Zovda
A launch window for a phone, a wearable, or an accessory is short. The conversations that decide the first month happen in the first days, and they happen on several platforms at once. Most 3C teams have the data; what they lack is one place to read it from.
What launch teams need in the first week
- Volume by market. Where the conversation is actually happening, not where the media plan assumed it would.
- Sentiment direction. Whether reception is improving or turning, and which product claims are driving it.
- Creator response. Which creators picked the product up, and how their posts performed.
- Share of voice. How the launch compares with the closest competing device in the same window.
- A baseline. The same metrics for the weeks before launch, so the spike can be read against something.
What one data layer changes
When each platform is a separate integration, a launch readout becomes a data-engineering task. With one schema, the same query returns comparable fields across 6 platforms covered; the social media data API overview shows what that replaces:
- 100+ unified fields for content, author, engagement, and time, so launch metrics are defined once.
- 30+ data APIs for narrower questions, such as creator-level performance or historical pulls.
- Refresh by the minute, daily, or weekly, depending on the data type and the decision it feeds.
- REST + MCP access, so the same data can feed dashboards and internal AI tools.
How the workflow looks
- Before launch. Pull four weeks of baseline volume, sentiment, and creator activity by market.
- Launch day. Track volume and sentiment by market, with scheduled alerts when a threshold is crossed.
- End of week one. Compare share of voice against the closest competitor and identify the claims that travelled.
- After launch. Keep the historical rows for the next launch and for quarterly reviews.
Where AI helps, and where it does not
Sentiment scoring, trend detection, and competitor benchmarking remove a lot of manual reading. They do not replace a decision about positioning. The useful pattern is to let the model surface the change, then have the team decide what it means for positioning, messaging, and channel mix.
Start with a trial
A trial includes 100 API calls per day for 7 days. Tell us the markets and the product category you are launching, and we will confirm the use case, open the trial account, and reply within 1 business day.