Data to AI™ / ChatGPT/Marketo
Review email engagement, form performance and bounced addresses from Marketo in ChatGPT, confirming each query so you know which activities shaped the answer.
Better answers, fewer tokens.
ChatGPT
Which lead sources brought the most new leads in September, and how well are they scored?
Webinar brought the most new leads, 1,240, with an average Lead Score of 46. Paid Search added 980 leads but scored lower, at 21 on average.
| Lead Source | Leads | Lead Score |
|---|---|---|
| Webinar Leads | 1,240 | 46 |
| Paid Search Leads | 980 | 21 |
| Trade Show Leads | 410 | 38 |
Leads covers records whose Created At falls in the source's date window; Lead Score is averaged per source, not summed.
Adobe Marketo Engage is a marketing automation platform for email, lead management and scoring. Dataddo extracts one flexible Marketo dataset: pick the Leads or Activities object and the fields you need, including custom lead fields from your instance, so marketing ops can ask about lead flow and engagement in plain language.
For last week, count Email Delivered, Open Email and Click Email activities per Primary Attribute Value and rank the emails by clicks per delivered.
The email marketer approves each lookup, then pastes the ranked list into the weekly update and drops the subject line pattern that keeps underperforming.
Run data_status on the Marketo activities flow, then list Fill Out Form activities this month by Primary Attribute Value with distinct Lead Id counts.
A demand generation manager checks freshness first, then sees which forms convert and which landing pages need a shorter form before the next campaign launch.
How many Email Bounced and Unsubscribe Email activities did we log in the last 30 days, and which Campaign Id produced most of them?
Before the product launch email goes out, marketing ops spots the campaign that is burning the list and pauses it until the audience is cleaned.
Data to AI™ is priced per seat, like the AI assistants your team already uses, with ~25% off on annual billing. Need tailored contracts or volume pricing? Talk to us about Enterprise.
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
$10.49/month
per seat
3 seats minimum
Flexibly deploy Dataddo in any cloud or hybrid environment.
Custom
We have a payment model that works for you
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| Email engagement totals | Someone exports email performance reports one program at a time and merges them in a spreadsheet before uploading to ChatGPT. | ChatGPT queries Activities with Activity Type Name, Primary Attribute Value and Activity Date from the latest extraction whenever you ask. | Recap without merging reports |
| Which activities are extracted | A raw activity export holds every activity type, and the chat drowns in rows nobody asked about. | The optional Activity Type filter limits the Marketo source to the types you pick, such as Open Email, Click Email or Fill Out Form. | Only the activities you need |
| Contact details | A lead export pasted into a chat carries Email Address, First Name and Last Name for every person. | You pick lead fields when creating the source, so leave contact fields out and ChatGPT works with Lead Id and engagement only. | Contact data stays home |
| Control over tools | Nobody can tell which rows of an uploaded file shaped the summary ChatGPT produced. | Each tool call waits for your confirmation, and tools such as refresh can be turned off in the app settings. | Every query approved |
| Token consumption | ChatGPT spends tokens exploring raw Marketo 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. | Fewer 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 Marketo datasets marketing teams use most, with their real field names. ChatGPT queries them by name through the Dataddo semantic layer.
| Dataset | Metrics and attributes |
Ask ChatGPT
|
|---|---|---|
| Leads: source and status |
|
How is Lead Status distributed across leads created this quarter? |
| Leads: company and contactability |
|
How many new leads are flagged Unsubscribed or Email Invalid, and from which Lead Source? |
| Activities: email engagement |
|
Which Campaign Id produced the most Email Delivered activities this month? |
| Activities: forms and web visits |
|
How many distinct Lead Id values filled out a form after a Visit Webpage activity on the same Activity Date? |
| Activities: scoring and data changes |
|
How many Change Status in Progression activities happened per week, by Activity Date? |
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 →Extract Marketo in Dataddo with the Activities object, filtered to activity types such as Open Email, Click Email and Fill Out Form, then attach the flow to a ChatGPT destination or AI Model. In ChatGPT on the web, enable Developer mode, create a Dataddo Data Access app with https://headless.dataddo.com/mcp-data and OAuth.
Developer mode on the web, available on Pro, Plus, Business, Enterprise and Education. On Business and Enterprise, a workspace admin may first need to allow developer mode.
Yes. ChatGPT asks you to confirm each tool call, so you approve every lookup of leads or activities before results appear in the chat.
Add Activity Type Name to the source. Dataddo looks up the names of your instance's activity types and fills the column next to Activity Type Id, so ChatGPT reads Click Email instead of a number.
Name and value pairs that Marketo records for each activity type; empty ones are left out. Primary Attribute Value carries the main one, and its meaning depends on the activity type.
It sees the last extraction. Each run reads activities created in the relative date window, so the schedule decides how current they are, and data_status shows when the flow last ran.
No. ChatGPT queries extracted data through the semantic layer by entity and field name. Dataddo never accepts SQL from the model, and nothing is written back to Marketo.
