Click to WhatsApp ads for car dealers only pay off if someone replies while the buyer is still holding the phone. Cloodot knows which ad started each chat, opens with that model instead of "how can I help?", qualifies the buyer, and shows you which ads produced leads worth a call.
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Hi, I saw the EV ad. Is the exchange offer still on?
It is, until the end of the month. Which car would you be exchanging, and roughly how many kilometres has it done?
Click-to-WhatsApp ads are good at one thing: getting a buyer to open a chat. The message that arrives is often the pre-filled one, "Hi, I'm interested", with no model, no city and no budget. Someone on your team has to reply "which car?" and hope the buyer is still there.
Ads run in the evenings and over weekends, when the showroom is closed, so the leads you paid for queue up until morning. Meta also gives you a head start you can waste: when a buyer starts a chat from one of these ads and you answer within 24 hours, Meta opens a free entry point window of 72 hours in which your messages to that buyer are not charged. Reply after 24 hours and that window never opens.
And when the month ends, nobody can say which ad brought buyers and which brought browsers, because the leads were never tied back to the ad that produced them.
When a buyer taps your ad, the first message carries the ad itself: its id, headline and body text. The AI agent reads the ad's headline and text along with the message, so Fathima Rahman, who tapped the EV ad, gets a first reply about the EV and its exchange offer, not a menu. A workflow on the New Conversation trigger can label the chat by ad (say, EV launch or Diesel SUV exchange) and, from the next message, hand it to a persona written for that campaign.
The agent then qualifies in a few messages: which model and variant, cash or finance, an exchange vehicle and its kilometres, which showroom is nearest, and when she wants to buy. It fills those into custom fields, applies labels such as Hot lead or Finance enquiry, and hands the serious ones to your sales team with the context attached. Browsers get their answers and a polite close, without an executive spending ten minutes on each.
Afterwards, Ad Insights shows messages by ad headline and by channel, and you can follow each ad through to the answers and labels it produced. Contacts can be segmented by the ad they came from, so a follow-up campaign to everyone from the EV ad who did not book is one segment and one template away.
Each chat started from an ad carries the ad id, headline and body, so workflows can label, route or pick a persona per ad.
Explore Skills & workflowsAd message volume by channel, source type and headline, with the answers and labels each ad's conversations produced.
Explore AnalyticsThe agent sees the ad's headline and text with the first message, and a persona written for one campaign can take over with that offer's details and questions.
Explore AI agentExchange vehicle, finance or cash, and buying timeline are captured as the buyer types, ready for a filter or a handover.
Group contacts by the ad they came from or their last reply, then send a follow-up template to exactly that group.
Explore CampaignsDealers and dealer groups in India and the GCC spending on Meta ads that open WhatsApp, from a single brand showroom in Bengaluru to a multi-brand group running launch campaigns in Dubai and Riyadh.
It is aimed at the marketing head who buys the ads and the sales manager who has to work the leads, so both can see the same numbers.
5 steps
Use the WhatsApp number connected to Cloodot as the ad's destination in Ads Manager, and note each ad's id.
Add each running offer, its model and variants to the Knowledge Base, and write the qualifying questions and handover rules for final price or discounts. For a big launch, give the campaign its own persona.
Build a New Conversation workflow with a Decision on the ad id, then Add Label for the campaign and Assign to AI for its persona. Add one condition per ad.
Create custom fields for exchange vehicle, finance or cash and timeline with AI Extraction on, and a Hot lead label the agent applies.
After a week, compare headlines by messages and by Hot lead labels, and build a segment of each ad's non-bookers for a follow-up.
Luxon runs WhatsApp campaigns to bring buyers into the showroom. Cloodot now sorts serious buyers from casual responders after every campaign, so the sales team starts its day on the high-intent conversations, with the context already gathered.
Partly. When a buyer messages you from a Click-to-WhatsApp ad and you reply within 24 hours, Meta opens a free entry point window of 72 hours in which your messages to that buyer are not charged. After it closes, normal WhatsApp pricing applies. You still pay Meta for the ad, and Cloodot counts its usual message credit for each AI reply.
Yes. The first message from an ad carries the ad's id, headline and body, which Cloodot uses in Ad Insights and passes to your workflows. You can label or route by ad, and segment contacts by the ad that brought them in.
Something about what they tapped. If the ad was a launch offer, open with that model and one question that moves the sale, such as the exchange car or the nearest showroom. Generic greetings waste the reply. Because the agent sees the ad, keeping each offer in its knowledge is enough.
It asks and records rather than judges in silence. It captures timeline, budget or finance, and exchange details, and applies a Hot lead label when your description fits. Your sales team then works the labelled leads first, and the browsers still got their answers.
Yes. Click-to-Instagram and Click-to-Messenger ads carry their ad details into the conversation in the same way, so the same workflows can label and route those leads. Ad Insights splits ad messages by WhatsApp, Instagram and Facebook, which shows where your audience actually prefers to talk before you move budget.
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