# Shopify App Cold Outreach [749K-Contact Study]

> Shopify app cold outreach data from 749K contacts: account filters, buyer roles, and wedges for getting first installs without generic lists.

Published: 2026-05-07
Author: StoreInspect Team
Tags: shopify, app-development, cold-outreach, sales-prospecting, data
Canonical HTML: https://storeinspect.com/blog/shopify-app-cold-outreach

![Shopify app cold outreach](/images/blog/shopify-app-cold-outreach.webp)

## TL;DR: Key Findings

- We analyzed **565,026 Shopify stores** and **748,918 contact records** to see what Shopify app cold outreach can actually target.
- The useful account pool starts with **205,067 stores above 50K monthly visits**. Of those, **174,119** have at least one contact and **79,997** have a verified contact.
- Role-ready outreach is the bottleneck. Only **5,574** of the 50K+ stores have a verified contact mapped to a usable app-buyer role.
- The largest sendable app outreach pools are popup and capture (**166,347 accounts**), analytics and attribution (**151,101**), search and merchandising (**130,905**), and support and CX (**98,085**).
- Verified-contact rates improve with traffic: **38.6%** at 50K-200K, **46.0%** at 200K-1M, and **56.7%** at 1M+.
- The right sequence is account first, contact second, first-line proof third. Generic Shopify merchant lists are where reply rates go to die.

---

Shopify app cold outreach fails when founders treat every Shopify store as a prospect.

That sounds obvious, but it is still how a lot of campaigns are built. Export a large Shopify list, enrich emails, write a generic "we help Shopify stores grow" sequence, then wonder why the replies are low quality.

The problem is not cold outreach by itself. Shopify still has a large app ecosystem through the [Shopify App Store](https://apps.shopify.com/) and the [Shopify Partner Program](https://www.shopify.com/partners). App founders are actively looking for ways to get first installs, trials, and merchant feedback, which shows up in founder communities and guides from tools like [StoreCensus](https://blog.storecensus.com/how-to-get-your-first-100-installs-as-a-new-shopify-app-developer-3-uncommon-but-proven-tactics/) and [Store Leads](https://storeleads.app/).

The weak part is usually list construction.

[Shopify App ICP Targeting](/blog/shopify-app-icp-targeting) answers who fits your product. [How to Get Users for Your Shopify App](/blog/how-to-get-users-for-your-shopify-app) turns those fit signals into a 100-store launch list. [Who Buys Shopify Apps?](/blog/who-buys-shopify-apps) answers which role usually owns the workflow. This post is narrower: it answers which accounts are sendable this week, which contact lane they fall into, and what visible evidence gives you a defensible first line.

We pulled fresh [StoreInspect](/) data across **565,026 stores** and **748,918 contact records** to map that execution layer.

## How We Collected This Data

We used the latest StoreInspect dataset as of May 7, 2026. The analysis covered **565,026 Shopify stores**, **565,025 stores with latest tech snapshots**, **748,918 contact records**, and **696,381 email rows**.

For each store, we looked at:

- Traffic tier and storefront maturity signals.
- Detected apps from script URLs, app blocks, JavaScript fingerprints, and DOM patterns.
- Detected pixels such as [Meta Pixel](/pixels/meta), [Google Ads](/pixels/google-ads), [Google Analytics](/pixels/google-analytics), [TikTok Pixel](/pixels/tiktok), and [Google Tag Manager](/pixels/google-tag-manager).
- Contact coverage, verified email coverage, and mapped role groups such as founder, ecommerce, marketing, growth, operations, support, and technical roles.
- Missing app-category signals for [analytics](/blog/best-shopify-analytics-apps), [popup and capture](/blog/best-shopify-popup-apps), [search](/blog/best-shopify-search-apps), [support](/blog/best-shopify-customer-support-apps), [personalization](/blog/best-shopify-personalization-apps), [reviews](/blog/best-shopify-review-apps), [upsell](/blog/best-shopify-upsell-apps), [subscriptions](/blog/best-shopify-subscription-apps), and [loyalty](/blog/best-shopify-loyalty-apps).

There are limits. We can detect tools with observable storefront signals, but not every backend-only app, private workflow, custom integration, or offline process. "No visible app detected" is a prospecting signal, not courtroom proof.

We also separate four contact levels:

| Contact Level | Meaning |
|---|---|
| Any contact | Store has at least one contact record. |
| Verified contact | Store has at least one verified email record. |
| Verified role-ready | Store has a verified contact mapped to the likely buyer role for that app category. |
| Account-only | Store fits the account filter, but has no usable contact in the current dataset. |

That distinction matters because [Shopify contact data quality](/blog/shopify-contact-data-quality) varies sharply by source and role. A generic info email is not the same as a verified ecommerce lead.

## Shopify App Cold Outreach Starts With Accounts

The top of the funnel looks large, but every step cuts the sendable universe.

| Funnel Step | Stores | Share of 50K+ |
|---|---:|---:|
| Total Shopify stores in database | 565,026 | |
| Stores above 50K monthly visits | 205,067 | 100.0% |
| 50K+ stores with any contact | 174,119 | 84.9% |
| 50K+ stores with verified contact | 79,997 | 39.0% |
| 50K+ stores with verified mapped role | 5,574 | 2.7% |
| 50K+ stores with paid-media signal | 176,850 | 86.2% |
| 50K+ stores with 5+ visible apps | 157,913 | 77.0% |

This is why buying a broad merchant list is not the same as having a sales motion.

The good news: there are **205,067** Shopify stores above 50K monthly visits, and **174,119** of them have at least one contact. That is enough volume for any early-stage app founder.

The hard part: only **79,997** have a verified contact, and only **5,574** have a verified mapped role. If your whole campaign depends on emailing a perfect VP Ecommerce or Head of Growth contact, your sendable market becomes tiny fast.

The practical answer is not to ignore roles. It is to split the campaign into lanes.

## The Four Sendable Outreach Lanes

Use four lanes instead of one list:

| Lane | Who It Includes | Best Use |
|---|---|---|
| Lane A: verified role | Verified ecommerce, marketing, founder, ops, support, or technical contact mapped to your app category. | Best accounts for direct personalized outreach. |
| Lane B: verified unknown role | Verified contact exists, but the role is missing or not mapped cleanly. | Use account-level proof and softer routing. |
| Lane C: unverified contact | Contact exists, but email is not verified. | Use lower-risk tests, manual review, or enrichment before sending. |
| Lane D: account-only | Account fits the store filter, but contact is missing. | Use enrichment, LinkedIn research, partner intros, or retargeting. |

Here is what those lanes look like by app-category offer:

| Offer | Lane A Verified Role | Lane B Verified Unknown Role | Lane C Unverified Contact | Lane D Account-Only |
|---|---:|---:|---:|---:|
| Popup and capture | 3,587 | 63,263 | 75,187 | 24,310 |
| Analytics and attribution | 937 | 57,903 | 69,614 | 22,647 |
| Search and merchandising | 2,618 | 49,085 | 60,484 | 18,718 |
| Support and CX | 1,954 | 38,742 | 43,621 | 13,768 |
| Personalization | 1,737 | 23,691 | 24,062 | 7,256 |
| Reviews and UGC | 1,236 | 21,376 | 24,278 | 8,055 |
| Upsell and AOV | 1,605 | 20,479 | 20,566 | 6,263 |
| Subscription and loyalty | 1,269 | 19,037 | 19,596 | 5,919 |

Lane A is where you test the sharpest copy. Lane B is where you test routing lines like "not sure if this sits with ecommerce or growth." Lane C is where you enrich before scaling. Lane D is where you do account-based work, not blind email blasts.

This is also where [Shopify decision-maker contacts](/blog/shopify-decision-maker-contacts), [verified Shopify leads](/blog/verified-shopify-leads), and [Shopify contact enrichment workflow](/blog/shopify-contact-enrichment-workflow) become operational instead of theoretical.

## Best Shopify App Cold Outreach Pools

The strongest pools are not "all stores missing an app." They combine traffic, adjacent behavior, missing category, and contactability.

| Offer | Account Filter | Accounts | Verified Contact | Verified Role-Ready | Strong First-Line Signal | Avg Apps | Avg Products | Paid Media |
|---|---|---:|---:|---:|---:|---:|---:|---:|
| Popup and capture | Marketing, ecommerce, founder | 166,347 | 66,850 (40.2%) | 3,587 (2.2%) | 163,678 (98.4%) | 8.0 | 3,210 | 155,502 (93.5%) |
| Analytics and attribution | Marketing, technical, ecommerce | 151,101 | 58,840 (38.9%) | 937 (0.6%) | 149,695 (99.1%) | 7.8 | 3,209 | 151,101 (100.0%) |
| Search and merchandising | Ecommerce, operations, founder | 130,905 | 51,703 (39.5%) | 2,618 (2.0%) | 129,614 (99.0%) | 8.0 | 4,826 | 112,551 (86.0%) |
| Support and CX | Operations, ecommerce, founder | 98,085 | 40,696 (41.5%) | 1,954 (2.0%) | 97,428 (99.3%) | 8.6 | 2,726 | 98,085 (100.0%) |
| Personalization | Ecommerce, marketing, founder | 56,746 | 25,428 (44.8%) | 1,737 (3.1%) | 56,100 (98.9%) | 10.2 | 2,569 | 51,797 (91.3%) |
| Reviews and UGC | Marketing, ecommerce, founder | 54,945 | 22,612 (41.2%) | 1,236 (2.2%) | 53,567 (97.5%) | 7.9 | 2,819 | 47,533 (86.5%) |
| Upsell and AOV | Ecommerce, marketing, founder | 48,913 | 22,084 (45.1%) | 1,605 (3.3%) | 48,316 (98.8%) | 9.7 | 2,748 | 44,493 (91.0%) |
| Subscription and loyalty | Marketing, ecommerce, founder | 45,821 | 20,306 (44.3%) | 1,269 (2.8%) | 45,260 (98.8%) | 9.9 | 2,598 | 41,889 (91.4%) |

There are two useful takeaways.

First, the big pools are not low intent. Popup, analytics, search, and support all have more than **98%** strong first-line signal coverage because the filters require visible evidence. For example, analytics requires paid-media signals. Search requires catalog depth. Support requires traffic and operational pressure.

Second, smaller pools can be better for founder-led selling. Upsell, subscriptions, loyalty, and personalization have higher average app counts and verified-contact rates. These merchants already buy software.

## Wedge 1: Analytics and Attribution

Analytics and attribution is the cleanest cold outreach pool when the merchant already spends on acquisition.

We found **151,101** 50K+ accounts with the right paid-media signal profile, no visible attribution layer, and a likely marketing, technical, or ecommerce buyer route. **58,840** have a verified contact. The role-ready count is only **937**, which means most campaigns need account-level proof before role-level personalization.

Good first-line evidence:

- Visible [Meta Pixel](/pixels/meta), [Google Ads](/pixels/google-ads), [TikTok Pixel](/pixels/tiktok), or [Google Tag Manager](/pixels/google-tag-manager).
- No visible app like [Triple Whale](/apps/triple-whale), [Elevar](/apps/elevar), [Northbeam](/apps/northbeam), or [Littledata](/apps/littledata).
- Enough detected apps to suggest the store already pays for tooling.

Do not write, "I noticed you run ads." Everyone notices that.

Write from the gap: "You have paid-media pixels live, but I could not see a dedicated attribution layer on the storefront. Is attribution handled internally, or is it still mostly platform reporting?"

That question is specific, provable, and easy to forward to the right person.

For the broader market view, pair this with [Shopify Attribution Gap](/blog/shopify-attribution-gap), [Shopify Server-Side Tracking](/blog/shopify-server-side-tracking), and [best Shopify analytics apps](/blog/best-shopify-analytics-apps).

## Wedge 2: Popup and Capture

Popup and capture is the largest account pool in this study: **166,347** accounts, **66,850** verified contacts, and **3,587** verified role-ready contacts.

This pool works because the pain is easy to explain. A store running paid traffic without visible capture is letting too much traffic leave without a second chance. If the store already uses [Klaviyo](/apps/klaviyo), [Omnisend](/apps/omnisend), or another email platform but no capture layer like [Privy](/apps/privy), the first line is obvious.

The pool is especially deep in [fashion](/top-shopify-stores/fashion), [beauty](/top-shopify-stores/beauty), [food and beverage](/top-shopify-stores/food), and [home and garden](/top-shopify-stores/home). These categories also have enough product breadth and repeat purchase potential for list growth to matter.

A weak opener says, "We help Shopify stores grow email lists."

A better opener says, "You have paid acquisition and lifecycle tooling in place, but I could not find a visible capture layer. Are you intentionally keeping email capture off the storefront?"

That gives the merchant an easy answer. Yes, no, or "we use something you did not detect." All three are better than silence.

For category context, use [best Shopify popup apps](/blog/best-shopify-popup-apps) and [best Shopify email marketing apps](/blog/best-shopify-email-marketing-apps).

## Wedge 3: Search and Merchandising

Search and merchandising has **130,905** accounts, **51,703** verified contacts, and the highest average product count in the main table: **4,826** products.

That matters because search apps need catalog pressure. A store with 20 products does not feel the same findability problem as a store with hundreds or thousands of products.

Good first-line evidence:

- Large product count.
- No visible search or filter app such as [Searchanise](/apps/searchanise) or [Algolia](/apps/algolia).
- Existing app depth that shows the merchant already invests in conversion.
- Category fit in fashion, beauty, home, parts, accessories, or broad catalog retail.

The best outreach line is not "you need better search." It is "your catalog looks deep enough that default search may be hiding products buyers would otherwise find."

This is a strong wedge for app founders selling search, filters, collection merchandising, product discovery, or recommendation infrastructure. For more category detail, read [best Shopify search apps](/blog/best-shopify-search-apps), [Shopify tech stack by growth stage](/blog/shopify-tech-stack-by-growth-stage), and [how to find Shopify stores by app](/blog/how-to-find-shopify-stores-by-app).

## Wedge 4: Support and CX

Support and CX is a smaller pool than popup or analytics, but still large: **98,085** accounts and **40,696** verified contacts.

The first-line signal is strong because support pain usually follows traffic, orders, subscriptions, shipping questions, returns, and paid acquisition. If the store has acquisition pressure but no visible support stack like [Gorgias Chat](/apps/gorgias-chat), [Zendesk](/apps/zendesk), [Tidio](/apps/tidio), or another helpdesk layer, the message can be concrete.

Good first-line evidence:

- Paid-media pixels plus meaningful traffic.
- Reviews, email, subscription, shipping, or tracking tools.
- No visible helpdesk, live chat, or support widget.
- Large catalog or product complexity.

The opener: "You have acquisition and post-purchase signals live, but I could not see a dedicated support layer. Is CX still handled through inboxes, or do you already have a helpdesk behind the scenes?"

For a more complete support view, use [best Shopify customer support apps](/blog/best-shopify-customer-support-apps) and [Shopify AI support gap](/blog/shopify-ai-support-gap).

## Wedge 5: Smaller Pools With Higher Maturity

The smaller pools are often better if your app requires a real buyer, higher ACV, or onboarding.

| Offer | Accounts | Verified Contact | Avg Apps | Best Visible Proof |
|---|---:|---:|---:|---|
| Personalization | 56,746 | 25,428 (44.8%) | 10.2 | Email and reviews installed, no [Dynamic Yield](/apps/dynamic-yield) or [Nosto](/apps/nosto). |
| Reviews and UGC | 54,945 | 22,612 (41.2%) | 7.9 | Email installed, no visible [Judge.me](/apps/judge-me), [Loox](/apps/loox), or [Yotpo Reviews](/apps/yotpo-reviews). |
| Upsell and AOV | 48,913 | 22,084 (45.1%) | 9.7 | Email and reviews installed, no [Rebuy](/apps/rebuy) or [AfterSell](/apps/aftersell). |
| Subscription and loyalty | 45,821 | 20,306 (44.3%) | 9.9 | Retention stack exists, no [Recharge](/apps/recharge-subscriptions), [Skio](/apps/skio), [Smile.io Loyalty](/apps/smile.io-loyalty), [LoyaltyLion](/apps/loyaltylion), or [Growave](/apps/growave). |

These lists are not as big as popup or analytics. That is fine.

If your product needs setup, migration, onboarding, or a more thoughtful sales call, a smaller high-maturity pool is better than a giant cold list. This is the same pattern we saw in [stores ready to switch Shopify apps](/blog/stores-ready-to-switch-shopify-apps), [Shopify app uninstall leads](/blog/shopify-app-uninstall-leads), and [Shopify app spending](/blog/shopify-app-spending).

## Traffic Tier Changes The Outreach Motion

Traffic tier changes both contact quality and message.

| Traffic Tier | Accounts | Any Contact | Verified Contact | Verified Mapped Role | Avg Apps | Avg Pixels |
|---|---:|---:|---:|---:|---:|---:|
| Under 50K | 359,959 | 248,726 (69.1%) | 103,114 (28.6%) | 1,857 (0.5%) | 2.8 | 4.3 |
| 50K-200K | 193,848 | 164,021 (84.6%) | 74,832 (38.6%) | 4,235 (2.2%) | 8.1 | 10.2 |
| 200K-1M | 11,159 | 10,042 (90.0%) | 5,131 (46.0%) | 1,320 (11.8%) | 11.1 | 13.4 |
| 1M+ | 60 | 56 (93.3%) | 34 (56.7%) | 19 (31.7%) | 10.4 | 14.6 |

Under 50K traffic gives you volume, but the average store has only **2.8** detected apps and **4.3** detected pixels. Use this tier for free apps, low-ticket apps, founder interviews, and fast feedback.

The 50K-200K tier is the main paid-app motion. It has **193,848** accounts, **74,832** verified-contact accounts, and an average of **8.1** detected apps. These merchants have enough traffic to feel pain, but they are not all enterprise procurement projects.

The 200K-1M tier is where sales gets more targeted. Contact coverage improves, average app count rises to **11.1**, and verified mapped role coverage reaches **11.8%**. This is better for higher-price apps, migration campaigns, partner-led introductions, and account-based outbound.

The 1M+ tier is tiny in count but rich in signal. Do not treat it as a bulk cold email list. Treat it as named-account research.

For adjacent targeting models, read [Shopify store ICP framework](/blog/shopify-store-icp-framework), [Shopify prospecting filters](/blog/shopify-prospecting-filters), and [Shopify sales triggers](/blog/shopify-sales-triggers).

## How To Write The First Line From Visible Evidence

Cold outreach gets worse when the first line tries to sound personal without saying anything.

"Loved your brand" is not personalization. "Saw you are on Shopify" is not personalization. "Congrats on your growth" is filler unless you can prove it.

Use visible account evidence instead:

| App Category | Weak First Line | Better First Line |
|---|---|---|
| Analytics | "Saw you are running ads." | "You have paid-media pixels live, but I could not see a dedicated attribution layer." |
| Popup and capture | "We help brands collect more emails." | "You have paid acquisition and email tooling, but I could not find a visible capture layer." |
| Search | "We improve Shopify search." | "Your catalog looks large enough that default search could be hiding products buyers would otherwise find." |
| Support | "We automate support for Shopify stores." | "You have acquisition and post-purchase signals live, but I could not see a dedicated support layer." |
| Reviews | "Reviews increase trust." | "You already have lifecycle tooling, but I could not see a visible reviews layer on the storefront." |
| Upsell | "We increase AOV." | "You have retention and trust tooling in place, but I could not see an upsell or recommendation layer." |

That is the difference between mail merge and useful outreach.

The first line should prove three things:

1. You looked at the account.
2. You know which workflow your app touches.
3. You are asking about a gap, not pretending to know the merchant's private business.

For actual email structures, use [cold email templates for Shopify stores](/blog/cold-email-templates-for-shopify-stores). For stack-level campaign planning, use [Shopify outbound sales stack](/blog/shopify-outbound-sales-stack).

## What Not To Send

Do not send one broad campaign to every Shopify store.

Do not pitch replacement before you understand switching cost. If you are targeting users of [Klaviyo](/apps/klaviyo), [Gorgias Chat](/apps/gorgias-chat), [Recharge](/apps/recharge-subscriptions), [Judge.me](/apps/judge-me), or [Rebuy](/apps/rebuy), you need a migration reason, not a generic "better than your current app" claim.

Do not use unverifiable revenue numbers. If your list source claims exact sales for a private store without methodology, treat it with suspicion. We covered that problem in [how to check Shopify store revenue](/blog/how-to-check-shopify-store-revenue) and [best Shopify spy tools](/blog/best-shopify-spy-tools).

Do not personalize from stale screenshots or old app detections. Shopify stacks change. Use current app, pixel, and contact data, then spot-check important accounts before sending.

Do not route every email to founders. Founders are useful for small merchants and early feedback, but analytics often routes to marketing or technical owners, support routes to CX and operations, and search routes to ecommerce or merchandising. [Who Buys Shopify Apps?](/blog/who-buys-shopify-apps) breaks down the role ladder by app category.

## A Practical Shopify App Cold Outreach Workflow

Here is the cleanest workflow for a founder or small sales team:

| Step | Action | Output |
|---|---|---|
| 1 | Pick one app category and one missing-category wedge. | One campaign theme. |
| 2 | Filter to 50K+ traffic unless your app is free or very low ticket. | Stores with enough pain. |
| 3 | Add adjacent stack signals. | Proof that the merchant already buys software. |
| 4 | Exclude stores already using your app category. | Cleaner greenfield pitch. |
| 5 | Split accounts into Lanes A, B, C, and D. | Different workflows for contact quality. |
| 6 | Write one first-line proof rule per campaign. | Personalization that scales. |
| 7 | Spot-check the top accounts manually. | Fewer embarrassing misses. |
| 8 | Send small batches and suppress bad-fit accounts. | Cleaner learning loop. |

You can build this in [StoreInspect](/for/app-developers) by combining app filters, missing-category filters, traffic tiers, pixel signals, contact filters, and export rules. If you want a broader lead-list workflow, start with [how to find Shopify stores](/blog/how-to-find-shopify-stores), [how to find Shopify stores by app](/blog/how-to-find-shopify-stores-by-app), and [Shopify outreach suppression lists](/blog/shopify-outreach-suppression-lists).

## FAQ

### Does cold outreach work for Shopify apps?

Yes, but only when the account list is specific. Generic Shopify merchant outreach is noisy. The better pattern is to target stores with traffic, adjacent software, a visible missing category, and a first-line proof point.

### What is the best Shopify app cold outreach segment?

It depends on the app category. In this dataset, the largest pools were popup and capture with **166,347** accounts, analytics and attribution with **151,101**, search and merchandising with **130,905**, and support and CX with **98,085**.

### Should app founders target stores using competitor apps?

Sometimes, but competitor-user lists are usually a second motion. Greenfield outreach is easier when you can show the merchant already has adjacent tools but no visible app in your category. Use competitor lists when you have a migration story, switch incentive, or uninstall timing signal.

### What traffic tier should Shopify app founders target first?

For most paid apps, start with 50K-200K monthly visits. That tier has **193,848** accounts, **74,832** verified-contact accounts, and an average of **8.1** detected apps. Under 50K is better for free apps, beta feedback, and low-ticket tools.

### Why is verified role coverage so low?

Role-ready coverage is stricter than contact coverage. A store needs a verified email and a mapped role that matches the app category. Many stores have contacts, but the role is unknown, generic, or not tied to ecommerce, marketing, operations, support, or technical buying.

### What should I use in the first line of an outreach email?

Use visible evidence from the account. Examples include paid-media pixels without attribution, email tooling without capture, large catalog without search, or lifecycle tools without reviews. Avoid fake familiarity and vague compliments.

### How many internal signals should a cold outreach list require?

Require at least one pain signal and one maturity signal. For example, an analytics app can require paid-media pixels plus 50K+ traffic. An upsell app can require email plus reviews plus no visible upsell layer.

### Can StoreInspect detect every Shopify app?

No. StoreInspect detects storefront-visible apps from public signals. Backend-only apps, private apps, custom integrations, and some headless workflows may not appear. Treat missing-app data as a prospecting signal that deserves verification before high-stakes outreach.

### How should I handle accounts with no contact?

Do not discard every account-only fit. Put those accounts into Lane D for enrichment, LinkedIn research, partner introductions, retargeting, or future contact scraping. The account can still be valuable even if the first export has no verified email.

### What is the biggest mistake in Shopify app outreach?

The biggest mistake is exporting stores before defining the wedge. A sendable list needs account fit, contact lane, and first-line proof. Without those, outreach becomes a generic merchant blast.

## Key Findings Table

| Finding | Number |
|---|---:|
| Shopify stores analyzed | 565,026 |
| Contact records analyzed | 748,918 |
| Stores above 50K monthly visits | 205,067 |
| 50K+ stores with any contact | 174,119 |
| 50K+ stores with verified contact | 79,997 |
| 50K+ stores with verified mapped role | 5,574 |
| Largest app outreach pool | Popup and capture, 166,347 accounts |
| Highest average product count pool | Search and merchandising, 4,826 products |
| Best broad paid-media wedge | Analytics and attribution, 151,101 accounts |
| Best default paid-app tier | 50K-200K traffic |