In short
- Use three tabs: a long list with public data only, a scored shortlist and a one-page approval view for whoever signs the budget.
- Score every creator on the Gully Score weights: authenticity 30, engagement 25, buyer fit 20, craft 15, brand safety 10. Shortlist at 70 or more; drop below 60.
- Add a floor rule on top: no criterion below half its points. A high total can hide a weak buyer fit.
- Show the total fee and the cost per 1,000 expected views, forecast from the median of the last 10 posts, never the best one.
An influencer shortlist template is a spreadsheet with three tabs. The long list holds every candidate with public data only. The shortlist holds the creators who survived the data check, with their fee, their score on five criteria, a verdict and a status. The approval view is one page for whoever signs the budget. Score each creator on the Gully Score weights, shortlist at 70 or more, drop below 60, and keep reserves on the same terms.
This post is the sheet. The 22 scored checks behind the five score columns are in our influencer vetting checklist, and the search that fills the long list is in how to find influencers in India. The criteria and weights come from the Gully Score we apply to every creator we propose. For the whole channel, see the complete guide to influencer marketing in India. In a 2025 study covered by Campaign India, 83% of brands said they struggle to find the right creators. A sheet that forces the same questions of every candidate is the cheapest fix.
Three tabs, three jobs
| Tab | Holds | Data used | Who reads it |
|---|---|---|---|
| Long list | Every candidate, one row each | Public profile only | You and the strategist |
| Shortlist | Creators with insights received | Creator screenshots, quotes, scores | You and the strategist |
| Approval view | The recommended names, one page | Copied from Shortlist | The person who signs the budget |
Keep the long list wide and cheap: handle, platform, link, followers, language, city, niche, median views of the last 10 posts, views per follower, how you found them and a first-pass decision with one reason. Candidates only move to the Shortlist tab once they have sent their data. That keeps the scored tab short enough to read. The categories of software that can fill the long list faster are explained in influencer discovery tools explained.
The Shortlist tab, column by column
| Col | Column | Formula or entry |
|---|---|---|
| A | Creator ID | Fixed, for example c101; reuse it in UTM tags and codes |
| B | Handle | Public name |
| C | Platform | List |
| D | Followers | From the profile on the day of the audit |
| E | Tier | =IF(D2<10000,"Nano",IF(D2<100000,"Micro",IF(D2<500000,"Mid-tier",IF(D2<1000000,"Macro","Mega")))) |
| F | Language | The language of the content |
| G | City or state | Where the audience sits, from insights |
| H | Median views, last 10 | From the creator's data, never the best post |
| I | Views per follower | =IFERROR(H2/D2,"") |
| J | Base fee (₹) | The quote before extras |
| K | Rights and exclusivity (₹) | Zero if none |
| L | Total (₹) | =J2+K2 |
| M | Fee against tier range | =IF(J2<VLOOKUP(E2,Ranges!A:C,2,FALSE),"Below",IF(J2>VLOOKUP(E2,Ranges!A:C,3,FALSE),"Above","In range")) |
| N | Cost per 1,000 expected views (₹) | =IFERROR(L2/H2*1000,"") |
| O | Audience authenticity | 0 to 30 |
| P | Engagement quality | 0 to 25 |
| Q | Buyer fit | 0 to 20 |
| R | Content craft | 0 to 15 |
| S | Brand safety | 0 to 10 |
| T | Total | =SUM(O2:S2) |
| U | Instant fail | Y or N |
| V | Verdict | =IF(U2="Y","Drop",IF(T2<60,"Drop",IF(OR(T2<70,O2<15,P2<12.5,Q2<10,R2<7.5,S2<5),"Reserve","Shortlist"))) |
| W | Evidence | Link to the screenshot folder |
| X | Status | List, see below |
| Y | Why not higher | One line for any score below 80 |
| Z | Status date | The date of the last status change |
The Ranges tab is a small table with the tier in column A and the low and high base fee in columns B and C. Fill it from the Instagram Reel row of our rates guide: nano ₹2,000 to ₹10,000, micro ₹8,000 to ₹80,000, mid-tier ₹50,000 to ₹3.5 lakh, macro ₹2 lakh to ₹8 lakh and mega ₹5 lakh to ₹25 lakh. They are asking prices, not audited data, and change by niche, so overwrite them with your own once you have quotes. For other formats, add rows. Tiers follow follower bands, and the 61.1% of surveyed creators who are nano, per a 2026 vendor survey in Campaign India, is a reason to test nano formulas early.
Scoring on the Gully Score weights
Columns O to S use the Gully Score's five criteria and weights: audience authenticity 30, engagement quality 25, buyer fit 20, content craft 15 and brand safety 10. Our own team scores creators this way, and copying the weights keeps in-house scores comparable with ours. The Gully Score shortlists at 70 or more and drops creators below 60. On top of that we suggest two rules for a manual sheet:
- A reserve band. A score from 60 to 69 goes on a reserve list, to be used only if a shortlisted creator drops out or after a paid trial.
- A floor. No criterion below half its points, which is 15, 12.5, 10, 7.5 and 5 across the five columns. Without a floor, a creator with a strong audience can carry a poor buyer fit past the cut-off, and wrong-audience posts are a common way budgets are wasted.
The floor and reserve band are our additions, not part of the Gully Score. Record what you scored and why, using the evidence checks in the vetting checklist. If a creator will not show the data, the data columns score zero.
Status: where each creator is
| Status | Meaning | Who moves it |
|---|---|---|
| Long list | Found, not yet screened | Strategist |
| Data requested | Outreach sent | Strategist |
| Data received | Screenshots in the folder | Strategist |
| Scored | Columns O to S filled | Reviewer |
| Shortlisted or reserve | Verdict set | Formula |
| With approver | On the approval view | Strategist |
| Approved | Brand has signed off | Brand |
| Quote agreed | Fee and extras final | Strategist |
| Contract signed | Deliverables, rights and label in writing | Both |
| Declined, or dropped | With a reason code | Whoever decided |
Add a days-in-status formula in column AA, =TODAY()-Z2. A creator who has sat at "data requested" for a week needs a nudge or a replacement. Log the reason for every decline: fee too high, clash with another brand, no reply, product mismatch. After two or three campaigns the pattern tells you where your offers fall short. For outreach wording, see influencer outreach message templates.
A filled-in example (made-up numbers)
The cost column is a forecast built from median views, not a result. After posting, compare it with the real cost per 1,000 views, as described in how to measure Instagram Reel performance, and feed the gap back into the next shortlist. We found no published India benchmark for sponsored creator content, so rank creators against each other, not against a number from a blog.
The approval view
Whoever signs the budget does not want 25 columns. Give them one page, sorted by total.
| Column | Why it is there |
|---|---|
| Name, platform, tier | Who they are |
| Total score and one line on why | The recommendation |
| Audience match | Top city share and age band against your buyer |
| Median views | What they typically deliver |
| Total fee, cost per 1,000 expected views | What it costs and compares to |
| Risk note | Any label habit, competitor deal or credential issue |
| Reserve for | The ID this creator would replace |
The page ends with total budget, the tier and language mix and the reserve list. In our process, the creator plan you receive within 48 hours of the brief call carries these same fields: names, Gully Scores, audience data, past brand work and quote. Nothing is booked, and no money moves, until you approve.
Checking the mix before you send it
A shortlist can be full of good creators and still be a bad portfolio. Add a small table that totals the shortlisted creators by tier, language and city, with formulas such as =SUMIFS(Shortlist!L:L,Shortlist!E:E,"Micro",Shortlist!V:V,"Shortlist") for spend. Check it against the plan: if you wanted 70% of spend in micro creators and the sheet says 90%, the shortlist is too narrow. Check that no single creator takes more than about a fifth of the budget unless you chose that on purpose, which is our working rule. Check each language and city against the buyer brief, and see how many influencers you need if the count looks off.
For reserves, name the creator each would replace, with the same tier, language and city. A reserve in a different city is not a replacement.
Changing the performance columns by platform
The five score columns stay the same everywhere. Columns H and I change with the platform, and cost per 1,000 expected views should only be compared within one platform and format.
| Platform | Column H becomes | Note |
|---|---|---|
| Median views of the last 10 Reels | Use Reels for Reel campaigns; keep Story reach in a separate column | |
| YouTube | Median views of the last 10 long videos, with Shorts in their own column | Ask for engaged views, since the definition of a view changed on 24 August 2026; see how to find YouTube creators in India |
| Median impressions of the last 10 posts | Impressions and views are different units; see how to find LinkedIn creators in India |
Keeping the sheet useful
- Freeze the scores at approval. Copy the Shortlist tab to a dated tab, so later edits do not rewrite history.
- Re-vet before rebooking. Audiences change; the rule of thumb in the vetting checklist is every 90 days on a long deal.
- Carry results back. After the campaign, add day-7 results to each creator's row and compare with the forecast. The influencer marketing dashboard template holds the campaign view.
- Score drafts too. The rubric in how to evaluate influencer content quality judges what a creator makes for you, which is better evidence for the craft column next time.
- Do not edit the weights per creator. Fix the weights first, then compare.
If you would rather receive a scored shortlist than build one, send us a brief. Our micro-influencer marketing service builds these plans for 50 to 500 creators at a time, and our strategy and audit service can review a shortlist you already have.
Sources
- Indian consumers and influencers: coverage of a 2025 Kantar-backed study of consumers and brands, Campaign India (12 Jun 2025)
- Coverage of a 2026 India creator-economy report: creator numbers, engagement and cost by city tier, Campaign India (21 May 2026)
- How engagement metrics are counted (views counted at the start of play from 24 Aug 2026), YouTube Help (Google) (undated, accessed 1 Nov 2026)
Frequently asked questions
What columns should an influencer shortlist template have?
Identity (ID, handle, platform, followers, tier, language, city), performance (median views of the last 10 posts, views per follower), price (base fee, rights, total, cost per 1,000 expected views), five score columns, a total, an instant-fail flag, a verdict, evidence links and a status. Add a note for any score below 80.
How many influencers should be on a shortlist?
About twice the number you plan to book. Some will decline, quote above your range or fail the data check. For a campaign of three creators, four shortlisted and two on reserve is a sensible position. Our guide to how many influencers you need helps set the number.
What score should a creator need to be shortlisted?
On the Gully Score a creator needs 70 or more out of 100 to be shortlisted, and below 60 is dropped. We suggest treating 60 to 69 as reserve, and adding a floor of half the points on each criterion. Use the same cut-offs every time so that scores from different niches stay comparable.
Should the shortlist show fees?
Yes, as a total including usage rights and exclusivity, and as a cost per 1,000 expected views. Compare creators within the same platform and format only. A fee that sits outside the tier range in our rates guide is a negotiation point, not an automatic rejection.
How do I present the shortlist to a client or manager?
Use a one-page approval view with name, tier, score and one line on why, audience match, median views, total fee, cost per 1,000 expected views and risk note. Put the scoring evidence in a folder and keep it out of the page. Nothing should be booked until the approver has seen it.
Can one template cover Instagram, YouTube and LinkedIn?
Yes, if the performance columns change by platform: views on Instagram and YouTube, impressions on LinkedIn. Keep the five score columns the same, and compare cost per 1,000 expected views only within one platform and format. See how to find YouTube creators in India for the YouTube columns.