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clientclue

Every customer who leftcomplained first.

The problem

How ClientClue solves it

The four questions your team asks, with numbers for answers.

  1. What are customers complaining about most?

    Top issues, counted.

    56 messages

    "App lagging and slow response" is the biggest issue in the public Google Play reviews of MTN Nigeria: 9% of the 590 messages.

  2. Is anything new going wrong?

    Rising and New, the week it starts.

    3 Rising, 0 New

    In the last full week, "App crashes or closes unexpectedly" was Rising: 9 this week, 5 the week before.

  3. Why are people leaving?

    Cancellation reasons, in their own words.

    14 leaving

    Messages across 8 weeks said the customer was leaving or had left. In the last full week the top reason was a move to a rival.

  4. What do I show the team each week?

    The weekly report.

    5 issues

    The weekly report for Week 7 lists the top 5 issues, with 14 quotes checked word for word, and what is Rising.

Core features

From a pile of messages to a plan for the week.

The dashboard, live

Watch a real week of complaints get sorted.

  1. Read
  2. Group
  3. Spot
  4. Report

MTN Nigeria, 590 messages

Messages arriving, 0 of 40 shown

    Issues, counted as they land

    • App lagging and slow response0
    • Airtime and data balance not updating0
    • App crashes or closes unexpectedly0
    • Poor internet connection speed0
    • App login authentication error0
    • Other issues0
    Play
    Week

    How it works

    From a file to a report in four steps.

    Importyour file

    • CSV
    • Excel
    • Paste
    • Four file kinds

    Drop in a CSV or Excel file, or paste messages. ClientClue matches the columns and shows what it will drop and hide before it reads anything.

    Readevery message

    • English
    • Pidgin
    • Hausa
    • Yoruba
    • Igbo

    ClientClue AI reads every message and notes its language, feeling and kind: problem, question, request, praise or leaving.

    Groupwhat repeats

    • Areas
    • Issues
    • Rising
    • New this week

    Messages that mean the same thing become one issue with a plain name. Problems that grow, or appear for the first time, get a flag with their numbers.

    Reportevery week

    • Checked quotes
    • PDF
    • Share link
    • WhatsApp summary

    Your team gets one weekly report, on the day it picks: top issues, what is rising, why customers leave, and quotes checked word for word.

    How ClientClue AI works

    It reads Pidgin, slang and one-word reviews.

    • OTP not arriving for login
    • Unable to log in
    • Delivery fee too high
    • App slow to open
    • Fares too low for fuel costs
    • Excessive data depletion
    • Account restricted or locked

    Code does the counting. ClientClue AI does the reading. Every number comes from code, and every quote is checked by code.

    1. Hide personal details

      Code does
      Finds names, phone numbers, emails, account numbers and card numbers and replaces them with labels like [phone].
      ClientClue AI does
      Only ever sees the hidden version.
    2. Find the issues

      Code does
      Picks a spread of up to 400 of your messages.
      ClientClue AI does
      Proposes areas and issues in plain names, such as "Data deducted but not delivered".
    3. Read each message

      Code does
      Sends messages in batches of about 50 and checks that every message comes back.
      ClientClue AI does
      Notes the language, the feeling, the kind, the issue, and an English line when the message is not English.
    4. Check every quote

      Code does
      Looks for each quote word for word in its message. A quote that is not found is dropped.
      ClientClue AI does
      Picks the short part of a message that says it best.
    5. Count

      Code does
      Counts each issue by week and works out Rising and New with fixed rules.
      ClientClue AI does
      Does no counting.
    6. Write the report

      Code does
      Picks the issues, the numbers and the quotes, then checks that every number in the written lines matches.
      ClientClue AI does
      Writes one plain line for each issue and a "check this first" line.

    Before and after

    One file in. One report out.

    Before

    590 app reviews in a spreadsheet.

    Public Google Play reviews of MTN Nigeria, over 8 weeks, in one file.

    After

    49
    issues found
    3
    Rising or New problems in the last full week
    582
    quotes checked word for word
    94
    seconds to read every message

    Case studies

    Real reviews, run through ClientClue AI.

    Public Google Play reviews, read by ClientClue. Each company is named for transparency; none is a customer or took part. Reviewer names and personal details are hidden. About these case studies

    • 4,417messages read in the case studies
    • 4,286quotes checked word for word
    • 60%sentiment accuracy on 400 labelled Nigerian Pidgin tweets
    • 376messages read a minute

    What you can bring

    Bring the file you already have.

    CSV or Excel, or paste. Name, phone and email columns are hidden before reading.

    Who reads it

    The person who opens it every week.

    Every number traces back

    • Every count clicks through to the messages behind it
    • Every quote is checked word for word against its message, and dropped if it does not match
    • Every number in a report line is checked against the counts

    Your data

    • Names, phone numbers and account numbers are hidden before ClientClue AI reads anything
    • Your original file is not kept after import
    • Your messages are read in the EU
    • You can delete your data any time

    Pricing

    Pay for the messages you read.

    100100,000

    1,100messages a month

    Starter

    ₦30,000 a month

    about $21

    Start with Free: 300 messages, once. You pay month to month and can stop any time. See every plan

    Our story

    Made for teams that hear the complaint too late.

    Customers complain before they leave. In Nigeria they complain in app reviews, in chat, on social media and in support tickets. Often it is in Pidgin or a mix of languages. Most teams read a few of them and miss the pattern.

    ClientClue reads all of them. It groups what repeats and flags a problem in the week it starts. Each week your team gets your customers' own words.

    We built it in Nigeria, for Nigerian and African teams, and we publish how well it reads each language.

    Questions

    Plain answers to plain questions.

    Guides

    Short guides for your first file.

    Send usyour worst week.