Customer Enrichment Pricing Explained: What $0.03 vs $0.05 per Customer Actually Buys

When brands compare ecommerce customer enrichment tools, the first number they anchor on is the per-customer price, and it is usually the most misleading number in the evaluation. One tool charges around $0.03 per customer, another charges $0.05 or more, and the natural conclusion is that the cheaper one wins. That conclusion skips the only question that matters: what does each enrichment actually do?

I'm the co-founder of Mercana. This is an honest breakdown of how enrichment pricing works, why per-customer rates differ so much between tools, and how to compare cost in a way that reflects what you get back rather than just what you pay.

Quick context on why I'm opinionated here: before Mercana, I (Daniel Lee) worked on the enrichment algorithm and infrastructure at Clay, specifically the enrichment that powers ecommerce actions, and my co-founder Vijay Sridhar came out of product engineering at Meta. We built our enrichment pipeline from scratch. So when I say a deep enrichment costs more, it's not a pricing story to me, it's the compute, sources, and verification I've had to build and pay for firsthand.

The public numbers, side by side

Start with the facts. Here is what each tool lists publicly at the time of writing. Pricing changes, so confirm on each company's page before you decide.

	OuterSignal (public)	Mercana (public)
Free	Up to 100 customers/month	First 1,000 customers enriched free
Entry plan	Starter: $49/mo + $0.03 per unique customer, up to 1,000/mo	Starter: $79/mo, 1,000 enrichments + 2,000 backfill ($0.06 overage)
Mid plan	Pro: $199/mo + $0.03 per unique customer, stores under 30k orders/mo	Growth: $299/mo, 5,000 enrichments + 5,000 backfill ($0.05 overage)
Top plan	Enterprise: contact sales	Scale: custom volume, 10,000 backfill included

On a pure unit basis, OuterSignal's ~$0.03 per unique customer is lower than Mercana's ~$0.05 to $0.06 per enrichment. If two enrichments produced the same thing, that would settle it. They do not produce the same thing, which is the entire point.

What a per-customer rate is actually pricing

A per-customer enrichment rate is really pricing the amount of work done per customer. There are two very different jobs hiding behind the same unit label.

A field append takes your customer, matches them to a record in a static database, and returns a fixed set of pre-computed fields: name, a persona tag, a follower count, a demographic guess. The marginal cost of one more lookup is low, so the price per customer can be low. This is a legitimate, useful product when a category tag is all you need.

A research-grade enrichment treats each customer as a task. For Mercana, that means searching public social and web sources, analyzing the customer's public content including posts, tags, comments, and images where available, adding household and demographic context, verifying the identity match, and returning 200+ data points with a confidence score and source link on each one. More compute, more sources, and verification happen per customer, so the unit costs more. The higher price is not a margin decision; it tracks the depth of the work.

Put simply: you are not comparing two prices for the same thing. You are comparing the price of a lookup against the price of a researched profile. I break down that depth difference in detail in deep vs surface customer enrichment.

The cost that never shows up on the pricing page

The unit price is only half the equation. The other half is what your team has to do after enrichment finishes, and that cost is real even though no vendor lists it.

With a shallow profile, the enrichment is the beginning of the work. Someone exports the data, builds a pivot, decides which customers matter, writes the segment, and interprets what the persona tag implies. A $0.03 customer that takes an analyst an afternoon to turn into one usable audience is not a $0.03 customer. The cost moved; it did not disappear.

With a deeper, source-linked profile, more of that work is already done. The enrichment arrives with the evidence attached and, in Mercana's case, with the analysis, the recommended audience, and the route into your tools. The higher unit price buys down the downstream labor. Whether that is worth it depends on how much your team's time is worth and how often you actually act on the data, which is exactly the calculation the sticker price obscures.

Price also reflects whether the tool acts

There is a second reason per-customer rates diverge: some tools stop at a dashboard, and some carry the work through to activation. Enrichment that ends in a view is cheaper to deliver than enrichment that becomes a routed audience, a lifecycle segment, a creator shortlist, and a measurement plan.

Mercana's pricing includes the activation layer, not just the data: personas that auto-sync to Klaviyo and Shopify as profile properties, real-time Slack alerts when notable customers order, automated outreach across email and Instagram DM, and audiences handed to paid media. That is the difference between paying for information and paying for customer intelligence that becomes a weekly operating workflow. When you compare rates, check whether the cheaper unit price also means the work stops at export, because turning intelligence into revenue operations is where the return actually comes from.

How to compare cost honestly

Ignore the headline unit rate as your first filter. Instead, run a like-for-like test and score four things:

1. Depth per dollar. How many usable data points come back per customer, and do they include public content and household context or only a category tag?
2. Evidence. Does each field carry a confidence score and a source link, so you can trust and audit it?
3. Activation. Can it route audiences to Klaviyo, Shopify, Meta, and Slack, or does it hand you a dashboard and stop?
4. Leftover work. How many manual steps stand between the enrichment and a decision you can act on?

A tool that wins on unit price but loses on the other three is often more expensive once you account for your team's time and the revenue you did not capture. A tool that costs more per customer but delivers a researched, routed, measured workflow can be cheaper per outcome.

The lowest-risk way to decide

Both categories give you a free entry point, so you never have to guess. OuterSignal lists a free plan up to 100 customers per month. Mercana enriches your first 1,000 customers free as part of an audit that returns a validated segment, the evidence behind it, a routed audience or workflow, and a measurement plan.

Run the same customer list through each free tier and compare the outputs directly: depth, evidence, usability, and how close each one gets you to an action without more manual work. That single test tells you far more than the difference between three cents and five. For the full product-level breakdown, see OuterSignal vs Mercana, and for other options in the category, OuterSignal alternatives.

Frequently asked questions

How much does customer enrichment cost for ecommerce? Public per-customer rates generally run from about $0.03 to $0.08, plus a monthly fee. OuterSignal lists Free up to 100/month, Starter at $49/month plus 3 cents per unique customer, and Pro at $199/month plus 3 cents. Mercana lists Starter at $79/month, Growth at $299/month, and custom Scale pricing, with the first 1,000 customers enriched free. Confirm on each page before deciding.

Why is Mercana more expensive per customer than OuterSignal? Because each Mercana enrichment is a deeper research job, not a single lookup. It analyzes public posts, tags, comments, and images where available, adds household and demographic context, returns 200+ data points with confidence scores and source links, and turns that into routed audiences and workflows. The price gap tracks the depth gap.

Is a lower price per customer always better? No. A cheaper rate can move cost downstream if the profile is shallow, because your team spends hours turning it into a decision. Compare total cost: sticker price plus leftover manual work, against the revenue the data drives.

What should I compare besides the per-customer price? Enrichment depth, source transparency, activation (Klaviyo, Shopify, Meta, Slack), and the manual work remaining after enrichment. These determine real cost and real return more than the unit rate.

What is the cheapest way to try customer enrichment? Use the free tiers. OuterSignal offers a free plan up to 100 customers/month; Mercana enriches your first 1,000 free. Run the same list through both and compare the depth and usability of the output before paying.