DeepIntent Cora — Prompt Best Practice Guide

Ask smarter. Plan faster. Activate with confidence.

Everything you need to get the most out of Cora — from your first question to building client-ready audience segments, dashboards, and market analyses.

Audience PlanningCompetitive IntelligenceOmnichannelDashboard PromptsMarket AnalysisVisual Output
Getting Started

Your First Conversation

When you log into Cora, you’ll be asked for brands you work on, and any competitors you want to track. Then you can start prompting, or use the other dashboards and collaboration features of Cora.

"How many HCPs in the US are treating [my brand’s condition]? Break down by specialty."
"What’s the total addressable HCP universe for EoE? Break it down by specialty."
"Look up the ICD-10 codes for chronic sinusitis."
"Which drugs are most commonly prescribed for atrial fibrillation?"
HCP Planning

HCP Prompts

Size HCP audiences, build segments from Cora queries or NPI target lists, map the competitive landscape, plan omnichannel media mixes, and deliver client-ready dashboards — all grounded in DeepIntent’s proprietary HCP data.

HCP — Use Case 1

HCP Audience Planning

The most common starting point for any media plan: how large is my target audience? Cora enables you to understand HCP reach based on specialty, degree type, geography, and clinical behaviors.

1
Sizing Your HCP Universe
Scenario: Responding to an RFP for a biologic targeting Type 2 inflammatory conditions among Allergists
Scenario: You're responding to an RFP for a biologic targeting Type 2 inflammatory conditions among Allergists and need to size the full treating universe.
1
Understand the Full Universe
"How many HCPs are treating atopic dermatitis in the US? Break it down by specialty."
~100K total HCPs — Internal Medicine (54.1K), Dermatology (6.5K), Allergy & Immunology (2.0K), Pediatrics (7.3K), and more.
2
Understand Sub Specialty
"Of those Allergists, how many specialize in asthma or atopic dermatitis? Can you break out the subspecialty focus for the A&I group?"
~54K Internal Medicine HCPs in the treating universe — these represent the broadest segment to evaluate for reach potential.
3
Drill Into Your Target Specialty
"Of those, how many are physicians who also prescribe a biologic for atopic dermatitis?"
2,546 physicians treating AD and actively prescribing a biologic — your refined target universe.
4
Geographic Breakdown
"Break those 2,546 prescribers down by state. Which markets have the highest concentration?"
CA: 1,996 · NY: 907 · TX: 689 · FL: 520 — these four states account for the majority of your high-value HCPs.
Pro Tip — Combine Conditions

Layer conditions to find HCPs that treat multiple relevant diagnoses — they’re often higher-value targets: "How many of those HCPs also treat chronic rhinosinusitis or nasal polyps?"

HCP — Use Case 2

Building an HCP Audience

This is where Cora goes from insight to action. Define your audience through conversation — layering diagnosis, drug, geography, and degree filters — and Cora creates the segment directly in DeepIntent’s DSP.

2
Strategy to Activation in One Thread
Scenario: Building an AD campaign audience targeting top prescribers in high-density markets
1
Define the Clinical Profile
"I want to build an audience of physicians who diagnose atopic dermatitis (L20) and prescribe [Client Brand]. What is the audience size?"
10,833 physicians treating AD and prescribing [Client Brand].
2
Refine by Degree Type — NP/PA vs. MD/DO
"Of those HCPs, break down the audience by degree type — how many are MDs/DOs versus NPs/PAs?"
Cora splits the audience by degree type — understanding the NP/PA share shapes your channel mix and messaging strategy before building the segment.
3
Export for Activation
"Create this as an audience."
Cora will ask you to name the audience, and then it builds it — available immediately in DeepIntent’s DSP under My Audiences.
Pro Tip — Art + Science

Balance specificity with reach. Too many filters = narrow audience, limited scale. Too few = broad, inefficient spend. Ask: "What’s the tradeoff if I remove the geographic filter?" to see the reach impact before committing.

HCP — Use Case 3

Target List Insights & Audiences

Have an NPI list from your client or internal teams? Upload and query it directly through Cora — including match rate, prescribing behavior, and audience activation.

3
NPI List to Live Audience
Scenario: Client provides a CSV of high-priority NPIs to target
Before You Upload — Two Things to Confirm
1

Column Formats

The NPI column header must be exactly: NPI (all caps, case-sensitive). Cora won’t upload the file if the column header is mislabeled.

2

Supported File Formats / Size

Cora accepts CSV, XLSX, Google Sheets (if using Google MCP connector). Files uploaded to Cora must be less than 20MB.

1
Upload the List & Check Match Rate
"Upload this CSV as an HCP target list."
Cora confirms upload and returns match rate — e.g., "13,950 of 14,317 NPIs matched (97.4%)." Low match rates (<80%) may flag stale or non-HCP records worth discussing with your client.
2
Understand the Matched HCPs
"Of the matched NPIs, give me a specialty breakdown. What types of HCPs are on this list?"
Cora returns a specialty and degree-type profile of the list — useful for validating the right HCPs are included and identifying gaps.
3
Query Prescribing Behavior
"Tell me how many HCPs on this target list are currently writing [Client Brand]."
Cora maps the NPI list to its dataset and returns match count and prescribing behavior — helps identify high-value targets within the list.
4
Create the Audience
"Now create an audience from the target list ‘[TargetList_Name]’ for activation in the DSP."
Audience created and immediately live in DeepIntent's DSP under My Audiences — ready to assign to a campaign line item.
Pro Tip — Match Rate Benchmark

A healthy match rate is typically 75–99%+. If yours is lower, ask Cora: "Which NPIs on this list were not matched? Can you identify common reasons — inactive records, non-HCP entries, or specialty mismatches?" This helps you have an informed conversation with your client about list quality.

HCP — Use Case 4

Competitive & Market Intelligence

Understanding where your product fits in the marketplace is critical to your media strategy. Use Cora to observe market trends, identify whitespace, and understand competitor prescriber profiles — at both the campaign level and the full market level.

4.1
Part A — Campaign-Level Competitive Analysis
Scenario: Client launching a new CSU treatment needs whitespace mapping + full market landscape
Scenario: Your client is launching a new CSU (Chronic Spontaneous Urticaria) treatment and needs to find potential whitespace and identify HCPs that can be converted.
1
Size the Competitor's Prescriber Base
"How many HCPs prescribe [Competitor Brand] for urticaria?"
4,800 HCPs prescribing [Competitor Biologic] who also diagnose urticaria.
2
Identify Overlap — HCPs You Can Convert
"Of those [Competitor Brand] prescribers, how many also prescribe [Client Brand]?"
Cora crosses the two drug filters and returns the overlap count — HCPs that can be converted.
3
Identify Whitespace — Untapped Potential
"How many HCPs diagnose urticaria but have NOT prescribed any biologic — neither [Competitor Brand] nor [Client Brand]?"
HCPs in the diagnosis universe who haven't written for either biologic — your full untapped potential.
Pro Tip — Sub-Specialty Breakdown

Ask for the sub-specialty breakdown of competitor prescribers: "Break down [Competitor] prescribers who treat nasal polyps by sub-specialty." This tells you whether competitors have traction in your target segment — and where they don't.

Part B — Market Landscape Analysis

Build a full market picture in one thread — specialty and degree mix, market share, and whitespace — then turn it into a client-ready deck.

4.2
From Data Visualization to Client Deck
Scenario: Brand team needs a market landscape report before campaign launch
1
Build the Initial Analysis
"Create a data visualization for HCPs treating [condition]. Include a breakdown by specialty and degree type. Include a market share breakdown with the top 4 prescribed brands for [condition]. Call out any whitespace opportunities for new prescribers by geography or specialty."
Cora creates a sharable artifact with breakdown by HCP type, market share analysis, and opportunity analysis.
2
Add, Modify, Enhance
"Add a time-series analysis showing which specialties show the highest growth in [condition] diagnoses month-over-month for the last year."
Cora updates the data visualization to include year-over-year growth by specialty — focus budget on rising segments before competitors do.
3
Summarize for Client Delivery
"Turn the data analysis into several PowerPoint slides using our company template."
A complete, citation-ready market analysis deck — ready for a client presentation.
HCP — Use Case 5

Omnichannel Planning

RFPs consistently ask for omnichannel activation strategies backed by data. With Cora, you can discover which channels can actually reach your target audience — and which inventory sources deliver the highest reach.

5
Data-Backed Channel Recommendations
Scenario: An RFP asks for budget recommendations across key activation channels
1
Channel Reach by Audience
"What channels can reach HCPs who prescribe [Client Brand] and treat atopic dermatitis? Show reach by channel."
Display (15.6K) · OLV (15.5K) · Native (15.4K) · CTV (15.3K) · Audio (15.2K) · DOOH (13.2K) · Email (2.5K) · EHR (335)
2
Top Inventory Sources
"Which websites and apps have the highest reach among those HCPs? Rank by unique HCP reach."
Returns top inventory sources ranked by unique HCP reach — ready to support your placement strategy.
3
Channel Comparison for Budget Allocation
“Compare CTV vs. Display for this audience. Which channels offer the best reach for this HCP profile?”
Side-by-side channel comparison to support your budget allocation recommendation.
HCP — Use Case 6

Dashboard Summary

A dashboard prompt is a multi-output request that combines audience sizing, geographic breakdown, competitive context, and channel reach into a single structured summary — ideal for client presentations, RFP responses, and internal planning docs.

6
One Prompt, Client-Ready Summary
Scenario: Building a structured planning brief for a client meeting in under 10 minutes
Key tip: Use output formatting phrases like "format as a dashboard summary" or "structure as a campaign brief" to get organized, client-ready output instead of a conversational paragraph response.
1
Request the Full Overview
"Build me a campaign planning summary for [condition]. Include: (1) total HCP universe, (2) prescriber subset for [drug], (3) specialty breakdown, (4) top 10 states, and (5) channel reach. Format as a dashboard summary."
Cora returns all five metrics in a structured, scannable format — ready to drop into a slide or brief.
2
Add Competitive Context
"Add competitive context to that dashboard: how many of those HCPs also prescribe [Competitor A] and [Competitor B]? How many are prescribing neither? Show the four-way split."
Cora adds the competitive layer — unique to Client Brand, overlap with competitors, and untouched whitespace.
3
Export as a Shareable Brief
"Now format all of this as a shareable campaign planning artifact with a key metrics table, competitive landscape, and channel recommendation. This is for a client meeting."
Cora produces a structured brief you can share within Cora or copy directly into a slide deck or client document.
4
Use Your Own Template
"I have a planning brief template I use for client presentations. I will paste the structure below — please populate it with the data from this conversation, and format the output to match my template layout."
Paste your template structure directly into the chat after this prompt. Cora will fill it in with the data it just pulled — saving you the formatting step entirely.
Pro Tip — Reuse Your Template Every Time

Save your preferred planning brief structure as a text snippet. Add that as an “instruction” for Cora in your user settings. Cora will apply any instructions in your settings to every chat and artifact going forward.

Example Dashboard Output Structure
Total HCP Universe
98.7K
HCPs treating [condition]
Target Prescribers
10.8K
Active [drug] writers
Whitespace HCPs
24.3K
No biologic — untapped
Top Channel
Display
15.6K unique HCP reach
#1 State
CA
1,996 target HCPs
Competitor Overlap
3.2K
Co-prescribing both brands

Illustrative example — numbers reflect Cora output for a sample condition

Pro Tip — Output Formatting Phrases

Always end a dashboard request with a formatting instruction: "Format as a dashboard summary", "Return this as a table", or "Structure this like an executive brief." Without this, Cora may return results as a flowing conversation rather than a scannable layout.

HCP — Use Case 7

Visual Results

Cora can go beyond raw numbers — ask it to structure results as charts, tables, heat maps, and ranked lists that are ready to paste into a client deck, a planning doc, or a live dashboard.

7
From Numbers to Visuals
Scenario: You need client-presentable charts and tables without switching tools
Key tip: Telling Cora how to present results is just as important as asking the right question. It takes the same data and turns it into something a client can read in 10 seconds.
1
Ranked Chart — Specialty Breakdown
"How many HCPs treat [condition] in the US? Break it down by specialty and present the results as a ranked bar chart with the top 10 specialties."
Cora returns a formatted ranked list — specialties highest to lowest with HCP counts. Ready to copy or export.
2
Heat Map — Geographic Distribution
"Show me the geographic distribution of HCPs prescribing [drug] across all 50 states. Present as a heat map table ranked highest to lowest, with state name and HCP count."
A state-by-state ranked table — ideal for the geographic targeting section of a media plan.
3
Audience Overlap — Venn Diagram
"For these three HCP audiences [Audience ID 1, Audience ID 2, Audience ID 3] create a venn diagram showing the overlap and unique reach of using them together."
Cora creates a Venn diagram of the audiences formatted with labels and description.
4
Competitive Share — Pie Chart Ready
"Of HCPs treating [condition], show the prescribing share between [Brand A], [Brand B], [Brand C], and those prescribing nothing. Format as a percentage breakdown table I can use to build a pie chart."
Returns brand, HCP count, and percentage columns — paste directly into Excel or Google Sheets.
5
Full Dashboard — One Prompt
"Give me a visual campaign dashboard for [condition] and [drug]. Include: (1) specialty breakdown table, (2) top 10 states by HCP volume, (3) competitive share as percentages, and (4) channel reach ranked by unique HCPs. Format each section with a header and table. This is for a client presentation."
A full four-section structured dashboard — ready to copy into a planning doc, brief, or deck.

Output Format Cheat Sheet — Add to any prompt:

"Present this as a ranked table, highest to lowest."
"Format as a horizontal bar chart."
"Show as a percentage breakdown I can turn into a pie chart."
"Return all data in a table with headers so I can paste into Excel."
"Format as a heat map table ranked by volume."
"Give me an executive summary with key metrics called out as stats."
Pro Tip — Tell Cora Who the Audience Is

Telling Cora the purpose of the output improves formatting quality. Ending with "This is for a client presentation", "for an internal planning doc", or "for an RFP response" prompts Cora to structure results at the right level of detail — summarized for executives vs. granular for planners.

Pro Tip — Use Your Brand Guidelines to Customize Visuals

Paste your brand guidelines into your Cora user instructions. Cora will apply your colors, fonts, and structure to every output. Try:

"Format any artifact using our brand guidelines: primary color #[HEX], secondary color #[HEX], font [Font Name]. Use these colors for headers, table highlights, and callout stats."

You can also reference a brand doc: "Our brand colors are Cobalt Blue (#0B53FF) and Deep Navy (#0C2741). Apply them consistently across all tables and headers in this output." The more specific you are, the closer the result will be to your actual brand.

DTC Planning

DTC Prompts

Size patient universes, build HealthFirst Audiences, map the competitive landscape, and explore channel and device reach — all in one Cora conversation.

DTC — Use Case 1

DTC Audience Planning

Before building a DTC campaign, you need to understand the patient landscape — how many patients have the condition, how many are treated, and where the untapped opportunity lies. Cora uses real-world health data to power this analysis.

1
Sizing a Patient Population
Scenario: Sizing the patient universe for a condition to inform DTC campaign targeting
Goal: Start broad with the full diagnosed universe, layer in treatment and demographic filters, then surface the untreated whitespace — all in one thread.
1
Size the Universe by Diagnosis
"How many patients in the US have been diagnosed with [condition] in the past 12 months? Break down by age group and gender."
Total diagnosed patient universe with demographic breakdown — the foundation of your DTC sizing.
2
Filter by Treatment Status
"Of those patients, how many have been prescribed [drug name or type] in the past 6 months? Show the number actively on treatment vs. diagnosed but untreated."
Treated vs. untreated split — quantifies both the loyal base and the opportunity pool.
3
Multi-Criteria Intersection
"How many patients have [diagnosis] AND a prescription for [drug] AND are between ages 35–65? Show the intersection count."
Precise patient universe at the intersection of diagnosis, treatment, and demographics — ready for segment building.
4
Find Untreated Whitespace
"How many patients diagnosed with [condition] have never received a branded treatment? Show by age cohort and region — this is my untreated whitespace."
Your full untreated whitespace universe — patients who need the therapy but haven’t been reached yet.
Pro Tip — Start Broad, Then Layer

Start with the full diagnosed universe before applying treatment filters. This tells you the total opportunity before you narrow to your competitive window. Ask: "What percentage of diagnosed patients are currently untreated?" to frame the whitespace opportunity in your brief.

DTC — Use Case 2

Building a HealthFirst Audience

HealthFirst Audiences (HFA) are DeepIntent’s privacy-safe DTC segments built from real-world health data. Use Cora to build, size, and compare HFA options before activating in the DSP.

2
Creating a HealthFirst Audience
Scenario: Creating a patient audience for DTC activation using Symphony Health data
Goal: Set patient criteria, size the audience, then build and activate a HealthFirst Audience in DeepIntent's DSP.
1
Set Your Patient Criteria
"Show me how many people are diagnosed with Type 2 Diabetes in the US who have a prescription for [Drug Name]"
Returns an estimated HealthFirst Audience size — ready to activate as a DTC segment in the DSP.
2
Build a HealthFirst Audience
"Use those results and build a HealthFirst Audience"
Cora will ask you to name the audience and then confirm the build. A new HealthFirst Audience — modeled from your seed — is ready to activate as a DTC segment in the DSP the next day.

Please Note: Standard modeling time applies. Your HealthFirst Audience will appear in MyAudiences in the DSP within 24 hours, consistent with the Patient Planner building experience.

DTC — Use Case 3

Competitive & Market Intelligence

Understand who is already on competitive therapy, where switch candidates exist, and how large the untreated whitespace is — in minutes, using Cora.

3
Patient Competitive Analysis
Scenario: Mapping the competitive patient landscape before a DTC launch
Goal: Quantify the competitor’s patient base, surface untreated whitespace, and map the full four-way competitive split — in one conversation.
1
Size the Competitor's Patient Base
"How many patients are currently on [Competitor Drug] for [condition]? Break down by age and gender."
Competitor patient base with demographic profile — establishes the scale of the competitive challenge.
2
Untreated Whitespace
"How many patients diagnosed with [condition] have not been prescribed any branded therapy in the past 12 months? Show by region — these are my whitespace patients."
Regional whitespace map — prioritize markets with high diagnosed-but-untreated populations.
3
The Four-Way Competitive Split
"Show me the four-way split: (1) on [Client Drug] only, (2) on [Competitor Drug] only, (3) on both, (4) on neither. Format as a percentage breakdown table."
The full competitive landscape in one table — ready to drop into a client brief or DTC strategy deck.
Pro Tip — Lead with the Four-Way Split

The four-way competitive split is one of the most compelling slides in a DTC brief. It shows your client exactly where patients are — loyal, competitive, dual-use, or untouched. Ask for it early and use it to anchor your audience strategy.

DTC — Use Case 4

Omnichannel Planning

Identify where your patient audience is most reachable — by geography, demographics, device type, and channel — so your DTC channel recommendations are grounded in real patient data, not assumptions.

4
DTC Channel Strategy
Scenario: Building a DTC channel strategy backed by patient reach data
Goal: Build a demographic profile, identify priority markets by prevalence, find untreated audiences, and compare devices for your DTC media mix.
1
Demographics & Geographic Profile
"What is the demographic breakdown of patients with [condition]? Show age, gender, and top 10 states by patient volume."
Full demographic and geographic profile — the foundation of your DTC audience targeting strategy.
2
Prevalence Index by Market
"Which states have the highest prevalence for [condition] patients? Rank by prevalence and show patient counts."
Prevalence Index rankings by market — focus DTC investment where the condition is most concentrated relative to the local population.
3
Plan a Strategy to Reach Audiences Not on Treatment
"I’m running DTC campaigns for [Drug Name]. Show me patients diagnosed with [condition] who are not taking [Drug Name]. Give me an intelligent dashboard on these DTCs and tactics on how to reach them."
Cora returns a dashboard with audience breakdown and specific tactics to reach them across programmatic and linear TV channels.
4
Device Comparison for Budget Allocation
“Compare mobile vs. desktop vs. CTV reach for patients with [condition] who are on [drug]. Which device shows the highest addressable reach for this patient profile?”
Side-by-side device comparison — supports data-driven budget allocation across DTC channels.
Pro Tip — Lead with Prevalence Index

Use Prevalence Index (not raw patient counts) to identify your highest-priority DTC markets. A market with 10K patients and a high index is a stronger DTC investment than one with 20K patients and a low index — because the condition is over-represented relative to the local population.

DTC — Use Case 5

Dashboard Summary

Combine patient universe sizing, treatment status, top markets, and channel reach into a single structured dashboard — ready for a client presentation or DTC planning brief.

5
DTC Campaign Planning Brief
Scenario: Compiling a patient audience summary for a DTC client brief
1
Build the Patient Dashboard
"Build a patient audience summary for [condition]. Include: (1) total diagnosed patient universe, (2) currently treated vs. untreated, (3) top 5 states. Format as an interactive dashboard."
Structured DTC dashboard with universe, treatment status, and top markets — the core of a patient planning brief.
2
Add Channel & Device Breakdown
"Add channel reach and device breakdown to this dashboard — show estimated reach per channel for this patient audience. Format for a client brief."
Complete DTC dashboard with channel and device reach — ready to drop into a presentation or share as a planning summary.
Pro Tip — Use Your Template

Paste your standard DTC brief structure after the prompt: "Use this template layout: [paste structure]." Cora will populate it with the data it just pulled — no reformatting needed.

DTC — Use Case 6

Visual Results

Get DTC patient data formatted as charts, ranked tables, and exportable grids — ready to paste into a slide deck or Excel without reformatting.

6
DTC Output Formatting
Scenario: Presenting patient data in client-ready charts and tables
1
Demographic Table for Bar Chart
"Show the patient demographic breakdown as a table with age group, gender, and count columns — ready to build a bar chart."
Structured demographic table — paste directly into Excel or Google Sheets to build your chart.
2
Geographic Heat Map Table
"Format the state-by-state patient distribution as a ranked heat map table — state name, patient count, and prevalence index score."
Ranked state table with prevalence index — ready for the geographic section of your DTC brief or media plan.
3
Full DTC Dashboard
"Return all DTC metrics as a structured table with headers so I can paste into Excel. Include patient universe, treatment status, top markets, and channel reach."
Complete structured export — all DTC metrics in a single table ready for offline reporting or client delivery.
Pro Tip — Add Format Instructions to Any Prompt

Add these to any DTC prompt for instant formatting: "Return as a ranked table, highest to lowest" · "Format as a percentage breakdown for a pie chart" · "Table with headers so I can paste into Excel."

Integrated Campaigns

HCP + DTC Together

Plan coordinated HCP and patient campaigns with aligned clinical criteria and shared priority markets — in the same Cora conversation. When both sides share the same data foundation, messaging stays consistent from provider to patient.

Integrated — Use Case 1

Campaign Planning

Integrated campaigns require HCP and patient audiences that are geographically aligned, strategically complementary, and built from the same data foundation. Use Cora to plan both sides of the campaign in a single conversation.

1
Integrated Campaign Planning
Scenario: Aligning HCP and patient targeting for a fully integrated launch campaign
Goal: Size both universes, identify where HCP and patient concentration align by state, and build the data foundation before creating any audience.
1
Compare HCP vs. Patient Universe
"Compare the HCP universe treating [condition] with the diagnosed patient universe. Show both counts side by side in a dashboard — how aligned are our HCP and DTC targets geographically?"
Side-by-side HCP and patient universe comparison with geographic alignment — confirms whether your HCP and DTC markets overlap as expected.
2
Identify Priority Markets for Integrated Investment
"Identify the top 5 markets where both [condition] HCP prescriber volume AND diagnosed patient prevalence are highest. These are our priority markets for integrated investment."
Top markets where HCP and patient opportunity intersect — the foundation of a coordinated HCP + DTC geo-targeting strategy.
Pro Tip — Align Before You Build

Always compare HCP and patient universes by market before building either audience. Misaligned targeting — where your HCP campaign reaches one region and your DTC campaign reaches another — wastes budget and reduces the reinforcement effect that makes integrated campaigns work.

Integrated — Use Case 2

Audience Building

Build both your HCP and patient audiences in a single Cora session — ensuring they share the same clinical criteria, geographic focus, and data source before activation in the DSP.

2
Integrated Audience Build
Scenario: Building coordinated HCP and patient audiences for simultaneous activation
Goal: Build both audiences from the same clinical criteria, then model a patient audience from your HCP target list — for maximum reach alignment.
1
Build Both Audiences Simultaneously
"Build both audiences simultaneously for Advertiser (00000): (1) HCP audience — physicians who diagnose [condition] and prescribe [drug], (2) Patient audience — patients diagnosed with [condition] who are not currently on any [my drug]. Confirm both sizes before creating."
Both audiences sized and created in a single session — HCP and patient segments built from aligned clinical criteria, ready for coordinated DSP activation.
2
Create a Target List HealthFirst Audience
"Build a Healthfirst patient audience for [advertiser (10001)], targeting patients with a high likelihood of visiting HCPs included in the provided target list [Target list_Name]."
HCP-modeled patient audience — patients identified as likely to see the HCPs on the provided target list.
Pro Tip — HCP-Modeled Patient Segments

The most powerful integrated audiences are built backwards from HCP behavior — find the patients your target HCPs are already treating, then build a lookalike DTC audience around them. This creates natural alignment between your HCP and patient campaigns without manual geo-matching.

Quick Reference

Configuring Instructions for Cora

Cora users can further customize their experience by writing specific instructions for Cora to follow each time they query or request visualizations and artifacts.

Working with Multiple Advertiser IDs

"Whenever I request a DSP report, Outcomes report, SEM report, Integrated Impact Report, PLD report, custom report, scheduled report, or any other reporting output, always include all of the following advertiser IDs by default — do not ask me to pick one, and do not fall back to the single advertiser pre-selected in the UI: 12345 — [Advertiser Name]; XXXXX — [Advertiser Name]; XXXXX — [Advertiser Name]; XXXXX — [Advertiser Name] (add one line per advertiser)."

"Rules for applying this scope: If the requested report tool accepts multiple advertiser IDs, pass all of them in a single call. If the tool accepts only one advertiser ID per call, run the report once per advertiser ID above and consolidate the results into a single response (one combined table or one section per advertiser, clearly labeled with the advertiser name and ID). Always label every row, section, chart, and artifact with the advertiser name and ID so results from different advertisers are never ambiguous. Only narrow the scope when I explicitly name a subset in the request (e.g. ‘just for Advertiser 10001’ or ‘only my oncology advertisers’) — in that case, use only the advertisers I named. This default applies to reports only. For audience creation, media planning, campaign setup, and other non-report actions, continue to use the advertiser I specify or the one pre-selected in the UI."

Campaign Troubleshooting — Diagnose, Then Recommend

"When I ask about underperforming KPIs (CTR, pacing, AQ) always decompose it to root cause first (missing CT URL, bid floor) before giving me a recommendation."

Outcomes Caveats

"Before answering an Outcomes question, confirm which report type is active for the advertiser I’m asking about (HCP, DTC, or Integrated) and tell me if the metric I asked for is not available on that report type rather than returning a blank or partial answer."

Scheduling Reports

"When I ask you to build or schedule a report, default the recipient(s) to [email address(es)] and the cadence to [daily/weekly/monthly] unless I say otherwise. For PLD/NPI reports, always confirm the advertiser has PLD configured prior to running it, don’t just attempt it and fail silently."

Specialty Preferences

"Whenever you display a specialty breakdown, use sub-specialty, not major specialty. If Internal Medicine or similar rollup category would dominate the result, break it out into actual sub-specialties instead of grouping them."

Quick Reference

HCP Prompt Library

Click-to-use prompt templates for every HCP planning scenario. Replace bracketed placeholders with your specific condition, drug, or geography.

Basic vs. Better Prompts

Small changes to how you ask make a big difference in the quality and usefulness of Cora’s response. Each example below shows a common basic prompt and an improved version with the key upgrades highlighted.

Basic
"How many HCPs treat atopic dermatitis?"
No data sourceNo output formatNo geography
→
Better
"How many HCPs treat atopic dermatitis in the US? Break it down by specialty and return results as a ranked table, highest to lowest."
+ Data anchor+ Geography+ Output format
Basic
"How many doctors prescribe [Competitor Brand]?"
No condition filterNo data sourceNo comparison
→
Better
"How many HCPs prescribe [Competitor Brand] for [condition]? Of those, how many also prescribe [Client Brand]? Show the overlap as a percentage breakdown table."
+ Data anchor+ Condition context+ Overlap comparison+ Output format
Basic
"Which states have the most HCPs for this condition?"
No drug filterNo countNo use context
→
Better
"What are the top 10 states for HCPs treating [condition] and prescribing [drug]? Rank highest to lowest with state name and HCP count. This is for a client RFP response."
+ Data anchor+ Drug filter+ Ranked output+ Use context
Basic
"Create an audience of dermatologists for my campaign."
No clinical filterNo drug behaviorNo naming convention
→
Better
"Build an audience of dermatologists who diagnose atopic dermatitis (ICD-10: L20) and have prescribed [Client Brand]. Confirm the audience size, then create it as ‘AD_[ClientName]_Derm_2025’ for activation in the DSP."
+ Data anchor+ ICD-10 code+ Drug behavior+ Size check first+ Naming convention
Basic
"What channels should I use to reach these HCPs?"
No audience definedNo output formatNo use context
→
Better
"What channels can reach HCPs who treat [condition] and prescribe [drug]? Rank by unique HCP reach and present as a table. This is for an omnichannel recommendation in an RFP."
+ Data anchor+ Defined audience+ Ranked table output+ Use context
Basic
"Give me a summary for my client meeting."
No condition or drugNo sections definedNo format requested
→
Better
"Build a campaign planning summary for [condition] and [drug]. Include: (1) total HCP universe by specialty, (2) top 10 states by prescriber volume, (3) competitive share breakdown, and (4) channel reach ranked by unique HCPs. Format each with a header and table. This is for a client presentation."
+ Data anchor+ Numbered sections+ Table format+ Audience context

Best-Practice Prompt Library

Click any prompt to copy. Replace bracketed placeholders with your specific condition, drug, or geography.

Audience Sizing
"How many HCPs treat [condition] in the US? Break down by specialty as a ranked table."
"How many dermatologists prescribe [drug]? Show total count and percentage of the specialty."
"What is the HCP universe for ICD-10 [code]? Break it down by specialty and degree type."
"How many NPs and PAs prescribe [drug] for [condition]? Compare to MD/DO volume."
Clinical Insights
"Break down [drug] prescribers by specialty. Return as a ranked table with HCP count per specialty."
"What sub-specialties treat [condition]? Rank by treating HCP volume."
"Which drugs are most commonly prescribed for [condition]? Show as a percentage breakdown table."
Competitive Analysis
"How many HCPs prescribe [competitor drug] for [condition]? Show by specialty as a ranked table."
"What is the prescriber overlap between [drug A] and [drug B] for [condition]? Show as a count and percentage of each brand’s base."
"How many HCPs diagnose [condition] but have not prescribed any biologic? Show whitespace count by specialty."
Geographic Analysis
"Show the top 10 states for HCPs treating [condition] and prescribing [drug]. Rank by HCP volume with state name and count."
"How many [specialty] HCPs treat [condition] in [state]? Compare to the national average for that specialty."
"Compare CA vs. TX vs. FL for [drug] prescriber volume. Return as a side-by-side table."
Channel Planning
"What channels can reach HCPs treating [condition] and prescribing [drug]? Rank by unique HCP reach as a table. This is for an RFP response."
"Which publishers have the highest reach for [specialty] HCPs treating [condition]? Return top 10 ranked by unique HCP reach."
"Compare EHR vs. CTV vs. Display reach for HCPs treating [condition]. Show unique HCP reach per channel side by side."
Audience Building
"Show me my accessible advertiser IDs in DeepIntent Cora."
"Upload this CSV as an HCP target list named [TargetList_Name] for Advertiser ID [AdvertiserID]. Confirm the match rate and flag any NPIs that did not match."
"Build an audience of [specialty] who treat [condition] (ICD-10: [code]) and prescribe [drug]. Confirm the size before creating it."
"Narrow my audience to [state] only. Confirm the updated size and flag if it drops below [X] HCPs."
"Exclude HCPs on target list [ID] from this audience and confirm the new count."
"Create this as an audience called '[ClientName]_[Condition]_[Date]' and confirm it is live in the DSP."
Dashboard & Briefs
"Build a campaign planning summary for [condition] and [drug] — total HCP universe, prescriber subset, top 10 states, channel reach. Format as a dashboard with headers and tables. For a client presentation."
"Format all results above as a shareable executive brief. Lead with key stats, then supporting tables."
"Return all metrics in a table with column headers so I can paste directly into a slide or Excel."
"Use my style guide: [paste style guide]. Format all output using my brand colors, fonts, and structure."
Visual Output
"Present this as a ranked table, highest to lowest, with a total row at the bottom."
"Format as a percentage breakdown with brand name, HCP count, and % of total — ready to build a pie chart."
"Return all data in a table with labeled column headers so I can paste into Excel and build a chart."
"This is for a client presentation — format with clear section headers, data tables, and key callout stats."
Reference Lookups
"Look up all ICD-10 codes for [condition] and return them as a table with code and description."
"What's the generic name and drug class for [brand drug]?"
"Find the CPT code for [procedure] and confirm the full description."
Quick Reference

DTC Prompt Library

Click-to-use prompt templates for DTC patient planning scenarios. Replace bracketed placeholders with your specific condition, drug, or geography.

Patient Universe
"How many patients in the US have been diagnosed with [condition] in the past 12 months? Break down by age group and gender."
"Of those patients, how many have been prescribed [drug] in the past 6 months? Show treated vs. untreated."
"How many patients diagnosed with [condition] have never received a branded treatment? Show by age cohort and region."
"What is the four-way patient split: on [Client Drug] only, on [Competitor Drug] only, on both, on neither?"
Demographics & Geography
"What is the demographic breakdown of patients with [condition]? Show age, gender, and top 10 states by patient volume."
"Which DMAs or states have the highest prevalence index for [condition] patients? Rank by index score and show patient counts."
"Compare patient universe size for [condition] across CA, TX, FL, and NY. Return as a side-by-side table."
DTC Channel & Device
"What digital channels show the highest reach among patients diagnosed with [condition]? Break down by device type and show estimated reach per channel."
"Compare mobile vs. desktop vs. CTV reach for patients with [condition] who are on [drug]. Which device shows the highest addressable reach?"
"Which publishers or apps have the highest reach for patients diagnosed with [condition]? Return top 10 ranked by estimated patient reach."
HealthFirst Audience
"Build a HealthFirst Audience of patients diagnosed with [condition] in the past 12 months. What is the estimated audience size?"
"Refine the HealthFirst Audience to include patients who have [condition] AND [comorbidity]. Show the intersection size before building."
"Build a HealthFirst patient audience modeled on the prescribing behavior of top HCPs treating [condition]."
Integrated HCP + DTC
"Compare the HCP universe treating [condition] with the diagnosed patient universe. Show both counts side by side — how aligned are our targets geographically?"
"Identify the top 5 markets where both HCP prescriber volume AND diagnosed patient prevalence are highest for [condition]."
"Build both audiences: (1) HCP audience — physicians who diagnose [condition] and prescribe [drug], (2) Patient audience — diagnosed patients not currently on branded therapy. Confirm both sizes before creating."
Upload Requirements

Lists Format Guide

When uploading HCP target lists or ZIP code lists to Cora, your file must follow these exact specifications. Column headers are case-sensitive.

List TypeSupported FormatRequired ColumnOptional ColumnsMax ColumnsNotes
HCP Target ListXLSX, CSV, GSheet (via MCP)NPIRequiredUp to 3 custom columns (e.g. Region, Tier)4 totalHeader must read exactly NPI. Custom columns can narrow the audience later.
ZIP Code ListXLSX, CSV, GSheet (via MCP)ZipcodeRequiredRadiusRequired2 onlyUsed for geographic radius targeting around specific zip codes.
After Upload — Next Steps

Once your list is uploaded, continue the conversation to explore channel reach, compare against competitor prescriber profiles, or refine with exclusion filters. The entire planning-to-activation workflow happens in one place — no need to leave your AI tool.

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