Sellforte pricing
Your monthly media investments
275 000€
0
10M
Estimated monthly additional sales
An average sales uplift that we've witnessed our customers gaining once Sellforte is implemented and insights are put into action
+ 97 300 €Adjust impact
How many media channels do you use?
E.g., Google Ads, Facebook Ads, Amazon Ads, Bing Ads, Twitter Ads, LinkedIn Ads, Apple Search Ads, TikTok Ads, Pinterest Ads, Newsletter, SMS, TV, Radio, Magazine, Print, OOH, Cinema
5
0
10
How many main countries do you operate in?
E.g. US, UK, Germany, France, Canada, Italy, China. Each main country should represent at least >1% of your global media investments
1
0
10
How many campaign types/objectives do you run at the same time?
E.g., Brand/Image, AlwaysOn Performance, Awareness, Purchase, Category, Product, Best-Sellers, Seasonal, Product Launch, Sale, Offer, Black Friday, Singles' Day, Back to School, Xmas, Summer, Partners
5
0
10
How large share of your total media investment is in digital (vs. offline)?
100
0
100%
What is your average ROAS (return-on-ad-spend) of digital investments?
ROAS benchmark preferably based on last-click attribution. If not available, then secondarily based on ad network reported numbers (e.g. from Facebook Ads, Google Ads)
3
0
20x
How large share of your total sales is in e-commerce (vs. offline channels)?
100
0
100%
Save 16,66 % by choosing yearly billing. All prices are VAT exclusive.
Digital
€1 490/moYour monthly media investments
275 000€
0
10M
Ideal for eCommerce companies investing in digital media
Included in Digital
- Modeling of Google Analytics / GA4 data with Conversions and/or Revenue as the Target KPI
- Modeling outputs include Base and Digital Media ROIs
- Drill-downs on Ad Platform, Advertising Channel, Media Group, Campaign Name, Campaign Objective and Bidding Strategy level
- Scenario Planning and Optimization
- Automated model refresh up to Daily level
Helping companies like
Extra modeling dimensions
- Number of countries (US, UK, DE, FR, CN, ...)If the modeling results need to be on a country level this additional feature needs to be activated for the number of markets or to the 10 which means all markets. Data needs to be coming from eCom platform like Shopify or data lake like Snowflake or similar.1110
- Number of business areas, products or brandsIf the modeling results needs to be split into different business areas, products or brands, this feature need to be activated for the number of different areas.1110
- Number of customer types (new vs. returning)If the results need to be split into new vs. returning customers. This is mainly due to the data source needed112
- Additional external variablesTrend, Seasonality, Holidays, Covid19 stringency index included as default. Additional external variables priced separately, e.g., Weather, Market indices, Competitor activities004
Services
- Monthly professional services (Number of hours per month)140€/hour from Sellforte CSM or data scientist0010
- Quarterly business review meetings (0 = No, 1 = Yes)On-going Quarterly Business Review meeting prepared and hosted by Sellforte Customer Success Manager. Estimated work: 10 hours per quarter. Hours and pricing are split evenly for a monthly fee001
Data source
- Number of custom data connectorsE.g., Snowflake, Amazon S3 sync, Google BigQuery, SFTP server003
- Standard offline data template in use (0 = No, 1 = Yes)For offline media, e.g., TV, Radio, OOH, Magazine, Direct mail001
Original price: 1490 €
Additional services: 0 €
€1 490/mo
Best ValueBook a demo
Growth
€2 490/moYour monthly media investments
275 000€
0
10M
Perfect for companies in eCommerce with online & offline media investments
Everything in Digital and
- Modeling of CRM data with a Custom Target KPI (e.g., Net Sales After Returns or Gross Profit)
- Impact of Discounts and Promotions included in the modeling
- Drill-downs on Country level
- New vs Returning Customer separation to analyse CLTV/CAC and CAC Payback Time
- Offline and Other Media can be included with Sellforte Offline Data Template
- Ongoing email and Teams/Zoom call support
- + Onboarding fee
Helping companies like
Modeling
- Number of business areas, products or brandsHave results split into different brands (ROI for BRAND x, ROI for brand Y, etc)1110
- Additional external variablesTrend, Seasonality, Holidays, Covid19 stringency index included as default. Additional external variables priced separately, e.g., Weather, Market indices, Competitor activities004
Services
- Monthly professional services140€/hour from Sellforte CSM or data scientist0010
- On-going Quarterly Business Review meeting prepared and hosted by Sellforte Customer Success Manager. Estimated work: 10 hours per quarter. Hours and pricing are split evenly for a monthly fee
Original price: 2490 €
Additional services: 0 €
€2 490/mo
Enterprise
Contact salesYour monthly media investments
275 000€
0
10M
For retailers who have more than one sales channel and a KPI to measure
Everything in Growth and
- Multiple Target KPIs like Sales, Margin and Brand KPIs
- Modeling of Multiple Timeseries on Brand, Business Area, Product Category and Sales Channel level
- Custom Media Taxonomy aligned with customer’s own naming conventions
- Dedicated Customer Success Manager
- Quarterly Business Review meetings (Insights and recommendations explained)
- + Onboarding fee
Helping companies like
| Detailed comparison | Digital | Growth | Enterprise | |
|---|---|---|---|---|
| Book a demo | Book a demo | Contact sales | ||
| Sales Specific sales data and source that will be used in the modeling | GA/GA4 conversion revenue | CRM, ERP, BI or Data lake | CRM, ERP, BI or Data lake | |
| Margin From ERP, BI tool or data warehouse | - | |||
| Website traffic From web analytics tool, e.g., Google Analytics | - | - | ||
| Brand KPIs Modeling how media is driving 1) brand equity and 2) brand equity sales | - | - | ||
| Long-term sales Modeling long term sales, +28 days from the investment | - | - | ||
| Web analytics data via connectors Google Analytics and Google Analytics 4 are the standard data sources | ||||
| Digital media data via connectors Supermetrics, Funnel, Adverity, etc. | ||||
| Custom business data connector Delivering business data e.g. via Snowflake, Amazon S3, Google Big Query, etc. | - | |||
| Offline media data using standard data template | - | |||
| Offline media data using custom data template | - | - | ||
| Custom external variables Weather, store network, distribution footprint, competitor media investments | - | - | ||
| Data history | Up to 3 years | Up to 3 years | Unlimited | |
| Standard external variables Trend, seasonality, holidays, covid19 stringency index and/or Google mobility data | ||||
| Granted discounts and promotions Included from the sales and order data, which is included in the Growth plan | - | |||
| Custom external variables Custom external variables, e.g., store network, distribution footprint, competitor media investments, weather | - | - | ||
| Google Ads | ||||
| Microsoft Advertising (Bing) | ||||
| Facebook Ads | ||||
| TikTok Ads | ||||
| Snapchat Marketing | ||||
| Pinterest Ads | ||||
| Twitter Ads | ||||
| LinkedIn Ads | ||||
| Google Campaign Manager 360 | ||||
| Google Search Ads 360 | ||||
| Google Display & Video 360 | ||||
| Klaviyo | ||||
| MailChimp | ||||
| Criteo | ||||
| Adform | ||||
| Adtraction | ||||
| RTB House | ||||
| Amazon Ads | ||||
| TV | - | |||
| Radio | - | |||
| OOH (Out-Of-Home) | - | |||
| Direct mail Offline and online direct mail or leaflets | - | |||
| - | ||||
| Magazine | - | |||
| Cinema | - | |||
| Display direct buys | - | |||
| Online video direct buys | - | |||
| - | ||||
| SMS | - | |||
| Media driven sales / ROI See the impact that your marketing has had on business.
On ROI figures but also in sales | ||||
| Ad platform ROI Compare ROI between Google Ads, Facebook Ads, Microsoft Advertising, Snapchat Marketing, TikTok Ads, …and if you have offline channels TV, Radio, OOH, Print, Direct Mail, etc. | ||||
| Advertising channel ROI For performance marketing: Google Performance Max, Discovery, Display, Facebook Retargeting, Lookalike, Prospecting, TikTok TopView, Top Feed, Pulse etc.
If scope includes offline mediums, results on following level: TV3, TV4, Clear Channel, JcDecaux, Radio2, Radio3, Magazine5, Magazine6 etc | ||||
| Campaign ROI Get ROI for every campaign: Klaviyo_Welcome_series, Google_PMax_BrandX, Google_Search_BrandX, Google_Search_Discovery, Google_Search_Generic. Facebook_Video_Prospecting, Facebook_Video_Retargeting etc. | ||||
| Campaign objective ROI Split the results of each Ad platform campaigns to different campaign objectives like: Awareness, Traffic, Engagement, Leads and Sales | ||||
| Bidding strategy type ROI Compare ROIs between Target ROAS, Maximize Conversions, CPC, … | ||||
| Country specific ROIs Compare media ROI between different markets: Germany, The U.K., the U.S.A., Canada, Australia, New Zealand, France, Sweden, Finland, etc. | - | |||
| Customer type uplifts See how the campaign has lifted sales of New vs Returning customers | - | |||
| Sales channel uplifts See how the campaign or medium has lifted sales in each sales channel. | - | - | ||
| Product category uplifts Modeling built on a product category level. Enabling campaign / medium-specific uplifts per product category and cross-category effects i.e. from jacket campaign to hat category uplifts. | - | - | ||
| Campaign type ROI Compare campaign type performance between Brand campaigns, Tactical campaigns, Season-End campaigns | - | - | ||
| Customer segment uplifts B2C, B2B, Women, Men, Kids, … or Loyalty card holders and Non-Loyalty card holders | - | - | ||
| ROIs per brand Main Brand, Luxury Brand, Price Conscious Brand, Niche Brand, … | - | - | ||
| Custom media taxonomy During onboarding built custom media taxonomy for example for all media data to have campaign types data (Brand, Tactical, Always-On, Seasonal, etc) | - | - | ||
| Optimal media investment level Use the scenario planning tool to find optimal media investment level for next year, quarter or month | ||||
| Optimal media group split Find out the optimal media split for each campaign type | ||||
| Optimal media split per market Optimize media investments across the markets to get the most out of your global media budget | - | |||
| Optimal campaign type split Find optimal media split between brand, tactical, seasonal and always-on campaigns | - | - | ||
| Optimal media split across brand portfolio Optimize media investment between luxury brand, main brand, niche brand and low-price point brand | - | - | ||
| Update frequency options Digital media allows for higher update frequency (daily/weekly). If offline media is included in Enterprise or Growth plans, then we recommend to model with full data using monthly update frequency | Up to daily | Up to daily | Monthly/Quarterly | |
| Calibration with experiments and lift tests | ||||
| Manual data deliveries via Sellforte Data Platform | - | |||
| Ingest data from Google Sheets | - | |||
| Standard data harmonization across channels | ||||
| Custom classifications Create custom classes of data, e.g., define that campaign objective can have values "Brand" or "Performance" | - | - | ||
| Custom rules Create custom rules for classifying data, e.g., define which strings within campaign names indicate that the campaign has "Brand" campaign objective | - | - | ||
| Custom transformations Rename campaign names, trim campaign names | - | - | ||
| Export as .xlsx Excel-file | ||||
| Export to data warehouse | - | - | ||
| Number of environments Separate production and testing environments, e.g., to allow comparison of results with different model calibrations (production vs. test) and to allow limited access to partners responsible of data deliveries only. | 1 | 2 | Unlimited | |
| Customized UI data dimensions | - | |||
| Number of users | 3 | 5 | Unlimited | |
| IP whitelisting | ||||
| VPN access | ||||
| Azure AD SSO | - | - | ||
| Google SSO | - | - | ||
| Email support | ||||
| Access to Sellforte Support Center | ||||
| Teams/Zoom support | - | |||
| Dedicated Customer Success Manager | - | - | ||
| Quarterly Business Reviews (QBRs) | - | - | ||
| Onboarding accelerator | - | - | ||
| Standard Sellforte Terms of Service | ||||
Frequently asked questions
Digital
We use data connectors like Supermetrics and Funnel to automate all data pulls and updates. If you don't have a data connector already, Sellforte's sales will update you about a joint deal.
Growth
Digital media with data connectors and offline media with standard data templates or with custom data sources (extra costs)
Enterprise
Enterprise setup is always tailored for the customer, but we try to automate all the data updates as much as possible.
Again, Digital media is connected with connectors and offline media by using either templates or providing a data dump on Sellforte's Upload service during onboarding. Later those data sources will be automated
We would love to be as open as possible with the pricing, but sometimes it's not that easy to bring complex pricing to a simple website.
To be able to give out a price for an Enterprise solution we need to understand and consult about the modeling scope that is planned to be set up.
Also, the data quality, connections, automation level, used media groups, media data sources, modeled timeseries and service level plays a role in Enterprise pricing, so we figured out it's actually easier to discuss this over a video call and get a proposal afterwards.
This lets multiple different types of customers enjoy the product at a price level that takes into account their unique situation and the value they get from the product.
This pricing method was chosen at Sellforte since, in our opinion, customers view MMM SaaS solutions more in terms of the value the platform can give to their business than wanting to pay for the modeling work itself.
Since we know the value of MMM lies in media investments, it’s the most natural way the base the pricing on it. Whether your annual media budget is 300 000 € or 100 million € the impact is percentage-wise pretty much the same if there is only some complexity to be optimized.
Yes, this is a very typical way of implementing Sellforte since Digital is fast to implement and you start learning from the data faster.
On the other hand, if you use a lot of offline media, your results will change a bit after offline media is updated to the scope.
You also miss the opportunity to optimize the full entity immediately and make the most out of your budget.