Advanced analytics

Uncover the hidden revenue inside your conversations

Among hundreds of conversations, who is ready to buy and who is about to leave? AI reads every conversation, scores it and puts a price on it: estimated deal value, cost of loss, reason for objection. Manage sales by measurement, not by gut feeling.

Try it free Conversation-based AI scoring and value estimates
Conversation intelligence · Mehmet K.
Sales potential
84
Urgency
71
Complaint risk
12
Objection: priceEstimated value: ₺18,500Suggested segment: Hot
Tip: Follow up today with the installment option; they asked about a competitor's price.
Advanced analytics

Starts at 2.500 ₺ / month

7-day free trial · No setup fee · Upgrade your plan any time

Not knowing which channel brings in business means putting a little of your budget in the wrong place every month.

If your average sale is ₺5,000: the monthly cost of your subscription is not even a single sale.

The data is already yours — in your conversations

Your business's most valuable data isn't in spreadsheets, it's in dialogues: what the customer asked, what they objected to, how much they're ready to spend. This data piles up in WhatsApp every day, but no one can read hundreds of conversations. ÖzgürKod's analytics engine reads them: it summarizes each conversation, generates four scores (sentiment, sales potential, complaint risk, urgency — all from 0-100), compares the sentiment at the start and end of the conversation ("did the conversation end well?") and labels the conversation category and the main topic.

Beyond the score, it turns it into money: it extracts an estimated deal value from the conversation, calculates the cost if the customer is lost, categorizes the objection that's blocking the sale and writes a concrete sales tip for the sales rep. On the advertising side, LTV ROAS compares the 12-month total payments of a customer you won against ad spend — this is the real answer to "is advertising working?"

Analysis layers

Four lenses, one goal: the right priorities

Conversation intelligence

4 scores per conversation + summary + main topic + conversation category. Sentiment change from start to end: it's measured whether your sales rep could turn the situation around.

Value estimation

It extracts an estimated deal amount from the conversation, the cost if lost, and a segment suggestion. The "discussed but not written down" value of your pipeline becomes visible.

Objection & risk analysis

Price, trust, or timing? Objections are categorized; conversations with high complaint risk stand out with a handoff-to-human suggestion. Conversations that mention a receipt/payment are also flagged.

Loyalty & cross-sell

Customers silent for 90 days are grouped under "churn risk", customers with 3+ activities under "loyal"; the cross-sell report lists the audience you can sell a second service to.

LTV ROAS

Measure ad return over 12 months

ROAS that looks only at the first sale doesn't see the returning customer. When you turn on the LTV ROAS key, the system compares all payments in the last 12 months from customers won through ads against spend:

  • The whole chain — ad → lead → customer → all payments — matches automatically
  • Campaigns that "look expensive" but bring loyal customers are cleared
  • CPL, CPA and Net ROI are read together by campaign and ad set breakdown
  • Trend with period comparison: is your return growing or eroding?
Classic ROAS2.1xbased on first sale
vs
LTV ROAS6.8xbased on 12-month payments

The same campaign — two different stories. The second one drives the right decision.

Morning routine: your priority list in 3 minutes

1

Check the scores

Conversations with high sales potential + urgency are at the top. Those are the first calls today.

2

Take on the risks

The team takes over conversations with rising complaint risk and a handoff-to-human suggestion.

3

Follow up with a tip

Under each conversation the AI's sales tip is ready: based on the objection, based on the context.

Frequently asked questions

Frequently asked questions

Which channels does analytics work on?

Conversation intelligence works on WhatsApp conversations (your busiest sales channel). Loyalty, cross-sell and LTV ROAS analyses use all CRM data.

What are the scores based on?

The AI reads the entire conversation in context: the questions asked, objections, tone and intent. Every analysis is stored together with the raw AI output; you can see what was scored and why.

How do I control the cost?

Analysis runs on the API key you define; you set the daily conversation quota (default 50). You can turn off automatic analysis at any time and analyze only the conversations you choose.

Is this a model that "sees the future"?

Honest answer: no, we don't sell a crystal ball. Scores are AI reading of existing conversation and behavior data — not magic, scale: what you'd read in 5 minutes, the system does for hundreds of conversations every day.

Hand your priorities over to data

Have a scored priority list in your dashboard tomorrow morning.

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