly chart shows customer conversations rising from 1,120 in the week of August 18 to 1,520 in the week of October 6. A campaign summary lists reply rates for New arrivals (13.3%), Workshop invite (12.0%) and October restock (6.8%). An AI insight panel notes that the October restock reply rate is lower than the previous three campaigns and suggests comparing them before changing the next message.
AnalyticsBusiness overview All channelsAug 18 – Oct 12

Customer conversations, weekly

5,69023%last 4 weeks vs the 4 before

Recent WhatsApp campaigns Reply rate

  • New arrivalsSep 18 · 4,200 sent13.3%
  • Workshop inviteSep 30 · 3,600 sent12.0%
  • October restockOct 9 · 4,800 sent6.8%

AI insightFrom recorded campaign data

October restock has a lower reply rate than your previous three campaigns.

6.8% replied, against a 12.4% average. Delivery held steady at 97%.

View campaign comparisonPossible factors to review: audience, content, timing

Design concept. Illustrative data.

The problem

You have the data.
But do you have the full picture?

Campaign reports, customer conversations, and team activity can tell different parts of the story. When information is scattered, it takes time to connect the numbers and understand what deserves attention.

Explore Analytics
Brought into one viewNumbers show what changed. A connected view helps you see where to look next.
  1. CampaignsSent, delivered, read, replied
  2. ConversationsVolumes and response times
  3. Team & workflowsTickets, stages, delays
  4. One overviewTrends and what needs attention

Illustrations of common problems, not Wisemelon screens.

Business overview

Your business performance,
all in one view.

Bring relevant performance signals together to understand how your business is doing, what is changing, and where closer attention may be needed.

Business overview organised around three questions, with illustrative data for the four weeks from September 15 to October 12. How are we performing: 5,690 customer conversations, up 23%; campaign reply rate 10.5% across three campaigns, down 1.3 points; median first response 14 minutes. What is changing: weekly conversations by channel over 12 weeks, rising from 1,010 in the week of July 21 to 1,520 in the week of October 6, mostly WhatsApp. What needs attention: the October restock reply rate is below recent campaigns, Billing first responses take 41 minutes against a 30-minute target, and opt-outs on the October 9 campaign were 31 compared with 9 to 12 before.
AnalyticsOverview Last 4 weeksCompare: previous 4 weeks

1How are we performing?

Customer conversations5,69023% vs previous 4 weeks

Campaign reply rate10.5%1.3 pts · 3 campaigns

Median first response14 minAbout the same

2What is changing?

Weekly conversations by channel12 weeks · Jul 21 – Oct 12

This week1,520 conversations104 tickets resolved1 campaign sent

3What needs attention?

  • October restock reply rate is below recent campaigns6.8% vs a 12.4% average for the previous three
  • Billing first responses are slower41 min median, against a 30 min target
  • More opt-outs on the Oct 9 send31, compared with 9–12 on earlier campaigns

Noteworthy changes are flagged from the data you choose to monitor.

Design concept. Illustrative data. Explore the Analytics & BI product

Campaign performance

Understand which campaigns
are working.

Compare campaign performance, understand how people respond, and identify which messaging approaches deserve more attention.

CampaignsCompare WhatsAppAll audiencesSep 15 – Oct 15
Campaign performance table, illustrative data. Rates for read and replied are shares of delivered messages.
CampaignSentDeliveredReadRepliedReply rateOpt-outs
New arrivals Sep 184,2004,074 97.0%3,178 78.0%54213.3%12
Workshop invite Sep 303,6003,492 97.0%2,619 75.0%41912.0%9
October restock Oct 94,8004,656 97.0%3,445 74.0%3176.8%31

Selected campaign

New arrivals

Template “new_arrivals_sep” · Thu, Sep 18, 10:00

Audience
Past buyers · 4,200
Read rate
78.0%
Reply rate
13.3%
Opt-outs
12

Replies in the first 48 hours

0h48h

Most replies arrived within six hours of sending.

Selected campaign

Workshop invite

Template “workshop_oct” · Tue, Sep 30, 11:00

Audience
Newsletter list · 3,600
Read rate
75.0%
Reply rate
12.0%
Opt-outs
9

Replies in the first 48 hours

0h48h

Replies were spread more evenly across the first day.

Selected campaign

October restock

Template “restock_oct” · Thu, Oct 9, 18:30

Audience
Past buyers + new list · 4,800
Read rate
74.0%
Reply rate
6.8%
Opt-outs
31

Replies in the first 48 hours

0h48h

Fewer replies overnight, with a smaller second rise the next morning.

Design concept. Illustrative data. Shows the campaign metrics Wisemelon records, such as delivered, read and replied, where supported; no sales attribution is implied. Plan and send with Campaign Management Follow up over time with Drip Marketing

Know which campaigns deserve your next move.

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Customer behaviour

Understand how customers
engage with your business.

Explore engagement patterns and identify where customers respond, lose interest, or may need a different next step.

October restock · Oct 9–15 What people did after the message arrived. Illustrative data.
  1. Message delivered4,65697% of sent
  2. Message read3,44574% of delivered
  3. Link opened where link tracking is set up1,10232% of readers
  4. Replied3176.8% of delivered

2,343 read the message but didn’t open the link

Selected step · Link opened

32%of people who read the message opened the product link

Opened
1,102
Read, no open
2,343
Earlier campaigns
41–46%
Period
Oct 9–15

The biggest change happens between reading and opening the link. That may point to the offer, the button wording or the timing — worth a closer look before the next send.

Shows the interaction events Wisemelon records for your channels. Link opens, form steps or purchases appear only where that tracking or integration is set up. See the conversations behind the replies in Customer Support

Team & workflow performance

See where work is moving —
and where it is stuck.

Understand how work progresses across teams and workflows. Identify delays, compare performance, and see where attention may be needed.

Ticket workflow analytics for the last four weeks, with illustrative data. Stages: New, 24 tickets, median 18 minutes in stage; Assigned, 18, 36 minutes; In progress, 31, 7.5 hours, longer than the usual 4 hours; Waiting on customer, 12, 1.2 days; Resolved, 412. Four delayed items are listed with their department, stage and waiting time. Median first response time by department: Sales 9 minutes, Support 12 minutes, Operations 22 minutes and Billing 41 minutes, against a 30-minute target.
TicketsWorkflow analytics All departmentsLast 4 weeks

Ticket stages · count now and median time in stage

  1. New2418 min
  2. Assigned1836 min
  3. In progress317.5 h · usually 4 h
  4. Waiting on customer121.2 days
  5. Resolved412last 4 weeks

Delayed items

  • TK-2214Refund not receivedBilling · In progress2 d 4 hPast target
  • TK-2231Copy of last invoiceBilling · In progress1 d 6 hPast target
  • TK-2209Change delivery addressOperations · Assigned1 d 2 hPast target
  • TK-2198Bulk order quoteSales · Waiting on customer3 dWaiting

Median first response by department

  • Sales9 min
  • Support12 min
  • Operations22 min
  • Billing41 min

Billing is the only department above its configured target.

Design concept. Illustrative data. Built from the ticket and workflow events your setup records; it shows how work moves, not individual activity. Track requests in Ticket Management Organise teams with Department Management Shape the process in Workflow Development

AI-powered insights

Let AI help you understand
what the numbers mean.

Spot meaningful changes, explore the data behind them, and get suggestions for what to investigate next.

An AI insight shown beside the campaign data it is based on, with illustrative data. Reply rate by campaign: Loyalty check-in, September 4, 11.8%; New arrivals, September 18, 13.3%; Workshop invite, September 30, 12.0%; October restock, October 9, 6.8%. The average of the previous three is 12.4%. The insight states that the latest campaign has a lower reply rate than the previous three, lists possible explanations to check, the areas to investigate, and suggests comparing this campaign with previous campaigns before changing the next message.

Evidence · Reply rate by campaign

Share of delivered messages that received a reply

Source
Campaign reports
Period
Sep 4 – Oct 15
Delivered
16,040 messages

AI insightNewUpdated Oct 15, 09:00

Campaign reply rate has declined

Your latest campaign has a lower reply rate than your previous three campaigns.

1What the data shows

  • 6.8% reply rate on October restock, against a 12.4% average
  • Delivery steady at 97%; read rate 74%, close to earlier sends
  • Opt-outs rose to 31, from 9–12

2What may explain it Possible, not confirmed

  • The audience included a newly added list
  • A new template, without a question to reply to
  • Sent at 18:30; earlier campaigns went out in the morning

3What to investigate

Audience differencesMessage contentDelivery timing

4Suggested next step

Compare this campaign with previous campaigns before changing the next message.

View campaign comparisonYou decide what changes. Nothing is sent automatically.

Design concept. Illustrative data. AI-assisted insights describe patterns in your recorded data and suggest what to check; they don’t claim to know the exact cause.

From insight to action

Turn insights into
better business decisions.

Move from noticing a change to understanding it and deciding what to do next.

  1. 01

    Insight

    A campaign’s reply rate is declining.

  2. 02

    Investigation

    Compare audience, content, timing, and engagement metrics.

  3. 03

    Next action

    Use the findings to inform the next campaign. You choose what changes.

Make your next decision with a clearer picture.

Chat with Us

FAQ

Analytics FAQs

What is business analytics software?

Business analytics software helps businesses review performance data, identify trends, and make more informed decisions. The specific data available depends on the systems and events connected to the platform.

What can I track with Wisemelon Analytics?

Wisemelon Analytics brings together the campaign, customer engagement, team and workflow metrics your Wisemelon setup records, such as campaign delivery, reads and replies, conversation volumes, response times and ticket progress. The exact metrics available depend on the channels, features and integrations you use.

Can I measure WhatsApp campaign performance?

Yes. You can review the WhatsApp campaign metrics Wisemelon records, such as messages sent, delivered, read and replied to, where supported. Other measures, like link opens, appear only when tracking for them is set up.

Can analytics help me understand customer behaviour?

Analytics can help you review recorded customer interactions and engagement patterns. How far the journey analysis goes depends on which customer events and integrations are available in your setup.

How does AI help with business analytics?

AI-assisted insights can help surface noteworthy patterns, summarise changes, and suggest areas to investigate. Insights are based on your available data and keep what the data shows separate from possible explanations.

Can AI tell me exactly why campaign performance dropped?

Not necessarily. Data can show where performance changed, but the cause may need further investigation. Possible factors are presented as things to check, not as confirmed explanations, unless the evidence clearly establishes one.

Can I understand team and workflow performance?

Yes, where your Wisemelon setup records the relevant team, ticket or workflow events. Analytics can then help you review progress, response times and delays across departments and workflows. It reports on how work moves, not on monitoring individual activity.

How is Analytics different from Team Collaboration?

Team Collaboration helps teams coordinate work and understand responsibilities. Analytics focuses on performance trends, engagement, and operational outcomes so businesses can see what is changing and where to focus. See Team Collaboration

Analytics & Business Intelligence

Turn business data
into better decisions.

Bring performance, customer engagement, and operational insights together. Understand what is changing and give your business a clearer direction.

Conversations, 8 weeks

1,52036%

AI insightOctober restock replies are below your recent average. Compare it with earlier campaigns before the next send.

Illustrative data.