Key Features

Ask smarter. Plan faster. Activate with confidence.

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

Audience PlanningCompetitive IntelligenceDashboard PromptsHelix 3 DataOmnichannelMarket Analysis
Getting Started

Your First Conversation

Once Helix AI is connected, just talk to it like a knowledgeable colleague. No query language, no dashboards to navigate — just plain English questions. Helix AI translates your intent into the right API calls behind the scenes.

"How many dermatologists in the US are treating atopic dermatitis? Use DeepIntent Helix data only."
"What's the total addressable HCP universe for EoE? Pull from Helix and break it down by specialty."
"Look up the ICD-10 codes for chronic sinusitis using Helix reference data."
"Which drugs are most commonly prescribed for atrial fibrillation? Use DeepIntent Helix prescribing data."
Prompt Fundamentals

Specifying DeepIntent Helix as Your Data Source

Helix AI has access to multiple tools and knowledge sources. To ensure your results are grounded in DeepIntent's proprietary HCP data — not general AI knowledge — add an explicit data anchoring phrase to your prompts.

Why This Matters

Without anchoring phrases, Helix AI may blend general medical knowledge with Helix data when answering. For audience sizing, competitive analysis, and channel reach queries, always anchor to DeepIntent Helix so every number you share with a client is sourced from verified HCP data.

Adding an anchor phrase takes two seconds and eliminates any ambiguity about where the data came from.

Use these anchoring phrases — click any to copy:

"Using DeepIntent Helix data only, [your question]"Recommended
"Pull this from the Helix dataset — do not use general knowledge. [your question]"Strict
"This is a Helix query: [your question]"Shorthand
"Use only DeepIntent data for this analysis. [your question]"Analysis
"Confirm this answer is sourced from DeepIntent Helix before responding. [your question]"Verification
Prompt Fundamentals

Qualifying Data & Verifying Sources

Before acting on any Helix AI answer, it's good practice to confirm which data powered the response. These prompts and techniques help you verify that Helix is drawing from DeepIntent's proprietary HCP data — not general AI knowledge — and let you course-correct if it isn't.

Why Qualification Matters

Helix AI is a multi-source system. In some workflows it may combine DeepIntent platform data, claims data, NPI registries, and general medical knowledge. When you're presenting audience sizes, competitive insights, or reach figures to a client, every number should be traceable to a specific Helix dataset — not inferred from training data.

Use the prompts below to ask Helix to declare its sources, double-check the data vintage, and lock future responses to a single authoritative source.

Step 1 — Ask Helix to Declare Its Sources

After any response that includes a number or audience size, follow up with one of these:

"What data source did you use to generate that number? Please confirm it came from DeepIntent Helix."Source Check
"Before I share this with a client — can you confirm this is based on DeepIntent HCP data, not general knowledge?"Client-Ready
"Cite your data source for this response. If any part came from outside DeepIntent Helix, flag it clearly."Audit
"How recent is the Helix data behind this answer? What is the data vintage?"Data Freshness

Step 2 — Lock the Conversation to Helix-Only

Add one of these at the start of your session or any time you want to set a firm data constraint:

"For this entire conversation, only use DeepIntent Helix data. Do not draw on general medical knowledge or external sources. If the answer requires information outside Helix, tell me rather than estimating."Session Lock
"Restrict all responses to DeepIntent platform data only. If you cannot answer from Helix alone, say so explicitly."Strict Mode
"I only want Helix-sourced data in this session. Label each data point with its Helix source so I can reference it later."Label Mode

Step 3 — Spot the Warning Signs

Watch for these signals that Helix may not be using proprietary data:

Yellow Flag

Helix gives a round number like "approximately 50,000 HCPs" without a breakdown — it may be estimating from general knowledge.

Red Flag

The response includes caveats like "based on published literature" or "estimated from national registries" — this is not DeepIntent Helix data.

Good Sign

Helix returns precise figures with specialty breakdowns, NPI counts, or addressable reach percentages — these are signatures of real Helix data.

Pro Tip

End every audience query with: "Show the specialty breakdown." If Helix has real data, it can always break it down. If it can't, that's your signal to re-anchor.

Recovery Prompt: If you suspect Helix used general knowledge, say: "Please rerun this using only data from the DeepIntent Helix platform. Disregard any answer that relied on external sources."
HCP Planning

HCP Prompts

Size HCP audiences, build segments from Helix queries or NPI target lists, map 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? Helix AI 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
"Using DeepIntent Helix data only: 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
"For Internal Medicine, what is the sub-specialty breakdown? Helix data only."
~54K total Internal Medicine HCPs — Family Medicine (38.1K), Internal Medicine general (9.9K), Hospitalist (1.3K), and more.
3
Drill Into Your Target Specialty
"Of those, how many are physicians who also prescribe a biologic for atopic dermatitis? Helix data only."
Physicians (MD/DO) within Internal Medicine treating AD and prescribing a biologic: 2,546 — about 4.7% of the 54,134 IM HCPs.
4
Geographic Breakdown
"Show me the top 10 states for all HCPs who also prescribe a biologic for atopic dermatitis, ranked by HCP volume."
CA (1,996) · NY (907) · TX (784) · FL (719) · OH (477) · MI (475) — top states for biologic prescribers treating AD.
Pro Tip — Combine Conditions

Intersect multiple conditions in a single question: "How many HCPs treat both asthma AND nasal polyps and prescribe [Client Brand]? Use Helix data only." Helix AI creates the intersection automatically — no manual data joins needed.

HCP — Use Case 2

Building an HCP Audience

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

4
Strategy to Activation in One Thread
Scenario: Building an AD campaign audience targeting top prescribers in high-density markets
1
Define the Clinical Profile
"Using DeepIntent Helix data: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? Use Helix data only."
Helix 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 called 'AD_[ClientName]_Top5States' for activation in DeepIntent's DSP."
Helix calls the audience creation API and returns an Audience ID — available immediately in DeepIntent's DSP under My Audiences.
Pro Tip — Art + Science

When building audiences, balance specificity with reach. Too many filters = narrow audience, limited scale. Too few = broad, inefficient spend. Ask Helix: "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 it to HCP Planner and query it directly through Helix AI — including match rate, prescribing behavior, and audience activation.

5
NPI List to Live Audience
Scenario: Brand team has a CSV of 14,000+ high-priority NPIs they want to target
Before You Upload — Three Things to Confirm
1

CSV Header Format

The NPI column header must be exactly: NPI (all caps, case-sensitive). Helix will reject files with headers like "Npi", "npi", or "Npi#". Fix it in Excel or Google Sheets before uploading.

2

File Size & Upload Method

Files larger than ~20KB (roughly 1,600+ NPIs) must be uploaded via the Helix File Manager widget before prompting — drop your CSV and click "Upload to Server," then reference the filename in your prompt. Files under 20KB can be pasted inline or referenced directly.

3

Your Advertiser ID

You'll need your numeric Advertiser ID for both upload and audience creation. If you don't know it, start with this prompt:

"Show me my accessible advertiser IDs in DeepIntent Helix."
1
Upload the List & Check Match Rate
"Upload this CSV as an HCP target list. Name it [TargetList_Name] for Advertiser ID [AdvertiserID]. Once uploaded, show me the match rate — how many of the NPIs were found in the DeepIntent Helix dataset?"
Helix confirms upload and returns the 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? Use Helix data only."
Helix 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 target list '[TargetList_Name]' are currently writing [Client Brand]. Use Helix data to validate."
Helix 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 target list '[TargetList_Name]' for activation in the DSP for Advertiser [AdvertiserID]."
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 75–90%+. If yours is lower, ask Helix: "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

Identify your position in the competitive landscape — from sizing competitor prescriber bases and finding convertible overlap to mapping true whitespace and tracking year-over-year market trends.

2
Finding Competitive Whitespace
Scenario: Client launching a new CSU treatment needs to identify untapped market opportunity
Goal: Quantify the competitor's prescriber base, identify the overlap with your client's brand, and surface HCPs who haven't prescribed any biologic — your whitespace.
1
Size the Competitor's Prescriber Base
"Using DeepIntent Helix data only: How many HCPs prescribe [Competitor Brand] for urticaria?"
4,800 HCPs prescribing [Competitor Biologic] who also diagnose urticaria.
2
Identify Overlap — HCPs You Can Flip
"Of those [Competitor Brand] prescribers, how many also prescribe [Client Brand]?"
Helix crosses the two drug filters and returns the overlap count — these are 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]? Pull from Helix data only."
HCPs in the diagnosis universe who haven't written for either biologic — your full untapped potential.
Pro Tip — Sub-Specialty Breakdown

Ask for 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.

Market Analysis & Landscape Mapping

Build a full market picture — share of prescribing, whitespace mapping, and specialty growth trends — anchored in DeepIntent HCP data.

7
Full Competitive Landscape Analysis
Scenario: Brand team needs a market landscape report for a new-to-market product before campaign launch
1
Size the Market (Helix 3)
"Using DeepIntent Helix data only:What is the total HCP universe treating [condition]? Break it down by specialty and degree type. Format as a market sizing table."
Complete specialty breakdown with MD/DO/NP/PA splits — the foundation of your market sizing.
2
Map Share of Prescribing
"Of those HCPs treating [condition], how many prescribe [Brand A], [Brand B], [Brand C], and generic alternatives? Show the distribution as a market share breakdown."
A four-way split showing the competitive prescribing landscape — who owns the market and where the gaps are.
3
Identify True Whitespace
"Identify HCPs who diagnose [condition] but have not prescribed any branded treatment in the past 12 months. Use DeepIntent Helix data. How large is this untapped segment?"
The true whitespace universe — HCPs your client can own without directly competing for already-committed prescribers.
4
Identify Growth Specialties
"Which specialties show the highest growth in [condition] diagnoses year-over-year? Use Helix to compare current vs. prior year. Highlight the top 3 growth segments."
Year-over-year growth data by specialty — helps you focus budget on rising segments before competitors do.
5
Summarize for Client Delivery
"Compile all of this into a market landscape summary: total market size, competitive share breakdown, whitespace opportunity, and growth specialties. Format as an executive summary. Cite DeepIntent Helix as the data source."
A complete, citation-ready market analysis brief — ready for a client presentation or internal strategy document.
Pro Tip — Cite Your Source

End your market analysis prompt with "Cite DeepIntent Helix as the data source" or "Note the data vintage in your response." This gives your client-facing deliverables the credibility of a sourced, validated dataset — not just AI-generated estimates.

HCP — Use Case 5

Omnichannel Planning

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

3
Data-Backed Channel Recommendations
Scenario: RFP asks for budget recommendations across key activation channels
1
Channel Reach by Audience
"Using DeepIntent Helix data: 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 EHR reach vs. CTV reach vs. Display for this audience. Which channels offer the best reach-to-cost ratio for this HCP profile?"
Helix returns a 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 decks.

6
One Prompt, Client-Ready Summary
Scenario: Building a structured campaign planning brief for a client meeting in under 10 minutes
Key Tip: Use output formatting phrases like "format as a dashboard summary", "structure as a campaign brief", or "return this in a table" to get organized, client-ready output instead of a conversational paragraph response.
1
Request the Full Overview
"Using DeepIntent Helix data only: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."
Helix 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."
Helix 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 brief with a key metrics table, competitive landscape, and channel recommendation. This is for a client meeting."
Helix produces a structured brief you can 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 using DeepIntent Helix data only, and format the output to match my template layout."
Paste your template structure (section headers, table format, any placeholder text) directly into the chat after this prompt. Helix 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. At the start of any Helix session, paste it with: "This is my standard planning brief format. Use it for all output in this conversation." Helix will apply your structure to every response 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 Helix 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, Helix may return results as a flowing conversation rather than a scannable layout.

HCP — Use Case 7

Visual Results

Helix AI 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. The right output format turns a data answer into a story.

8
From Numbers to Visuals
Scenario: You need client-presentable charts and tables without switching tools
Key principle: Helix AI responds to explicit formatting instructions. Telling it 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
Bar or 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."
Helix returns a formatted ranked chart — specialties listed highest to lowest with HCP counts. Ready to screenshot or export.
2
Heat Map — Geographic Distribution
"Show me the geographic distribution of HCPs prescribing [drug] across all 50 states. Present this as a heat map table ranked highest to lowest, with state name and HCP count."
A state-by-state ranked table formatted for easy scanning — ideal for dropping into a geographic targeting section of a media plan.
3
Pie / Share Breakdown — Competitive Market
"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 to generate the chart.
4
Channel Reach Chart — Omnichannel Visualization
"What channels can reach HCPs treating [condition] who prescribe [drug]? Present as a horizontal bar chart sorted by unique HCP reach, highest to lowest."
Channel names and unique HCP reach counts returned in a visually ordered list — perfect for an omnichannel slide.
5
Full Dashboard Output — One Prompt
"Using DeepIntent Helix data: 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 clear header and table. This is for a client presentation."
A full four-section structured dashboard — ready to copy into a planning doc, client brief, or deck with minimal reformatting.

Output Format Cheat Sheet — Add to any prompt:

"Present this as a ranked table, highest to lowest."
"Format this 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 Helix Who the Audience Is

Telling Helix 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 Helix 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

When you need output that matches your client's or company's visual style, paste your brand guidelines directly into the prompt. Helix will apply colors, fonts, and structure to match. Try:

"Format this output using our brand guidelines: primary color #[HEX], secondary color #[HEX], font [Font Name]. Use these colors for headers, table highlights, and callout stats. Return the result as a structured table ready for a client presentation."

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.

Direct to Consumer

DTC Patient Planning

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

DTC — Use Case 1

DTC Audience Planning

Before building any DTC audience, size your patient population. Helix AI lets you query by diagnosis, treatment, procedure, and clinical intersection — then surface untreated whitespace in a single conversation.

9
Sizing a Patient Population
Scenario: Planning a T2D campaign and need to size the patient universe before building audiences
Goal: Start broad with a diagnosis-level universe, layer in drug and procedure filters, then surface the untreated population — all in one thread.
1
Size by Diagnosis
"What is the total patient population for Type 2 diabetes in the US? Use DeepIntent Helix data."
Helix returns the total diagnosed patient universe — the baseline number for all downstream audience sizing.
2
Filter by Treatment
"Of those T2D patients, how many are currently prescribed a GLP-1 therapy? Use DeepIntent Helix data."
Helix applies the drug filter to the diagnosed population — showing what share is already on treatment.
3
Multi-Criteria Intersection
"How many patients have both a Type 2 diabetes diagnosis AND a GLP-1 prescription AND an A1C test in the past 12 months? Use Helix data."
The intersection of diagnosis + drug + procedure — your most engaged, highest-value patient segment.
4
Find Untreated Whitespace
"How many T2D patients are NOT currently on any GLP-1 therapy? These are my untreated or newly diagnosed patients. Use Helix data."
The untreated whitespace population — patients your client can reach before a competitor does.
Pro Tip — Layer Your Criteria

Start broad, then add filters one at a time to see how each layer affects reach. Ask: "What happens to my audience size if I add the GLP-1 filter?" before committing. This prevents over-targeting surprises and gives you a defensible reach story for your client.

DTC — Use Case 2

Building a HealthFirst Audience (HFA)

A HealthFirst Audience (HFA) is DeepIntent's privacy-safe, clinically-verified patient targeting segment — built directly from your diagnosis, drug, and procedure criteria and immediately available for DTC activation in the DSP.

12
Creating a HealthFirst Audience
Scenario: T2D campaign ready for activation — build and compare HFAs from clinical criteria
Goal: Build a HealthFirst Audience from clinical criteria, compare IQVIA and Symphony Health versions, and activate in DeepIntent's DSP.
1
Create a Basic HFA
"Build a DTC audience for patients diagnosed with atopic dermatitis (ICD-10: L20) who are currently prescribed a biologic. Use DeepIntent Helix."
Helix builds the HFA from your clinical criteria and confirms the segment size before activation.
2
Multi-Criteria HFA
"I want to create an HFA for my T2D campaign. Criteria: E11 diagnosis + GLP-1 prescription + A1C procedure. Build it using DeepIntent Helix."
Multi-criteria HFA built and confirmed — the most clinically precise patient targeting available in the DSP.
3
Compare IQVIA vs. Symphony Health
"Build a HealthFirst DTC Audience for psoriasis patients — I want both the IQVIA and Symphony Health versions. Compare them: show size, AQI score, and estimated CPM for each. Use DeepIntent Helix."
Side-by-side HFA comparison — size, quality index, and CPM across both data providers so you can choose the right one for this campaign.
Pro Tip — Always Compare Both Sources

Before activating, always build both the IQVIA and Symphony Health versions of your HFA and compare. Ask: "Which HFA gives me the best balance of size, AQI, and CPM for this campaign?" One source may have stronger coverage in your target condition — the comparison takes seconds and can meaningfully affect campaign performance.

DTC — Use Case 3

Competitive & Market Intelligence

Understand how your patient audience maps against the competitive landscape — who is already treated, who is on a competitor drug, and where the untreated whitespace lives.

3
Patient Competitive Analysis
Scenario: Identify competitor-treated patients, untreated whitespace, and switch opportunities
Goal: Quantify the competitor's patient base, find switch candidates, surface untreated whitespace, and map comorbidities — in one conversation.
1
Size the Competitor's Patient Base
"How many patients are currently prescribed [Competitor Drug] for [condition]? Use DeepIntent Helix."
The competitor's current treated patient base — your conquesting target universe.
2
Find Switch Candidates
"What is the size of the patient population with [condition] on [Competitor Brand] and NOT on [Client Brand]? Use Helix data."
Patients exclusively on a competitor — your highest-priority DTC switch audience.
3
Identify Untreated Whitespace
"How many [condition] patients have NOT been prescribed any [drug class]? These are my untreated whitespace patients. Use Helix data."
The untreated patient population — patients your client can reach before any competitor does.
4
Four-Way Competitive Split
"Show me a four-way competitive split for [condition] — [Client Brand] only, [Competitor Brand] only, both, and neither. Use Helix data."
A complete competitive picture in one prompt — the full story of where your brand sits in the treated patient universe.
Pro Tip — Comorbidity Targeting

For conditions with common comorbidities (T2D + cardiovascular, asthma + nasal polyps), ask: "Show me patients with comorbid [condition A] and [condition B]. Use Helix data." Comorbid patients are often the highest-value DTC audience — they see specialists more frequently and are more likely to be actively managed.

DTC — Use Case 4

Omnichannel Planning & Device Insights

Know where your patient audience spends their time. Helix maps channel reach and device behavior for any patient segment — so your media mix is grounded in data, not assumptions.

10
Demographic & Market Profiling
Scenario: Building a T2D DTC plan and need to identify priority demographics and markets
Goal: Build a demographic profile of your patient population, map state-level volume, and use Prevalence Index to find the highest-concentration markets.
1
Demographic Breakdown
"Break down the Type 2 diabetes patient population by age group and gender. Use DeepIntent Helix data — format as a dashboard table."
Age band and gender split — informs creative strategy, channel mix, and messaging tone for the campaign.
2
State-Level Volume
"Which states have the highest number of Type 2 diabetes patients? Use Helix data — show top 10 with volume ranked highest to lowest."
Top 10 states by raw patient volume — the starting point for geographic budget allocation.
3
Prevalence Index Analysis
"What is the Prevalence Index for Type 2 diabetes in California? Use DeepIntent Helix. Then show me which states have an above-average Prevalence Index compared to the national average."
States where T2D concentration exceeds the national average — often the most efficient markets for DTC spend.
4
Prioritize Markets
"Which states should I prioritize for my T2D campaign based on BOTH high patient volume AND above-average Prevalence Index? Use Helix data and return as a ranked table."
A ranked shortlist of markets that combine scale and efficiency — the foundation of a defensible geo-targeting strategy.
Pro Tip — Volume vs. Concentration

A high-volume state isn't always the most efficient. A Prevalence Index above 1.0 means that state has a higher-than-average concentration of your patient population — often a better ROI signal than raw volume alone. Use both metrics together to build a market prioritization story clients find compelling.

Channel & Device Insights

Device behavior shapes channel weighting — especially for older patient populations where CTV and desktop over-index significantly.

11
Channel & Device Planning for DTC
Scenario: COPD campaign needs channel and device guidance before finalizing media mix
Goal: Identify which channels can reach your patient audience, rank them by unique patient reach, and understand the device breakdown to inform channel weighting.
1
Channel Reach by Patient Audience
"What channels can I use to reach Type 2 diabetes patients? Use DeepIntent Helix data — rank by unique patient reach as a table."
Channel breakdown ranked by unique patient reach — Display, CTV, OLV, Native, Audio, and DOOH with patient counts for each.
2
Channel Comparison
"For my T2D patient audience, compare CTV vs. Display vs. OLV reach. Which channel offers the best reach for this patient profile? Use Helix data."
Side-by-side channel comparison — supports budget allocation recommendation with data behind each channel choice.
3
Device Behavior
"For my COPD patient audience which skews older, show me the device breakdown — desktop vs. mobile vs. CTV. Do they over-index on CTV? Use DeepIntent Helix data."
Device-level breakdown — confirms whether CTV is the dominant screen for this patient segment before committing budget.
Pro Tip — Age Drives Device

Patient populations aged 55+ consistently over-index on CTV and desktop. Always pull a device breakdown before finalizing channel mix — for older condition audiences like COPD, heart failure, or T2D, shifting budget toward CTV can meaningfully improve reach efficiency.

DTC — Use Case 5

Dashboard Summary

Combine patient universe, demographics, geographic distribution, and channel reach into a single structured output — ready for a client meeting or RFP response.

5
DTC Campaign Planning Brief
Scenario: Pulling a complete DTC overview for a client presentation in under 10 minutes
1
Request the Full DTC Dashboard
"Using DeepIntent Helix: Build a DTC summary for [condition] — (1) patient universe, (2) age/gender, (3) top 10 states, (4) Prevalence Index, (5) channel reach. Format as a dashboard. For a client presentation."
All five metrics in a structured format — ready to drop into a client slide or brief.
2
Export as Client Brief
"Format all results as a shareable DTC campaign brief — key patient stats, competitive context, priority markets, and channel recommendations. For a client presentation."
A structured DTC brief ready to share — organized from overview to activation recommendation.
Pro Tip — Use Your Template

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

DTC — Use Case 6

Visual Results

Format patient data as ranked tables, heat maps, and percentage breakdowns — ready to paste into a client deck or spreadsheet without any reformatting.

6
DTC Output Formatting
Scenario: Turning patient data into client-presentable visuals without leaving Helix AI
1
Demographics Table
"Present the patient demographic breakdown as a table — age bands in rows, gender split in columns, total counts and percentages."
A formatted demographics table — paste directly into Excel or a client presentation.
2
State Heat Map
"Format state-level patient volume as a heat map table — state name, patient count, and Prevalence Index, ranked highest to lowest."
A geographic heat map table — ready for the market targeting section of any DTC brief.
3
Full Visual Dashboard
"Using DeepIntent Helix: Visual DTC dashboard for [condition] — age/gender table, top 10 states with Prevalence Index, competitive share %, channel reach ranked by unique patients. Headers and tables. For a client presentation."
A four-section visual dashboard — ready to copy into a planning doc or client deck.
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 Helix AI conversation. When both sides share the same data foundation, messaging stays consistent from provider to patient.

Integrated — Use Case 1

Campaign Planning

Compare HCP and patient universes, identify shared priority markets, and build a single integrated data brief — all in one Helix conversation before a single audience is created.

1
Integrated Campaign Planning
Scenario: T2D campaign — compare HCP and patient universes, align priority markets before building audiences
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
"For my Type 2 diabetes campaign, compare the HCP prescriber universe vs. the total patient population. Use DeepIntent Helix data."
Side-by-side comparison of HCP reach vs. patient reach — sets the scale of the integrated opportunity.
2
Align Priority Markets
"Show me how the T2D patient Prevalence Index compares to the HCP Prescriber Index by state — where do they align? Use Helix data."
Markets where both HCP and patient concentration are high — these are your integrated campaign priority states.
Pro Tip — Align Markets First

Before building any audience, ask Helix to show you where HCP Prescriber Index and patient Prevalence Index are both above average in the same states. These are your highest-priority integrated markets — where both sides of the campaign can run efficiently.

Integrated — Use Case 2

Audience Building

Build coordinated HCP and patient audiences with shared clinical criteria in a single Helix session — then activate both in DeepIntent's DSP. For the most powerful integrated approach, model your patient audience directly from your HCP target list.

2
Integrated Audience Build
Scenario: Build HCP and patient audiences from the same clinical criteria and activate in DSP
Goal: Build both audiences from the same ICD-10 anchor, then model a patient audience from your HCP target list — for maximum reach alignment.
3
Build Both Audiences Together
"Using DeepIntent Helix: I'm running an integrated T2D campaign. Build me an HCP audience of endocrinologists and high-prescribing PCPs AND a patient HealthFirst Audience — same E11 diagnosis criteria for both. Use DeepIntent Advertiser [AdvertiserID]."
Both audiences built in one conversation — HCP and patient segments share the same ICD-10 anchor for messaging consistency.
4
HCP-Modeled Patient Audience
"Build a HealthFirst audience modeled off my target list [TargetList_Name] that I am uploading — I want to reach patients who see those providers. Use DeepIntent Helix."
A patient HFA built around the same providers on your HCP target list — reach the patients of the HCPs you're already targeting.
Pro Tip — Same Criteria, Both Sides

Always align HCP and patient targeting on the same ICD-10 codes from the start. When both audiences share the same clinical foundation, your creative messaging can be coordinated end-to-end. The HCP-modeled patient audience closes the loop — you're reaching patients of the exact HCPs you're already targeting.

Reference

HCP Prompt Library

Every prompt below follows best practices — anchored to DeepIntent Helix data and formatted for a clear, client-ready response. Click any prompt to copy it.

Basic vs. Better Prompts

Small changes to how you ask make a big difference in the quality and usefulness of Helix's response.

Basic
"How many HCPs treat atopic dermatitis?"
No data sourceNo output formatNo geography
Better
"Using DeepIntent Helix data only: How many HCPs treat atopic dermatitis in the US? Break it down by specialty and return the 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
"Using DeepIntent Helix data: 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 count specifiedNo use context
Better
"Using DeepIntent Helix data: 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
"Using DeepIntent Helix data: 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 definitionNo output formatNo use context
Better
"Using DeepIntent Helix data: 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
"Using DeepIntent Helix data only: 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
"Using DeepIntent Helix data only: How many HCPs treat [condition] in the US? Break down by specialty as a ranked table."
"Using DeepIntent Helix data: How many dermatologists prescribe [drug]? Show total count and percentage of the specialty."
"Using DeepIntent Helix data only: What is the HCP universe for ICD-10 [code]? Break it down by specialty and degree type."
"Using DeepIntent Helix data: How many NPs and PAs prescribe [drug] for [condition]? Compare to MD/DO volume."
Clinical Insights
"Using DeepIntent Helix data: Break down [drug] prescribers by specialty. Return as a ranked table with HCP count per specialty."
"Using DeepIntent Helix data only: What sub-specialties treat [condition]? Rank by treating HCP volume."
"Using DeepIntent Helix data: Which drugs are most commonly prescribed for [condition]? Show as a percentage breakdown table."
Competitive Analysis
"Using DeepIntent Helix data: How many HCPs prescribe [competitor drug] for [condition]? Show by specialty as a ranked table."
"Using DeepIntent Helix data: What is the prescriber overlap between [drug A] and [drug B] for [condition]? Show as a count and percentage of each brand's base."
"Using DeepIntent Helix data only: How many HCPs diagnose [condition] but have not prescribed any biologic? Show whitespace count by specialty."
Geographic Analysis
"Using DeepIntent Helix data: Show the top 10 states for HCPs treating [condition] and prescribing [drug]. Rank by HCP volume with state name and count."
"Using DeepIntent Helix data: How many [specialty] HCPs treat [condition] in [state]? Compare to the national average for that specialty."
"Using DeepIntent Helix data: Compare CA vs. TX vs. FL for [drug] prescriber volume. Return as a side-by-side table."
Channel Planning
"Using DeepIntent Helix data: What channels can reach HCPs treating [condition] and prescribing [drug]? Rank by unique HCP reach as a table. This is for an RFP response."
"Using DeepIntent Helix data: Which publishers have the highest reach for [specialty] HCPs treating [condition]? Return top 10 ranked by unique HCP reach."
"Using DeepIntent Helix data: 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 Helix."
"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."
"Using DeepIntent Helix data: 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
"Using DeepIntent Helix data only: Build a campaign planning summary for [condition] and [drug] — total HCP universe, prescriber subset, top 10 states, channel reach. Format as a dashboard. 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 to format results so I can add to a deck."
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."
DTC Prompt Library

DTC Quick Reference

Click any prompt to copy. All templates are anchored to DeepIntent Helix data — replace bracketed placeholders with your condition, drug, or geography.

Patient Universe
"What is the total patient population for [condition] in the US? Use DeepIntent Helix data."
"How many patients are currently prescribed [drug] for [condition]? Use Helix data."
"How many patients have both a [condition] diagnosis AND a [drug] prescription AND a [procedure] in the past 12 months? Use Helix data."
"How many [condition] patients are NOT currently on any [drug class]? These are my untreated whitespace patients. Use Helix data."
"Find patients currently prescribed [Competitor Drug] for [condition]. Use DeepIntent Helix — show count and specialty breakdown."
Demographics & Geography
"Break down the [condition] patient population by age group and gender. Use DeepIntent Helix — format as a dashboard table."
"What percentage of my [condition] patient universe is aged 65 or older? Use Helix data."
"Which states have the highest number of [condition] patients? Use Helix data — show top 10 ranked by volume."
"What is the Prevalence Index for [condition] in [state]? Then show me all states with an above-average Prevalence Index. Use DeepIntent Helix."
"Which states should I prioritize for my [condition] campaign based on BOTH high patient volume AND above-average Prevalence Index? Use Helix data — return as a ranked table."
DTC Channel & Device
"What channels can I use to reach [condition] patients? Use DeepIntent Helix data — rank by unique patient reach as a table."
"For my [condition] patient audience, compare CTV vs. Display vs. OLV reach. Which channel offers the best reach? Use Helix data."
"Show me the device breakdown for my [condition] patient audience — desktop vs. mobile vs. CTV. Use DeepIntent Helix data."
"For my [condition] audience (which skews older), do they over-index on CTV? Use Helix data."
HealthFirst Audience
"Create a HealthFirst Audience for patients with [condition]. Use DeepIntent Helix."
"Build a DTC audience for patients diagnosed with [condition] (ICD-10: [code]) who are prescribed a [drug class]. Use DeepIntent Helix."
"Build a HealthFirst DTC Audience for [condition] — IQVIA and Symphony Health versions. Compare size, AQI, and estimated CPM. Use DeepIntent Helix."
"I want to create an HFA for my [condition] campaign. Criteria: [ICD-10] diagnosis + [drug] prescription + [procedure]. Build it using DeepIntent Helix."
Integrated HCP + DTC
"For my [condition] campaign, compare the HCP prescriber universe vs. the total patient population. Use DeepIntent Helix data."
"Show me how the [condition] patient Prevalence Index compares to the HCP Prescriber Index by state — where do they align? Use Helix data."
"Using DeepIntent Helix: Build an HCP audience of [specialty] AND a patient HealthFirst Audience — same [ICD-10] criteria for both. Use DeepIntent Advertiser [AdvertiserID]."
"Build a HealthFirst audience modeled off my target list [TargetList_Name] — I want to reach patients who see those providers. Use DeepIntent Helix."
"Which states are high-priority for BOTH my HCP and DTC [condition] audiences? Use Helix data."
Upload Requirements

CSV Format Guide

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

List TypeRequired ColumnOptional ColumnsMax ColumnsNotes
HCP Target ListNPIRequiredUp to 3 custom filter columns (e.g., Region, Tier)4 totalHeader must read exactly NPI — case-sensitive. Custom columns used to narrow audience later.
ZIP Code Target ListZipcodeRequiredRadiusRequired2 onlyBoth Zipcode and Radius are case-sensitive. Used for geographic radius targeting.
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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