Data to AI™ / Claude/Facebook Organic
Find out which post topics and formats grow your Facebook Page and in which markets, by asking Claude instead of scrolling through Page insights.
Less tokens, better answers.
Claude
How much of our Facebook Page media views were organic in September?
Organic media views held steady at 177k to 195k a week. Paid views jumped in the week of 8 Sep, when posts were boosted, so that spike is not organic growth.
| Week | Page Media View (Organic) | Page Media View (Paid) |
|---|---|---|
| 1-7 Sep Page Daily Media Views by Ad Status | 182,400 | 96,300 |
| 8-14 Sep Page Daily Media Views by Ad Status | 176,900 | 141,200 |
| 15-21 Sep Page Daily Media Views by Ad Status | 188,100 | 88,700 |
| 22-28 Sep Page Daily Media Views by Ad Status | 194,600 | 90,500 |
Organic and paid views are separate rows from Facebook's is_from_ads breakdown, added up by week.
Facebook Organic collects non-paid data from your own Facebook Pages: post and reel insights, page metrics, fans by market, comments, reviews, inbox metrics and lead form submissions.
Group last quarter's posts by theme based on their Message and compare average Lifetime Reach and Clicks per theme.
Claude reads the post text itself, clusters it into topics and ranks them, so next month's editorial calendar favours themes with proof behind them rather than gut feeling.
Do posts with Views - Videos above zero get more Engagement per Lifetime Impressions than posts without video? Show the top five of each.
The answer settles the recurring debate about producing more video, with examples of the best posts on both sides for the creative team to review.
Query Page Daily Fans by Country through the dataddo server and write a script that charts weekly Fans Count per market to charts/fb-fans.py.
A marketing analyst keeps the market-by-market growth view as versioned code next to the rest of the analysis, so it runs the same way every quarter.
Data to AI™ is free while in private pre-release. We onboard teams in waves and shape the product with their feedback. At launch, it will be priced like the AI assistants your team already uses. Need tailored contracts or volume pricing? Talk to us about Enterprise.
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
Free during pre-release
Flexibly deploy Dataddo in any cloud or hybrid environment.
We have a payment model that works for you
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Transposed insights | Page and post exports list one metric per row, so someone pivots Title and Metric Value columns before Claude can compare anything. | Posts Lifetime Insights by Post already has one row per post, and Claude can pivot transposed datasets by Title when you need them. | No manual pivot tables |
| Reading the post text | Post copy is read on Facebook while metrics sit in a separate export, so nobody links wording to results. | The Message field arrives next to Lifetime Reach, Engagement and Clicks, so Claude can relate topic and tone to performance. | Copy tied to results |
| Market-level fan data | Fans by country are checked page by page in the Facebook interface, and month-old screenshots end up in the report. | Page Daily Fans by Country re-reads its date range on every scheduled run, so Claude compares markets on current Fans Count. | Current fans per market |
| Token consumption | Claude spends tokens exploring raw Facebook Organic columns, sampling rows and retrying until it understands the data. | Field definitions and relations are supplied up front, so the model skips the exploration and goes straight to the answer. | Less tokens per answer |
| Answer quality | Prone to wrong joins, invented fields and numbers that are hard to check. | Answers grounded in defined fields. In the Dataddo benchmark, 78.5% of questions were answered correctly, against 65.5% with plain CSV files. | Better answers |
The Facebook Organic datasets marketing teams use most, with their real field names. Claude queries them by name through the Dataddo semantic layer.
List of curated datasets
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
Runs on your schedule. Datasets with a date range, such as fans and daily insights, re-read a relative window that moves forward on every run, with up to 2 years of history through a full data re-sync. Lifetime and metadata datasets pull all currently available data.
Facebook Organic connector →We asked 43 pre-registered questions of three real datasets - Google Search Console, HubSpot deals and Google Ads - and delivered the same rows to the same model in four ways. Only the data layer changed.
of questions answered correctly - the best of the four delivery methods tested
fewer confidently wrong answers - 14.0% of runs against 24.0% and 26.3%
more correct answers on messy CRM data - better on 8 questions, worse on none
Same model, prompts and rows in every condition; 759 graded runs, ground truth frozen before any run. On Google Search Console alone, documented CSV files did as well as Data to AI™ - the advantage comes from messier data such as HubSpot deals.
Read the benchmark →Add a Facebook Organic source in Dataddo with Posts Lifetime Insights by Post and Page Daily Fans by Country, and attach it to a Claude destination or AI Model. Then add the Dataddo Data Access connector at https://headless.dataddo.com/mcp-data in Claude and sign in, or use claude mcp add in Claude Code.
Yes. Posts Lifetime Insights by Post includes the Message field, so Claude can group posts by topic or tone and relate the wording to Lifetime Reach, Engagement and Clicks.
Transposed datasets such as Page Daily Insights Transposed store each metric as a row with Title and Metric Value. Ask Claude to pivot them, or use Posts Lifetime Insights by Post which already has one row per post.
Yes. Run claude mcp add with the Dataddo URL and sign in with /mcp. Claude Code then queries the same Facebook datasets while you write scripts, notebooks or reports in your repository.
No. Claude only queries data Dataddo has extracted, by entity and field name. Nothing is published or changed on Facebook.
Yes, if Dataddo is the only custom connector you need. That one connector reaches every flow or Context attached to an AI destination or AI Model in your Dataddo account.
Up to 2 years, the Facebook API limit. A new source starts from its current date range, so load older fan and insights data once with a full data re-sync.