To use audience analytics in a brand pitch, choose a small number of metrics that answer the sponsor’s real question: can this creator reach and influence people who are relevant to our campaign? Lead with the audience connection, support it with recent platform data, and explain what the numbers mean for the proposed content.
A screenshot dump is not persuasive on its own. A useful pitch turns analytics into a clear commercial argument without exaggerating what the data can prove.
Start with the campaign question
Different campaigns need different evidence. A brand launching in one country may care about audience location. A product aimed at a particular life stage may care about age distribution and the subjects viewers discuss. A campaign built around a detailed tutorial may care more about watch time, retention and repeat viewing than a single post’s total views.
Before choosing metrics, write one sentence:
The brand needs a creator who can [reach or influence whom] through [which type of content] in order to [support which campaign objective].
Every number in the pitch should help answer that sentence. If a metric does not change the brand’s understanding of fit, leave it in your supporting report rather than placing it in the opening email.
Build a three-part evidence stack
A strong audience section normally combines three kinds of evidence:
- Audience relevance: who watches, where they are and what they care about.
- Active attention: evidence that people currently watch or interact, not only that they once followed.
- Content proof: performance from posts or videos that resemble the proposed campaign format.
This is more informative than relying on follower count alone. A brand is not purchasing a profile number; it is assessing whether the creator, audience, idea and distribution can work together.
Choose metrics that match the platform
Platforms use different definitions and reporting windows. Keep the platform name, date range and metric label attached to every figure so a sponsor can interpret it correctly.
YouTube audience evidence
YouTube’s current Audience analytics guidance describes reports including monthly audience, new, casual and regular viewers, watch time from subscribers, top geographies, age, gender and the formats viewers watch. It defines monthly audience as estimated unique viewers over a rolling 28-day period and notes that some demographic or geography data may be limited.
Useful YouTube evidence might include:
- Monthly audience for an active-audience view.
- Top viewer geographies when territory matters.
- Watch time and average view duration for long-form attention.
- Returning, casual or regular viewers when the campaign benefits from repeat exposure.
- Performance of recent videos in the same topic or format as the idea.
Do not present subscribers and monthly audience as interchangeable. Use the labels exactly as the platform provides them and explain the selected period.
TikTok audience evidence
TikTok’s current TikTok Studio guidance describes analytics across key metrics, individual content and followers, while warning that feature availability can vary. That makes it important to report what your own account actually shows rather than promising every brand the same set of fields.
For a TikTok proposal, you could combine recent video reach and interaction with follower demographics and a small group of genuinely comparable posts. Avoid selecting one unusually viral video while hiding the normal range.
Instagram, podcasts and newsletters
Use the same principle even when the labels differ. For Instagram, identify the date range and distinguish followers, accounts reached and accounts engaged. For a podcast, consider verified downloads or listens within a defined period, completion where available and listener geography. For a newsletter, use delivered messages, unique opens or clicks only when the reporting method is clearly defined and suitable for the sponsor’s objective.
Do not combine platform figures into one “total reach” unless the periods and audiences are genuinely comparable. The same person may follow you in several places, so adding every platform number can imply a unique audience that the data does not establish.
Use a metric selection table
| Campaign question | Useful evidence | Common mistake |
|---|---|---|
| Can the creator reach the target market? | Top countries or regions for a stated period | Using the creator’s location as a substitute for audience location |
| Is the audience active? | Recent unique viewers, reach, watch time or engagement | Relying only on lifetime followers |
| Does the topic fit? | Comparable-content performance and audience questions | Using an unrelated viral post |
| Can the format hold attention? | Average view duration, retention or completion where available | Quoting views without content length or context |
| Is there evidence of action? | Relevant clicks, saves, replies or prior campaign outcomes | Claiming that interaction proves future sales |
Turn each number into a sponsor-relevant sentence
Use a simple three-step structure:
- Metric: state the number and exact platform label.
- Context: give the period, content set or comparison.
- Relevance: explain why it matters for this campaign.
For example:
In the last 28 days, 64% of my YouTube watch time came from viewers in the United States. That makes the channel a relevant starting point for your US launch, particularly through the repair videos where viewers already ask detailed questions about tools and materials.
This is stronger than “I have a very engaged US audience” because the brand can see the source, period and connection. Use your real data only; the example number above is illustrative, not a benchmark.
Show a normal range, not just a personal record
When a sponsor asks about expected performance, one exceptional post can be misleading. Select a recent group of comparable pieces—perhaps the last five relevant videos or every post in the proposed format during a fixed period—and report the range or median alongside any standout example.
Explain exclusions. If one video was boosted, part of a giveaway or driven by unusual news interest, label it. If a format is new and there is little history, say so and frame the campaign as a test rather than manufacturing certainty.
A transparent range can make planning easier for both sides. It also gives you a sensible baseline for the sponsorship report after publication.
Pair quantitative data with audience evidence
Analytics show behaviour in aggregate, but they do not always explain motivation. Add one or two non-identifying observations from your content and community:
- Questions viewers repeatedly ask.
- Problems that generate saves or detailed comments.
- Topics that bring regular viewers back.
- Formats that produce useful follow-up discussion.
- Products or categories viewers already request guidance about.
Keep this evidence honest. “People often ask how I choose repair tools” is useful if the comments support it. “My audience is ready to buy your product” is a prediction that comments alone cannot establish.
Protect audience privacy
Share aggregated platform analytics rather than exposing individual viewers. Crop screenshots carefully, remove account identifiers that the brand does not need and avoid forwarding private messages without permission. Check the platform terms and any applicable privacy requirements before sharing exported data.
If a report limits a metric because the audience segment is small, do not try to reconstruct or guess it. “Data unavailable for this period” is better than an unsupported estimate.
Where analytics belong in the pitch
The first email should remain readable. Use one or two relevant figures in the body, then offer a concise supporting page or media kit for detail.
A practical structure is:
- Introduce yourself and your content clearly.
- Explain the genuine brand and audience connection.
- Give one idea or direction without overbuilding unpaid creative work.
- Add one or two analytics points that support the fit.
- Ask for a simple next step.
Your creator media kit can hold the wider audience picture, while the email uses only the evidence most relevant to that company. A human brand pitch email structure will help you keep the numbers inside a natural conversation.
An audience-analytics pitch example
Hi [name],
I’m [creator name], and I make practical videos for people learning to repair and maintain mechanical watches.
I’ve been looking at [brand] because your [specific product or approach] fits the questions my viewers already ask about [relevant subject].
Over the last [period], [accurate audience metric] came from [relevant audience segment]. My recent [comparable content group] also generated [accurate attention or interaction metric], which suggests this subject is already useful to the channel’s active audience.
I have an idea for [brief, truthful format direction]. Would you mind if I send over a couple of details?
Best,
[name]
Replace every bracket with verified information. If the audience data does not support the proposed connection, change the target brand or the idea rather than forcing the narrative.
Audience analytics checklist for brand pitches
- Write the campaign question before selecting metrics.
- Choose audience relevance, active attention and comparable-content evidence.
- Keep the platform label and date range attached to each number.
- Use recent, representative content rather than one unexplained peak.
- Explain why each metric matters to the brand.
- Distinguish facts, estimates and your interpretation.
- Do not add platform audiences together as if every viewer were unique.
- Share aggregated data and remove unnecessary personal information.
- Keep the first email concise and place supporting detail in the media kit.
- Refresh time-sensitive figures before sending.
- Never imply that past engagement guarantees sales or future performance.
Good audience evidence does not make the pitch louder. It makes the fit easier to understand. Select fewer numbers, provide better context and connect each one to the campaign the brand is actually considering.
Find better-fit sponsors with Olurai
Olurai helps creators discover relevant companies, understand why they match and manage personalised sponsorship outreach. Try Olurai for free and build pitches around brands that fit your content and audience.
