Lengow alternative

Lengow vs Textfinity on the facts each one publishes

Every Lengow cell below comes from lengow.com on the date in the footnote. Lengow's pricing page offers a demo and lists scale figures (17+ years, 3,600+ brands and retailers, 1B+ products monitored on 35K+ websites in 70+ countries) but no plan, price or limit, so those cells read 'not published'. Textfinity cells come from its own product documentation.

What Lengow does that a feed tool does not

Lengow's own description of its suite makes the gap clear. NetMarkets 'simplifies marketplace selling' by connecting to 70+ platforms with listings, prices and orders synced. NetRivals tracks market prices, lets you define rules and applies dynamic pricing across channels. NetMonitor flags unauthorized sellers, MAP breaches and stock issues. NetAmplify, the feed product, can pause SKUs with low POAS or conversion using clean-up logic and re-entry rules, and can stop ads for a SKU when NetMonitor spots a reseller below MAP.

Textfinity does none of the non-feed parts. It has no marketplace order management, no price monitoring, no campaign automation and no PPC reporting. It publishes Amazon and eBay listing feeds, but orders stay in your store or marketplace account. If your reason for Lengow is NetMarkets or NetRivals, a feed tool is a complement, not a replacement.

When a Lengow alternative is the right call

Three situations come up repeatedly. First, a store with one catalog and a few ad channels that signed up for the suite and uses one module. Second, an agency running feeds for several small clients that needs a feed cost sized to a client with 500 SKUs, not a suite. Third, a merchant who needs to know where product and price data is processed, because Lengow's pages do not state a hosting region.

Textfinity's answer to all three is the same: feed software quoted per catalog after a short call, sized to the feed job alone, and set up for you. We configure mapping, filtering, scheduled publishing and, where it helps, AI titles, descriptions and translation; the software then rebuilds each feed on schedule. Processing runs on Hetzner servers in Germany; AI runs on Vertex AI EU endpoints; the operator is Datafinity AB in Sweden.

Feed rules, AI and channels compared

Lengow's unified-data page gives one NetAmplify rule example (pause low-performing SKUs after a 7-day window) and says the product adapts titles, adds pricing context and removes weak performers; it does not publish the full rule set, and an 'AI Studio' appears in the menu without a description. Textfinity's rules are enumerated: per-column transforms (rename, combine, capitalize, static value, prefix, suffix, remove or replace from regexp, Google Sheet lookup and extract, replace from AI config, advanced DSL) and 26 filter operators from 'includes' to 'matches regexp' and 'is in google sheet list'.

Performance-based rules are the one place the models differ in kind. Lengow pauses SKUs on POAS or conversion; Textfinity has no ad data, so a pause has to be driven by a column you supply, typically a Google Sheet of SKUs to exclude maintained from your ads reporting. That is a manual step, and it is the honest limit of a tool that never touches the ad account.

On channels: Lengow's NetAmplify figure is 400+ ad destinations. Textfinity templates cover Google Shopping (and free listings), Microsoft Ads, Meta Ads, TikTok Ads, Pinterest Ads, Snapchat Ads, Amazon Ads, eBay, Kelkoo, Prisjakt and PriceRunner, plus custom feeds with the channel's own columns for any channel that fetches a CSV or TSV URL, such as Idealo, Awin or Criteo. Each feed is a URL the channel fetches on a schedule; we register it with you in Merchant Center and Commerce Manager.

What moving a feed off Lengow looks like

The feed logic migrates as a list of columns. For each output attribute, note where the value comes from and what is done to it, then rebuild it as one mapping rule. Exclusions become filter rules. Performance pauses become a Google Sheet list. Run the two feeds side by side for one sync, compare product counts and a sample of titles, then repoint the channel.

title with price context   -> advanced: [brand] + " " + [title] + " - from " + [price]
remove weak performers     -> filter: exclude if [sku] is in google sheet list
marketplace category map   -> replace from google sheet: category -> channel_category (if [category] is in google sheet list)
hide items below margin    -> filter: exclude if [price] is less than 15