What Features Does KALO IQ Offer for Influencer Marketing Workflows?

KALO IQ is an influencer marketing platform built for US brands, and its feature set maps to four stages of a campaign workflow: discovering creators, evaluating them, running the campaign, and reading performance insights. The platform advertises a database of 100M+ verified creators that it describes as hand-checked with zero bots, and it lets you start free without a credit card. If your job is to find US-based creators and justify the spend afterward, the features below are the ones you'd actually use.

Creator discovery: search and filter

The discovery layer is a filtered creator search. You set criteria and the platform returns matching profiles.

From the site's own example search, the available filters include:

• Niche — e.g., Skincare
• Platform — the social network the creator publishes on
• Followers — a range, e.g., 10K–250K
• Engagement — a minimum rate, e.g., 2%+
• Location — e.g., United States

The same example shows 1,236 creators found for one skincare query, with pagination across 100 pages, so the result set is meant to be narrowed rather than browsed end to end. Results are sortable, with Relevance shown as the default sort.

Each result row carries the fields you need to decide whether to open a profile: creator name and handle, niche, subscriber/follower count, engagement rate, audience quality, an audience quality score, an estimated ROI, and a View Profile action.

Creator evaluation: engagement, audience quality, and estimated ROI

The evaluation features are the columns attached to every search result, which is what separates this from a plain creator directory.

In the skincare example, the top result combines 125K subscribers, a 4.2% engagement rate, High audience quality, a 94/100 score, and an estimated 7.6x ROI. The list descends from there — lower engagement and lower scores track with lower estimated ROI — which is the intended reading pattern: use the numeric fields to rank candidates before you spend time on profiles.

Two things worth noting about these numbers. First, "verified" here means hand-checked and zero bots per the platform's description, so audience quality is a screening signal rather than a guarantee. Second, estimated ROI is a projection attached to a creator, not a measured result — the measured version comes from campaign data after the fact.

Campaign workflow and insights

The site describes KALO IQ as "the all-in-one influencer marketing platform for US brands" with "powerful features for every step of your workflow," and lists Influencer marketing insights as a distinct area alongside Discover Creators. The stated purpose of the insights side is to prove campaign ROI — that is, to connect what you spent on creators to what the campaign returned, rather than leaving ROI as a pre-campaign estimate only.

The published material does not break the campaign-management stage into named sub-features (for example, specific outreach, contract, or payment tools), so treat "all-in-one" as the platform's own framing of coverage across the workflow rather than a verified feature list. If a specific step — briefs, approvals, payments — is critical to your process, confirm it directly before committing.

Who these features fit

The feature set is aimed at US brands running or planning influencer campaigns who need to (a) filter a large creator pool down to a shortlist and (b) show a return. It fits best if your bottleneck is sourcing and pre-campaign screening. It fits less well if you already have a fixed creator roster and only need post-campaign analytics, since discovery is the most developed part of what's documented.

On access: the site states you can start free with no credit card, and a pricing page exists at kaloiq.com/pricing. The free tier's limits and paid tiers are not specified in the available material, so check the pricing page before assuming a given feature is included at no cost.

Practical next step

Run one real search with your own filters — niche, follower range, minimum engagement, US location — and check whether the returned audience quality scores and estimated ROI give you a shortlist you'd actually contact. That single test tells you more about fit than any feature list, because the value here depends on whether the filtering and scoring match how your brand picks creators.